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Global Forest Watch’s 2024 Tree Cover Loss Data Explained

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<p>Over the past several decades, forest loss has been a <a href="https://research.wri.org/gfr/latest-analysis-deforestation-trends" target="_blank" rel="noreferrer noopener">stubbornly persistent problem</a> that can disrupt ecosystems, biodiversity and climate stability, as well as negatively impact forest-dependent people around the world.</p>



<p>However, <a href="https://research.wri.org/gfr/key-terms-definitions#tree-cover-loss-and-deforestation" target="_blank" rel="noreferrer noopener">not all forest loss is created equal</a>. Deforestation, which typically refers to the permanent conversion of forests to other land uses, often has more severe carbon and ecological impacts compared to temporary forest disturbances such as from logging and other natural and anthropogenic causes.</p>



<p>To better track and differentiate these changes, Global Forest Watch (GFW), Land & Carbon Lab and <a href="https://deepmind.google/" target="_blank" rel="noreferrer noopener">Google DeepMind</a> have developed a <a href="https://doi.org/10.1088/1748-9326/add606" target="_blank" rel="noreferrer noopener">new global data set</a> — <a href="https://gfw.global/39qbPdC">available on GFW</a> — on the drivers of tree cover loss at 1-kilometer (km) resolution from 2001 to 2024. Previously, data on drivers was available at <a href="https://www.science.org/doi/10.1126/science.aau3445" target="_blank" rel="noreferrer noopener">10-km resolution</a>. The development of this data was led by <a href="https://sustainabilityconsortium.org/" target="_blank" rel="noreferrer noopener">The Sustainability Consortium</a> and provided the foundation for the new 1-km data set. The higher resolution of the new data makes it possible to assess drivers in local or regional applications for the first time. The new data also has more driver classes, providing the most detailed view of drivers yet.</p>



<figure class="wp-block-image size-full"><img decoding="async" loading="lazy" width="1500" height="619" src="https://content.globalforestwatch.org/wp-content/uploads/2025/05/global_drivers_wlogging-1.png" alt="" class="wp-image-19070" srcset="https://content.globalforestwatch.org/wp-content/uploads/2025/05/global_drivers_wlogging-1.png 1500w, https://content.globalforestwatch.org/wp-content/uploads/2025/05/global_drivers_wlogging-1-1024x423.png 1024w, https://content.globalforestwatch.org/wp-content/uploads/2025/05/global_drivers_wlogging-1-768x317.png 768w" sizes="(max-width: 1500px) 100vw, 1500px" /></figure>



<p>Thanks to this increased granularity, the new data can be used to support the development of forest conservation and management policies, inform supply chain actors and governments bodies about the causes of deforestation, carbon emissions and biodiversity loss within their supply chains and jurisdictions, and track progress towards global goals to end deforestation.</p>



<h2 class="wp-block-heading">How was the new drivers of tree cover loss data developed?&nbsp;</h2>



<p>The new drivers of tree cover loss data, part of a World Resources Institute (WRI) and Google DeepMind collaboration, was developed using deep learning, which is a type of advanced AI model. We developed a <a href="https://arxiv.org/abs/1912.11370" target="_blank" rel="noreferrer noopener">customized</a> <a href="https://arxiv.org/abs/1512.03385" target="_blank" rel="noreferrer noopener">Residual Network</a> (or ResNet, a convolutional neural network model) that uses publicly available satellite observations from Landsat 7 & 8 and Sentinel 2 along with additional satellite-derived biophysical and population data relevant to the driver classes (<a href="https://iopscience.iop.org/article/10.1088/1748-9326/add606" target="_blank" rel="noreferrer noopener">see Table 2</a>) to predict the dominant driver of tree cover loss from 2001 to 2024 at 1-km resolution.</p>



<p>To train the model to make accurate predictions, we visually interpreted nearly 7,000 training samples using very-high resolution imagery. The model uses these labeled samples to learn how to associate the patterns from the input satellite imagery and other supporting data with a driver class. ResNet is a powerful AI algorithm because it uses many data transformations (or “layers”) to extract important features or patterns from an image. It can handle intricate tasks like recognizing objects in images more accurately and efficiently than traditional machine learning approaches.</p>



<p>We also collected an independent stratified random sample of 3,574 1-km plots to estimate the accuracy of the final drivers of tree cover loss map. Both the training and validation data sets are available on <a href="https://zenodo.org/records/15366671" target="_blank" rel="noreferrer noopener">Zenodo</a> and <a href="https://datasets.wri.org/datasets/dominant-drivers-of-tree-cover-loss-at-1km" target="_blank" rel="noreferrer noopener">WRI’s Data Explorer</a>. You can <a href="https://doi.org/10.1088/1748-9326/add606" target="_blank" rel="noreferrer noopener">learn more here</a> about the methodology behind the new data. </p>



<p>The data distinguishes between seven classes of drivers: permanent agriculture, hard commodities, shifting cultivation, logging, settlements and infrastructure, wildfire, and other natural disturbances. The dominant driver is defined as the direct driver that caused the majority of <a href="https://gfw.global/2HrzxeF">tree cover loss area</a> within each 1-km grid cell from 2001 to 2024.</p>



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<div class="flourish-embed" data-src="story/2915360?163031"><script src="https://public.flourish.studio/resources/embed.js"></script><noscript><img decoding="async" src="https://public.flourish.studio/story/2915360/thumbnail" width="100%" alt="visualization" /></noscript></div>



<p>In addition to the drivers of tree cover loss classification, we also created seven probability layers, one for each of the seven driver classes. With these layers, users can implement different probability thresholds to customize the driver classification based on their knowledge of a region of interest. For example, a stakeholder in Southeast Asia interested in understanding tree cover loss due to palm oil expansion can select a custom threshold for the permanent agriculture class (e.g., greater than 0.7), and can exclude areas where probabilities of multiple drivers are high (e.g., no single class has a probability higher than 0.6) as those are more uncertain. The probabilities are available on <a href="https://datasets.wri.org/datasets/dominant-drivers-of-tree-cover-loss-at-1km" target="_blank" rel="noreferrer noopener">WRI’s Data Explorer</a> and <a href="https://developers.google.com/earth-engine/datasets/catalog/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_2_2001_2024" target="_blank" rel="noreferrer noopener">Google Earth Engine.</a></p>



<p>Despite the improvements the new data provides, there are some limitations:</p>



<ul>
<li>The map does not distinguish between the loss of natural forest and planted trees. For example, logging can occur in both natural forests and plantations. Similarly, permanent agriculture, hard commodities, and settlements and infrastructure classes represent a close approximation of deforestation but do not always represent the conversion of natural forests to other land uses.</li>



<li>We do not disentangle different drivers that are co-located at scales smaller than 1- km or that occur in quick succession in time.</li>
</ul>



<p><a href="https://doi.org/10.1088/1748-9326/add606" target="_blank" rel="noreferrer noopener">Read more details here</a> about the limitations of the data.</p>



<h2 class="wp-block-heading">Where can I find the new drivers of tree cover loss data on GFW?&nbsp;</h2>



<p>Users can access the data on the<a href="https://gfw.global/39qbPdC"> GFW map</a>. Users can also analyze the area and proportion of loss attributable to each driver from 2001 to 2024 within their area of interest.</p>



<iframe loading="lazy" width="630" height="460" frameborder="0" src="https://www.globalforestwatch.org/embed/widget/treeLossTsc/country/BRA"></iframe>



<p>Note that results from the previous drivers of tree cover loss data were displayed on the GFW dashboard as a bar chart time series, while results from the new data are displayed as a donut chart. We have changed the visualization to better reflect the characteristics of the underlying data set — the dominant driver of tree cover loss for the full time period between 2001 and 2024.</p>



<h2 class="wp-block-heading">How does the new drivers of tree cover loss data compare with the previous data?&nbsp;</h2>



<p>Compared to the <a href="https://www.science.org/doi/10.1126/science.aau3445" target="_blank" rel="noreferrer noopener">previous drivers of tree cover loss data set</a>, the new data has the following improvements:</p>



<ul>
<li>Higher spatial resolution<ul><li>Improves differentiation between small-scale commodity crop production and shifting cultivation</li></ul>
<ul>
<li>Improves detection of small-scale drivers, such as small wildfires, settlements and infrastructure, and selective logging</li>
</ul>
</li>



<li>More driver classes<ul><li>Separates commodity-driven deforestation into two separate classes: permanent agriculture and hard commodities (i.e., mining and energy infrastructure)</li></ul>
<ul>
<li>Adds a new class: other natural disturbances (e.g., storms, flooding, landslides, etc.)</li>
</ul>
</li>



<li>Higher accuracy and added probability layers<ul><li>Has higher accuracy for most regions (except Europe and Africa) and smaller confidence intervals across all regions</li></ul>
<ul>
<li>Provides probability layers, one for each of the seven driver classes</li>
</ul>
</li>
</ul>



<h4 class="wp-block-heading">Specifications of the previous 10-km data and the new 1-km data&nbsp;</h4>



<table>
    <tr>
        <td><strong>Data set</strong></td>
        <td><strong>Geographic coverage</strong></td>
        <td><strong>Years of coverage</strong></td>
        <td><strong>Spatial resolution</strong></td>
        <td><strong>Number of driver classes</strong></td>
        <td><strong>Number of layers</strong></td>
        <td><strong>Global overall accuracy</strong></td>
    </tr>
    <tr>
        <td>Previous 10-km drivers data 
<a href="https://www.science.org/doi/10.1126/science.aau3445">(Curtis et al., 2018)</a>
 </td>
        <td>Global </td>
        <td>2001-2023 </td>
        <td>10-km  </td>
        <td>5 </td>
        <td>1 </td>
        <td>89 ± 3% </td>
    </tr>
    <tr>
        <td>New 1-km drivers data <a href="https://doi.org/10.1088/1748-9326/add606">(Sims et al. 2025)</a></td>
        <td>Global </td>
        <td>2001-2024, to be updated annually with new tree cover loss data </td>
        <td>1-km  </td>
        <td>7 </td>
        <td>8, 1 for driver classes and 7 layers of probabilities </td>
        <td>91 ± 1% </td>
    </tr>
</table>



<figure class="wp-block-image size-large is-resized"><img decoding="async" loading="lazy" width="2048" height="1638" src="https://content.globalforestwatch.org/wp-content/uploads/2025/05/Drivers-accuracy-comparison-2048x1638.png" alt="" class="wp-image-19053" style="aspect-ratio:1.2503052503052503;width:840px;height:auto" srcset="https://content.globalforestwatch.org/wp-content/uploads/2025/05/Drivers-accuracy-comparison-2048x1638.png 2048w, https://content.globalforestwatch.org/wp-content/uploads/2025/05/Drivers-accuracy-comparison-1024x819.png 1024w, https://content.globalforestwatch.org/wp-content/uploads/2025/05/Drivers-accuracy-comparison-768x614.png 768w, https://content.globalforestwatch.org/wp-content/uploads/2025/05/Drivers-accuracy-comparison-1536x1229.png 1536w" sizes="(max-width: 2048px) 100vw, 2048px" /></figure>



<p>These improvements can be seen when comparing the two data sets in various places.</p>



<div class="flourish-embed flourish-photo-slider" data-src="visualisation/21394669?163031"><script src="https://public.flourish.studio/resources/embed.js"></script><noscript><img decoding="async" src="https://public.flourish.studio/visualisation/21394669/thumbnail" width="100%" alt="photo-slider visualization" /></noscript></div>



<p>The new data differentiates small scale fires from logging in Oregon, USA. The previous data in the same location classifies all loss as forestry.</p>



<div class="flourish-embed flourish-photo-slider" data-src="visualisation/21452304?163031"><script src="https://public.flourish.studio/resources/embed.js"></script><noscript><img decoding="async" src="https://public.flourish.studio/visualisation/21452304/thumbnail" width="100%" alt="photo-slider visualization" /></noscript></div>



<p>The new data detects mining, smallholder cocoa production, and urban expansion outside Kumasi, Ghana. The previous data in the same location classifies shifting agriculture and urban expansion.</p>



<div class="flourish-embed flourish-photo-slider" data-src="visualisation/21452353?163031"><script src="https://public.flourish.studio/resources/embed.js"></script><noscript><img decoding="async" src="https://public.flourish.studio/visualisation/21452353/thumbnail" width="100%" alt="photo-slider visualization" /></noscript></div>



<p>The new data detects selective logging, fires and flooding for hydropower in the Ouésso District of the Republic of Congo. The previous data in the same location classifies all loss as shifting agriculture.</p>



<p>Due to the substantial improvements the new data offers, we recommend using the 1-km drivers data set for analysis of tree cover loss drivers going forward. However, the previous 10-km data can still be accessed via the <a href="https://data.globalforestwatch.org/documents/ff304784a9f04ac4a45a40f60bae5b26/about" target="_blank" rel="noreferrer noopener">GFW open data portal</a>.</p>



<h2 class="wp-block-heading">How can the new data be used and what does it tell us about drivers of tree cover loss?&nbsp;</h2>



<iframe loading="lazy" width="670" height="490" frameborder="0" src="https://www.globalforestwatch.org/embed/map/?map=eyJkYXRhc2V0cyI6W3siZGF0YXNldCI6InRyZWUtY292ZXItbG9zcy1ieS1kb21pbmFudC1kcml2ZXIiLCJvcGFjaXR5IjoxLCJ2aXNpYmlsaXR5Ijp0cnVlLCJsYXllcnMiOlsidHJlZS1jb3Zlci1sb3NzLWJ5LWRvbWluYW50LWRyaXZlciJdfSx7ImRhdGFzZXQiOiJwb2xpdGljYWwtYm91bmRhcmllcyIsImxheWVycyI6WyJkaXNwdXRlZC1wb2xpdGljYWwtYm91bmRhcmllcyIsInBvbGl0aWNhbC1ib3VuZGFyaWVzIl0sIm9wYWNpdHkiOjEsInZpc2liaWxpdHkiOnRydWV9XX0%3D"></iframe>



<p>On a global scale, our analysis of the new data reveals that most tree cover loss can be attributed to three main drivers: permanent agriculture, wildfire and logging. But while drivers like other natural disturbances, <a href="https://www.wri.org/insights/how-mining-impacts-forests" target="_blank" rel="noreferrer noopener">hard commodities</a> and settlements and infrastructure represent a relatively small proportion of loss globally, they can play an important role regionally. <a href="https://doi.org/10.1088/1748-9326/add606" target="_blank" rel="noreferrer noopener">Read more here</a> about findings from the data on what’s driving tree cover loss.</p>



<p>This analysis demonstrates how the higher level of spatial detail in the new map provides useful contextual information for users to understand the nature of tree cover loss in their local area of interest. For example, using the map, GFW users can now separate tree cover loss due to expansion of “soft” agricultural commodities from “hard” commodities such as minerals, better characterize selective logging in the tropics and better differentiate permanent agriculture from shifting cultivation. Moreover, this map represents a major advancement in differentiating between natural and anthropogenic losses by detecting events such as bark beetle outbreaks, hurricane damage, meandering rivers and other natural disturbance events. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p>



<p>Because these improvements allow us to disentangle deforestation from temporary disturbances in greater detail, the new data improves our ability to track progress towards reducing deforestation such as in the <a href="https://forestdeclaration.org/about/assessment/" target="_blank" rel="noreferrer noopener">Forest Declaration Assessment</a>, the <a href="https://research.wri.org/gfr/forest-targets-tracker" target="_blank" rel="noreferrer noopener">Global Forest Review Targets Tracker</a> and the <a href="https://www.wri.org/research/state-climate-action-2023" target="_blank" rel="noreferrer noopener">State of Climate Action</a> report.</p>



<p>The new data can be used to support the development of forest conservation and management policies by making it possible to pinpoint the causes of deforestation hotspots at finer scales than ever before possible. Detailed insights allow policymakers and conservationists to design tailored interventions to address specific drivers such as logging, for example, and to hold accountable governments and organizations based on their conservation commitments.</p>



<p>Additionally, using this new data, we can refine <a href="https://gfw.global/3jLklJ9" target="_blank" rel="noreferrer noopener">maps</a> of <a href="https://www.wri.org/insights/forests-absorb-twice-much-carbon-they-emit-each-year" target="_blank" rel="noreferrer noopener">greenhouse gas emissions</a> due to tree cover loss by assigning different amounts of emissions to each driver of loss. It also improves our understanding of the causes of emissions from tree cover loss.</p>



<h2 class="wp-block-heading">What’s next for 1-km global drivers of tree cover loss data?&nbsp;</h2>



<p>This new data replaces the previous 10-km data across the whole GFW platform and in all analyses, such as <a href="https://www.nature.com/articles/s41558-020-00976-6" target="_blank" rel="noreferrer noopener">GFW’s carbon flux model</a>. The new data is used in the <a href="https://gfr.wri.org/latest-analysis-deforestation-trends" target="_blank" rel="noreferrer noopener">2024 analysis of tree cover loss</a> and in the updated <a href="https://gfr.wri.org/" target="_blank" rel="noreferrer noopener">Global Forest Review</a>. We will update the new 1-km drivers of tree cover loss data annually. </p>



<p>In the future, we plan to develop an AI model to map drivers of tree cover loss at even higher temporal and spatial resolution to understand how different drivers play out over time. Annual data on the drivers of tree cover loss is critical for assessing deforestation after specific cutoff dates relevant for policy commitments such as European Union Deforestation Regulation (EUDR) and for quantifying trends in drivers such as expansion of commodity agriculture.</p>



<style type="text/css"></style>

New Data on GFW Provides the Most Detailed Look Yet of What’s Driving Forest Loss Globally

New data on GFW shows drivers of tree cover loss at 1-kilometer resolution, providing the most detailed view of drivers yet.

The Most Detailed Look Yet of What’s Driving Forest Loss Globally

Melissa Rose

Nancy Harris

What’s New With GFW’s Forest Carbon Monitoring

Carbon monitoring data on GFW provides information on where forests are gaining or losing carbon. We updated the model in 2023 and 2024.

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Teresa Schofield

<p>Global Forest Watch (GFW) is constantly being updated to reflect the most recent and accurate data related to forests. To that end, we’ve updated the political boundaries available on GFW to the most recent version from the Database of Global Administrative Areas (GADM), an open-source political boundary data set. This update ensures that the map, statistics and analyses on GFW use the latest and most accurate information.</p>



<p>With this update, you may observe some changes that are important to be aware of, including changes to the names of political areas; the boundaries for countries, regions and subregions; map functionality around disputed areas; information in forest change and fire alert emails; and data set statistics.</p>



<p>This blog will walk through each of these changes — read on to learn more.</p>



<h2 class="wp-block-heading">What is changing and who do these changes affect?</h2>



<p>For many years, GFW has used <a href="https://gadm.org/" target="_blank" rel="noreferrer noopener">GADM boundaries</a> as political boundaries for analyses of geospatial data hosted on GFW. When a user performs an analysis of a political boundary on the map or views statistics for a country on the dashboards, they are seeing statistics for a GADM boundary.</p>



<p>In this recent update, we moved from GADM version 3.6 to version 4.1 to provide newer and more accurate information, including renamed areas, adjustments to political borders and more.</p>



<p>Please note, however, that there are various sources of political boundaries available. You can <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/">view instructions in our Help Center</a> on how to upload shapefiles of an alternative country, region or subregion’s boundary.</p>



<p>At the time of this article’s publication, this change is only relevant to the main GFW site, map and dashboards. GFW Pro will also update its political boundaries soon.</p>



<h2 class="wp-block-heading">Which areas are affected by this update?</h2>



<p>This update includes changes in boundaries across the globe at different levels. GADM labels these different levels as “administrative units,” and breaks them down as follows: “admin 0” refers to country level, “admin 1” refers to state/province level, and “admin 2” refers to county/district level.</p>



<h3 class="wp-block-heading">Country boundaries</h3>



<p>There is no official changelog available from GADM for this update, but our team has identified several changes to country boundaries. We saw small but noticeable differences in the borders of approximately 10 countries: Chile, China, Colombia, Costa Rica, Djibouti, Saudi Arabia, Somalia, Togo and Uruguay.</p>



<h3 class="wp-block-heading">Subnational boundaries</h3>



<p>Our analysis also revealed several updated subnational boundaries.</p>



<p>Multiple countries added or removed regions (admin 2 areas):</p>



<table>
    <tr>
        <td>Countries</td>
        <td>Number of regions in GADM 3.6</td>
        <td>Number of regions in GADM 4.1</td>
        <td>Change </td>
    </tr>
    <tr>
        <td>Colombia</td>
        <td>1065</td>
        <td>1119</td>
        <td>+54 </td>
    </tr>
    <tr>
        <td>Togo</td>
        <td>21</td>
        <td>40</td>
        <td>+19 </td>
    </tr>
    <tr>
        <td>Djibouti</td>
        <td>11</td>
        <td>21</td>
        <td>+10 </td>
    </tr>
    <tr>
        <td>Brunei</td>
        <td>32</td>
        <td>39</td>
        <td>+7 </td>
    </tr>
    <tr>
        <td>American Samoa</td>
        <td>16</td>
        <td>17</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Benin</td>
        <td>76</td>
        <td>77</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Chile</td>
        <td>54</td>
        <td>55</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Costa Rica</td>
        <td>81</td>
        <td>82</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Australia</td>
        <td>569</td>
        <td>568</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Kenya</td>
        <td>301</td>
        <td>300</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Ukraine</td>
        <td>629</td>
        <td>628</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Yemen</td>
        <td>333</td>
        <td>332</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Macao</td>
        <td>8</td>
        <td>2</td>
        <td>-6 </td>
    </tr>
    <tr>
        <td>Uruguay</td>
        <td>204</td>
        <td>141</td>
        <td>-63 </td>
    </tr>
    <tr>
        <td>Netherlands</td>
        <td>491</td>
        <td>355</td>
        <td>-136 </td>
    </tr>
</table>



<p></p>



<p>At the subnational level, we noted some changes in names, identification codes and/or borders, especially in West and Southern Africa, Central America, South America, Europe and Southeast Asia. The yellow areas of the map below show the updated admin 2 areas that were changed: &nbsp;&nbsp;</p>



<figure class="wp-block-image size-full"><img decoding="async" loading="lazy" width="1500" height="885" src="https://content.globalforestwatch.org/wp-content/uploads/2025/04/gadm_changes_gold-1.png" alt="" class="wp-image-18783" srcset="https://content.globalforestwatch.org/wp-content/uploads/2025/04/gadm_changes_gold-1.png 1500w, https://content.globalforestwatch.org/wp-content/uploads/2025/04/gadm_changes_gold-1-1024x604.png 1024w, https://content.globalforestwatch.org/wp-content/uploads/2025/04/gadm_changes_gold-1-768x453.png 768w" sizes="(max-width: 1500px) 100vw, 1500px" /></figure>



<h3 class="wp-block-heading">Disputed boundaries</h3>



<p>One major change in this update is that some politically disputed boundaries are no longer included in any country or subnational analysis (note that GADM does not include all disputed boundaries in their data).</p>



<p>With this update, disputed areas are only included in global analysis available on the dashboards. This is because the previous GADM version (3.6) did not delineate disputed boundaries, but GADM 4.1 does: in version 4.1, disputed areas are separated from adjacent admin areas and have their own identification codes. This will mean that the GFW country analyses will no longer include any areas GADM identifies as politically disputed.</p>



<p>For example, the disputed region of Kashmir between China, Pakistan and India is now delineated in version 4.1.</p>



<div class="flourish-embed flourish-photo-slider" data-src="visualisation/22364626?163031"><script src="https://public.flourish.studio/resources/embed.js"></script><noscript><img decoding="async" src="https://public.flourish.studio/visualisation/22364626/thumbnail" width="100%" alt="photo-slider visualization" /></noscript></div>



<h2 class="wp-block-heading">How will this update affect GFW data and statistics?</h2>



<h3 class="wp-block-heading">Analyses</h3>



<p>With this update, any changes in area boundaries will result in some changes to statistics and results of analyses. If you’d like to compare the previous and new version of your admin area, we recommend downloading the 3.6 version for the chosen area via the <a href="https://gadm.org/old_versions.html" target="_blank" rel="noreferrer noopener">GADM site</a> and comparing it to the same area on the GFW map or dashboard. Please see <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/">this article in our Help Center</a> for instructions on how to upload shapefiles<strong><em>.</em></strong></p>



<p>As an example of this type of change, there are now five provinces in Kalimantan, Indonesia instead of four: Kalimantan Timur (East Kalimantan) has split into two areas — <a href="https://www.globalforestwatch.org/dashboards/country/IDN/34/?location=WyJjb3VudHJ5IiwiSUROIiwiMzQiXQ%3D%3D&map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D">Kalimantan Timur</a> and <a href="https://www.globalforestwatch.org/dashboards/country/IDN/35/?map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D">Kalimantan Utara (North Kalimantan)</a>.&nbsp;</p>



<h3 class="wp-block-heading">Alert subscriptions and areas saved to MyGFW accounts</h3>



<p>Users will no longer receive alert subscription emails for countries, regions or subregions saved to their MyGFW account before April 29, 2025<strong><em>.</em></strong></p>



<p>To make this change more convenient, we automatically updated political boundaries for saved countries, regions and subregions that maintained the same name between GADM versions 3.6 and 4.1. Users whose areas were automatically updated will receive an email notifying them of this change.</p>



<p>However, if you did not receive an email from us or have multiple saved political boundaries, we recommend that you re-save relevant areas of interest to your MyGFW account:</p>



<ol type="1" start="1">
<li>Navigate to your <a href="https://www.globalforestwatch.org/my-gfw/?utm_medium=email&utm_source=email1&utm_campaign=gadmupdate">MyGFW account</a> and look for areas marked with an “outdated area, notifications paused” tag.</li>



<li>Once you have noted the country, region or subregion that is no longer receiving alert emails, navigate to <a href="https://www.globalforestwatch.org/map/?utm_medium=email&utm_source=email1&utm_campaign=gadmupdate">www.globalforestwatch.org/map</a>.</li>



<li><a href="https://www.globalforestwatch.org/map/?map=eyJkYXRhc2V0cyI6W3siZGF0YXNldCI6InBvbGl0aWNhbC1ib3VuZGFyaWVzIiwibGF5ZXJzIjpbImRpc3B1dGVkLXBvbGl0aWNhbC1ib3VuZGFyaWVzIiwicG9saXRpY2FsLWJvdW5kYXJpZXMiXSwiYm91bmRhcnkiOnRydWUsIm9wYWNpdHkiOjEsInZpc2liaWxpdHkiOnRydWV9XX0%3D&mapMenu=eyJtZW51U2VjdGlvbiI6InNlYXJjaCJ9&utm_medium=email&utm_source=email1&utm_campaign=gadmupdate">Search for the area</a> or navigate to it.</li>



<li>Click on the area, select “analyze,” and then select “save in MyGFW.”</li>



<li>Customize the saved area by selecting a name, tags, alert notifications and more, and then click “save.”</li>
</ol>



<p>You will then continue to receive alert notification emails for this area.</p>



<h3 class="wp-block-heading">Embeds and URLs</h3>



<p>Embeds of and links to countries, regions and subregions on the dashboard and map may now show or link to new areas. This is due to the GADM identification code changing between versions.</p>



<p>If you are using an embed that shows a political boundary, we recommend checking that it still shows the area you originally chose; if the area’s identifier changed, the embed may show an entirely new area.</p>



<h4 class="wp-block-heading">Example from Ghana where the embed shows a new area due to the area identifier changing</h4>



<iframe loading="lazy" width="670" height="490" frameborder="0" src="https://www.globalforestwatch.org/embed/map/?mainMap=eyJzaG93QW5hbHlzaXMiOnRydWV9&map=eyJjZW50ZXIiOnsibGF0Ijo2LjkxNjA4ODMwOTEyNDQ2MiwibG5nIjotMC4zOTI1OTAxODgxNzM3Mzk5fSwiem9vbSI6OC42ODQxODM4MTA0ODgzNTMsImNhbkJvdW5kIjpmYWxzZSwiZGF0YXNldHMiOlt7ImRhdGFzZXQiOiJwb2xpdGljYWwtYm91bmRhcmllcyIsImxheWVycyI6WyJkaXNwdXRlZC1wb2xpdGljYWwtYm91bmRhcmllcyIsInBvbGl0aWNhbC1ib3VuZGFyaWVzIl0sImJvdW5kYXJ5Ijp0cnVlLCJvcGFjaXR5IjoxLCJ2aXNpYmlsaXR5Ijp0cnVlfV19&mapMenu=eyJzZWFyY2giOiJzZW5lLCBnaGFuYSJ9&mapPrompts=eyJvcGVuIjp0cnVlLCJzdGVwc0tleSI6InJlY2VudEltYWdlcnkifQ%3D%3D"></iframe>



<p>If you saved a URL that links to a political boundary, we also recommend checking that the URL still shows the desired area of interest. If it does not, follow <a href="https://www.globalforestwatch.org/help/map/guides/how-to-use-map-dashboards/">these instructions</a> on how you can search for an area on the map and dashboards.</p>



<h2 class="wp-block-heading">Where can I ask questions and get help?</h2>



<p>The GFW team aims to provide the latest forest monitoring updates for users and support your use of the GFW platform, and we highly value your feedback. If you have feedback on these changes or need help, please contact us at <a href="mailto:gfw@wri.org">gfw@wri.org.</a></p>



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Global Forest Watch Has Updated Political Boundaries — Here’s What You Should Know

<p>Global Forest Watch (GFW) is constantly being updated to reflect the most recent and accurate data related to forests. To that end, we’ve updated the political boundaries available on GFW to the most recent version from the Database of Global Administrative Areas (GADM), an open-source political boundary data set. This update ensures that the map, statistics and analyses on GFW use the latest and most accurate information.</p>



<p>With this update, you may observe some changes that are important to be aware of, including changes to the names of political areas; the boundaries for countries, regions and subregions; map functionality around disputed areas; information in forest change and fire alert emails; and data set statistics.</p>



<p>This blog will walk through each of these changes — read on to learn more.</p>



<h2 class="wp-block-heading">What is changing and who do these changes affect?</h2>



<p>For many years, GFW has used <a href="https://gadm.org/" target="_blank" rel="noreferrer noopener">GADM boundaries</a> as political boundaries for analyses of geospatial data hosted on GFW. When a user performs an analysis of a political boundary on the map or views statistics for a country on the dashboards, they are seeing statistics for a GADM boundary.</p>



<p>In this recent update, we moved from GADM version 3.6 to version 4.1 to provide newer and more accurate information, including renamed areas, adjustments to political borders and more.</p>



<p>Please note, however, that there are various sources of political boundaries available. You can <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/">view instructions in our Help Center</a> on how to upload shapefiles of an alternative country, region or subregion’s boundary.</p>



<p>At the time of this article’s publication, this change is only relevant to the main GFW site, map and dashboards. GFW Pro will also update its political boundaries soon.</p>



<h2 class="wp-block-heading">Which areas are affected by this update?</h2>



<p>This update includes changes in boundaries across the globe at different levels. GADM labels these different levels as “administrative units,” and breaks them down as follows: “admin 0” refers to country level, “admin 1” refers to state/province level, and “admin 2” refers to county/district level.</p>



<h3 class="wp-block-heading">Country boundaries</h3>



<p>There is no official changelog available from GADM for this update, but our team has identified several changes to country boundaries. We saw small but noticeable differences in the borders of approximately 10 countries: Chile, China, Colombia, Costa Rica, Djibouti, Saudi Arabia, Somalia, Togo and Uruguay.</p>



<h3 class="wp-block-heading">Subnational boundaries</h3>



<p>Our analysis also revealed several updated subnational boundaries.</p>



<p>Multiple countries added or removed regions (admin 2 areas):</p>



<table>
    <tr>
        <td>Countries</td>
        <td>Number of regions in GADM 3.6</td>
        <td>Number of regions in GADM 4.1</td>
        <td>Change </td>
    </tr>
    <tr>
        <td>Colombia</td>
        <td>1065</td>
        <td>1119</td>
        <td>+54 </td>
    </tr>
    <tr>
        <td>Togo</td>
        <td>21</td>
        <td>40</td>
        <td>+19 </td>
    </tr>
    <tr>
        <td>Djibouti</td>
        <td>11</td>
        <td>21</td>
        <td>+10 </td>
    </tr>
    <tr>
        <td>Brunei</td>
        <td>32</td>
        <td>39</td>
        <td>+7 </td>
    </tr>
    <tr>
        <td>American Samoa</td>
        <td>16</td>
        <td>17</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Benin</td>
        <td>76</td>
        <td>77</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Chile</td>
        <td>54</td>
        <td>55</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Costa Rica</td>
        <td>81</td>
        <td>82</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Australia</td>
        <td>569</td>
        <td>568</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Kenya</td>
        <td>301</td>
        <td>300</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Ukraine</td>
        <td>629</td>
        <td>628</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Yemen</td>
        <td>333</td>
        <td>332</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Macao</td>
        <td>8</td>
        <td>2</td>
        <td>-6 </td>
    </tr>
    <tr>
        <td>Uruguay</td>
        <td>204</td>
        <td>141</td>
        <td>-63 </td>
    </tr>
    <tr>
        <td>Netherlands</td>
        <td>491</td>
        <td>355</td>
        <td>-136 </td>
    </tr>
</table>



<p></p>



<p>At the subnational level, we noted some changes in names, identification codes and/or borders, especially in West and Southern Africa, Central America, South America, Europe and Southeast Asia. The yellow areas of the map below show the updated admin 2 areas that were changed: &nbsp;&nbsp;</p>



<figure class="wp-block-image size-full"><img src="https://content.globalforestwatch.org/wp-content/uploads/2025/04/gadm_changes_gold-1.png" alt="" class="wp-image-18783"/></figure>



<h3 class="wp-block-heading">Disputed boundaries</h3>



<p>One major change in this update is that some politically disputed boundaries are no longer included in any country or subnational analysis (note that GADM does not include all disputed boundaries in their data).</p>



<p>With this update, disputed areas are only included in global analysis available on the dashboards. This is because the previous GADM version (3.6) did not delineate disputed boundaries, but GADM 4.1 does: in version 4.1, disputed areas are separated from adjacent admin areas and have their own identification codes. This will mean that the GFW country analyses will no longer include any areas GADM identifies as politically disputed.</p>



<p>For example, the disputed region of Kashmir between China, Pakistan and India is now delineated in version 4.1.</p>



<div class="flourish-embed flourish-photo-slider" data-src="visualisation/22364626?163031"><script src="https://public.flourish.studio/resources/embed.js"></script><noscript><img src="https://public.flourish.studio/visualisation/22364626/thumbnail" width="100%" alt="photo-slider visualization" /></noscript></div>



<h2 class="wp-block-heading">How will this update affect GFW data and statistics?</h2>



<h3 class="wp-block-heading">Analyses</h3>



<p>With this update, any changes in area boundaries will result in some changes to statistics and results of analyses. If you’d like to compare the previous and new version of your admin area, we recommend downloading the 3.6 version for the chosen area via the <a href="https://gadm.org/old_versions.html" target="_blank" rel="noreferrer noopener">GADM site</a> and comparing it to the same area on the GFW map or dashboard. Please see <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/">this article in our Help Center</a> for instructions on how to upload shapefiles<strong><em>.</em></strong></p>



<p>As an example of this type of change, there are now five provinces in Kalimantan, Indonesia instead of four: Kalimantan Timur (East Kalimantan) has split into two areas — <a href="https://www.globalforestwatch.org/dashboards/country/IDN/34/?location=WyJjb3VudHJ5IiwiSUROIiwiMzQiXQ%3D%3D&amp;map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D">Kalimantan Timur</a> and <a href="https://www.globalforestwatch.org/dashboards/country/IDN/35/?map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D">Kalimantan Utara (North Kalimantan)</a>.&nbsp;</p>



<h3 class="wp-block-heading">Alert subscriptions and areas saved to MyGFW accounts</h3>



<p>Users will no longer receive alert subscription emails for countries, regions or subregions saved to their MyGFW account before April 29, 2025<strong><em>.</em></strong></p>



<p>To make this change more convenient, we automatically updated political boundaries for saved countries, regions and subregions that maintained the same name between GADM versions 3.6 and 4.1. Users whose areas were automatically updated will receive an email notifying them of this change.</p>



<p>However, if you did not receive an email from us or have multiple saved political boundaries, we recommend that you re-save relevant areas of interest to your MyGFW account:</p>



<ol type="1" start="1">
<li>Navigate to your <a href="https://www.globalforestwatch.org/my-gfw/?utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate">MyGFW account</a> and look for areas marked with an “outdated area, notifications paused” tag.</li>



<li>Once you have noted the country, region or subregion that is no longer receiving alert emails, navigate to <a href="https://www.globalforestwatch.org/map/?utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate">www.globalforestwatch.org/map</a>.</li>



<li><a href="https://www.globalforestwatch.org/map/?map=eyJkYXRhc2V0cyI6W3siZGF0YXNldCI6InBvbGl0aWNhbC1ib3VuZGFyaWVzIiwibGF5ZXJzIjpbImRpc3B1dGVkLXBvbGl0aWNhbC1ib3VuZGFyaWVzIiwicG9saXRpY2FsLWJvdW5kYXJpZXMiXSwiYm91bmRhcnkiOnRydWUsIm9wYWNpdHkiOjEsInZpc2liaWxpdHkiOnRydWV9XX0%3D&amp;mapMenu=eyJtZW51U2VjdGlvbiI6InNlYXJjaCJ9&amp;utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate">Search for the area</a> or navigate to it.</li>



<li>Click on the area, select “analyze,” and then select “save in MyGFW.”</li>



<li>Customize the saved area by selecting a name, tags, alert notifications and more, and then click “save.”</li>
</ol>



<p>You will then continue to receive alert notification emails for this area.</p>



<h3 class="wp-block-heading">Embeds and URLs</h3>



<p>Embeds of and links to countries, regions and subregions on the dashboard and map may now show or link to new areas. This is due to the GADM identification code changing between versions.</p>



<p>If you are using an embed that shows a political boundary, we recommend checking that it still shows the area you originally chose; if the area’s identifier changed, the embed may show an entirely new area.</p>



<h4 class="wp-block-heading">Example from Ghana where the embed shows a new area due to the area identifier changing</h4>



<iframe width="670" height="490" frameborder="0" src="https://www.globalforestwatch.org/embed/map/?mainMap=eyJzaG93QW5hbHlzaXMiOnRydWV9&map=eyJjZW50ZXIiOnsibGF0Ijo2LjkxNjA4ODMwOTEyNDQ2MiwibG5nIjotMC4zOTI1OTAxODgxNzM3Mzk5fSwiem9vbSI6OC42ODQxODM4MTA0ODgzNTMsImNhbkJvdW5kIjpmYWxzZSwiZGF0YXNldHMiOlt7ImRhdGFzZXQiOiJwb2xpdGljYWwtYm91bmRhcmllcyIsImxheWVycyI6WyJkaXNwdXRlZC1wb2xpdGljYWwtYm91bmRhcmllcyIsInBvbGl0aWNhbC1ib3VuZGFyaWVzIl0sImJvdW5kYXJ5Ijp0cnVlLCJvcGFjaXR5IjoxLCJ2aXNpYmlsaXR5Ijp0cnVlfV19&mapMenu=eyJzZWFyY2giOiJzZW5lLCBnaGFuYSJ9&mapPrompts=eyJvcGVuIjp0cnVlLCJzdGVwc0tleSI6InJlY2VudEltYWdlcnkifQ%3D%3D"></iframe>



<p>If you saved a URL that links to a political boundary, we also recommend checking that the URL still shows the desired area of interest. If it does not, follow <a href="https://www.globalforestwatch.org/help/map/guides/how-to-use-map-dashboards/">these instructions</a> on how you can search for an area on the map and dashboards.</p>



<h2 class="wp-block-heading">Where can I ask questions and get help?</h2>



<p>The GFW team aims to provide the latest forest monitoring updates for users and support your use of the GFW platform, and we highly value your feedback. If you have feedback on these changes or need help, please contact us at <a href="mailto:gfw@wri.org">gfw@wri.org.</a></p>



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Global Forest Watch Has Updated Political Boundaries — Here's What You Should Know

<p>Global Forest Watch (GFW) est constamment mis à jour pour refléter l les données forestières les plus récentes et les plus précises.  Pour ce faire, nous avons mis à jour les frontières politiques disponibles sur GFW en intégrant la dernière version de la base de données GADM (Database of Global Administrative Areas), une source ouverte de données sur les limites administratives. Cette mise à jour permet à la carte, aux statistiques et aux analyses de GFW de s’appuyer sur des informations plus récentes et plus fiables.&nbsp;&nbsp;</p>



<p>Avec cette mise à jour, vous pouvez observer certains changements qu'il est important de connaître, notamment des changements dans les noms des zones politiques, les frontières des pays, des régions et des sous-régions, la fonctionnalité des cartes autour des zones contestées, les informations contenues dans les courriels sur les changements forestiers et les alertes aux incendies, ainsi que les statistiques des ensembles de données.&nbsp;&nbsp;</p>



<p>Ce blog présente chacun de ces changements - lisez la suite pour en savoir plus.&nbsp;</p>



<h2 class="wp-block-heading">Qu'est-ce qui change et qui est concerné par ces changements ?&nbsp;</h2>



<p>Depuis de nombreuses années, le GFW utilise les <a href="https://gadm.org/" target="_blank" rel="noreferrer noopener">limites du GADM </a>comme frontières politiques pour les analyses des données géospatiales hébergées sur le GFW. Lorsqu'un utilisateur effectue une analyse d'une frontière politique sur la carte ou consulte les statistiques d'un pays sur les tableaux de bord, il voit les statistiques d'une frontière GADM.&nbsp;</p>



<p>Dans cette récente mise à jour, nous sommes passés de la version 3.6 à la version 4.1 du GADM afin de fournir des informations plus récentes et plus précises, y compris des zones renommées, des ajustements aux frontières politiques et plus encore.&nbsp;&nbsp;</p>



<p>Notez toutefois qu'il existe plusieurs sources de frontières politiques. Vous pouvez <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/" target="_blank" rel="noreferrer noopener">consulter les instructions dans notre Centre d'aide sur </a>la façon de télécharger des fichiers de forme (shapefiles) d'une autre frontière de pays, de région ou de sous-région.&nbsp;</p>



<p>Au moment de la publication de cet article, ce changement ne concerne que le site principal, la carte et les tableaux de bord de GFW. GFW Pro mettra également à jour ses frontières politiques prochainement.&nbsp;</p>



<h2 class="wp-block-heading">Quelles sont les zones concernées par cette mise à jour ?&nbsp;</h2>



<p>Cette mise à jour comprend des modifications de frontières à différents niveaux à travers le monde. Le GADM qualifie ces différents niveaux d'unités administratives" et les décompose comme suit : "admin 0" désigne le niveau du pays, "admin 1" désigne le niveau de l'État ou de la province, et "admin 2" désigne le niveau du comté ou du district.&nbsp;&nbsp;</p>



<h3 class="wp-block-heading">Frontières des pays&nbsp;</h3>



<p>Il n'y a pas de changelog officiel disponible auprès du GADM pour cette mise à jour, mais notre équipe a identifié plusieurs changements dans les frontières des pays. Nous avons constaté des différences minimes mais notables dans les frontières d'environ 10 pays : Chili, Chine, Colombie, Costa Rica, Djibouti, Arabie Saoudite, Somalie, Togo et Uruguay.&nbsp;&nbsp;</p>



<h3 class="wp-block-heading">Frontières infranationales&nbsp;</h3>



<p>Notre analyse a également permis de mettre à jour plusieurs frontières infranationales.&nbsp;&nbsp;</p>



<p>Ajout ou suppression de plusieurs pays (admin 2 areas):&nbsp;&nbsp;</p>



<table>
    <tr>
        <td>Pays</td>
        <td>Nombre de régions dans le GADM 3.6</td>
        <td>Nombre de régions dans le GADM 4.1</td>
        <td>Changement </td>
    </tr>
    <tr>
        <td>Colombie</td>
        <td>1065</td>
        <td>1119</td>
        <td>+54 </td>
    </tr>
    <tr>
        <td>Togo</td>
        <td>21</td>
        <td>40</td>
        <td>+19 </td>
    </tr>
    <tr>
        <td>Djibouti</td>
        <td>11</td>
        <td>21</td>
        <td>+10 </td>
    </tr>
    <tr>
        <td>Brunei</td>
        <td>32</td>
        <td>39</td>
        <td>+7 </td>
    </tr>
    <tr>
        <td>Samoa américaines</td>
        <td>16</td>
        <td>17</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Bénin</td>
        <td>76</td>
        <td>77</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Chili</td>
        <td>54</td>
        <td>55</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Costa Rica</td>
        <td>81</td>
        <td>82</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Australie</td>
        <td>569</td>
        <td>568</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Kenya</td>
        <td>301</td>
        <td>300</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Ukraine</td>
        <td>629</td>
        <td>628</td>
        <td>-1 </td>
   </tr>
    <tr>
        <td>Yémen</td>
        <td>333</td>
        <td>332</td>
        <td>-1 </td>
   </tr>
    <tr>
        <td>Macao</td>
        <td>8</td>
        <td>2</td>
        <td>-6 </td>
   </tr>
    <tr>
        <td>Uruguay</td>
        <td>204</td>
        <td>141</td>
        <td>-63 </td>
   </tr>
    <tr>
        <td>Pays-Bas</td>
        <td>491</td>
        <td>355</td>
        <td>-136 </td>
    </tr>
</table>



<p></p>



<p>Au niveau infranational, nous avons constaté quelques changements de noms, de codes d'identification et/ou de frontières, notamment en Afrique de l'Ouest et du Sud, en Amérique centrale, en Amérique du Sud, en Europe et en Asie du Sud-Est. Les zones jaunes de la carte ci-dessous montrent les zones admin 2 mises à jour qui ont été modifiées.</p>



<figure class="wp-block-image size-full"><img src="https://content.globalforestwatch.org/wp-content/uploads/2025/07/gadm_changes_fr.png" alt="" class="wp-image-19342"/></figure>



<h3 class="wp-block-heading">Frontières contestées&nbsp;</h3>



<p>Un changement majeur dans cette mise à jour est que certaines frontières politiquement contestées ne sont plus incluses dans aucune analyse nationale ou sous-nationale (notez que le GADM n'inclut pas toutes les frontières contestées dans ses données).&nbsp;</p>



<p>Avec cette mise à jour, les zones litigieuses ne sont incluses que dans l'analyse globale disponible sur les tableaux de bord. En effet, la version précédente du GADM (3.6) ne délimitait pas les frontières contestées, alors que le GADM 4.1 le fait : dans la version 4.1, les zones contestées sont séparées des zones administratives adjacentes et ont leurs propres codes d'identification. Cela signifie que les analyses par pays du GFW n'incluront plus aucune zone identifiée par le GADM comme étant politiquement contestée.&nbsp;</p>



<p>Par exemple, la région contestée du Cachemire entre la Chine, le Pakistan et l'Inde est désormais délimitée dans la version 4.1&nbsp;</p>



<div class="flourish-embed flourish-photo-slider" data-src="visualisation/24291339?163031"><script src="https://public.flourish.studio/resources/embed.js"></script><noscript><img src="https://public.flourish.studio/visualisation/24291339/thumbnail" width="100%" alt="photo-slider visualization" /></noscript></div>



<h2 class="wp-block-heading">Quel sera l'impact de cette mise à jour sur les données et les statistiques de GFW ?&nbsp;</h2>



<h3 class="wp-block-heading">Analyses&nbsp;</h3>



<p>Avec cette mise à jour, toute modification des limites des zones entraînera des changements dans les statistiques et les résultats des analyses. Si vous souhaitez comparer la version précédente et la nouvelle version de votre zone d'administration, nous vous recommandons de télécharger la version 3.6 pour la zone choisie via le <a href="https://gadm.org/old_versions.html" target="_blank" rel="noreferrer noopener">site GADM </a>et de la comparer à la même zone sur la carte ou le tableau de bord GFW. Veuillez consulter <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/" target="_blank" rel="noreferrer noopener">cet article dans notre Centre d'aide </a>pour savoir comment télécharger des fichiers de forme.&nbsp;</p>



<p>À titre d'exemple de ce type de changement, Kalimantan, en Indonésie, compte désormais cinq provinces au lieu de quatre : Kalimantan Timur (Kalimantan Est) a été divisé en deux régions - <a href="https://www.globalforestwatch.org/dashboards/country/IDN/34/?location=WyJjb3VudHJ5IiwiSUROIiwiMzQiXQ%3D%3D&amp;map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D" target="_blank" rel="noreferrer noopener">Kalimantan Timur </a>et <a href="https://www.globalforestwatch.org/dashboards/country/IDN/35/?map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D" target="_blank" rel="noreferrer noopener">Kalimantan Utara (Kalimantan Nord)</a>.&nbsp;</p>



<h3 class="wp-block-heading">Abonnements aux alertes et zones sauvegardées dans les comptes MyGFW&nbsp;</h3>



<p>Les utilisateurs ne recevront plus d'e-mails d'abonnement aux alertes pour les pays, régions ou sous-régions enregistrés dans leur compte MyGFW avant le 29 avril 2025.&nbsp;</p>



<p>Pour faciliter cette transition, nous avons automatiquement mis à jour les frontières politiques des pays, régions et sous-régions enregistrés qui ont conservé le même nom entre les versions 3.6 et 4.1 du GADM. Les utilisateurs&nbsp; concernés recevront un courriel les informant de ce changement&nbsp;</p>



<p>Toutefois, si vous n'avez pas reçu d'e-mail de notre part ou si vous avez sauvegardé plusieurs frontières politiques, nous vous recommandons de sauvegarder à nouveau les domaines d'intérêt pertinents dans votre compte MyGFW:&nbsp;</p>



<ol type="1" start="1">
<li>Accédez à <a href="https://www.globalforestwatch.org/my-gfw/?utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate" target="_blank" rel="noreferrer noopener">votre compte MyGFW </a>et recherchez les zones marquées d'une étiquette "zone obsolète, notifications interrompues".&nbsp;</li>



<li>Une fois que vous avez noté le pays, la région ou la sous-région qui ne reçoit plus d'e-mails d'alerte, rendez-vous sur&nbsp;&nbsp;</li>



<li><a href="https://www.globalforestwatch.org/map/?map=eyJkYXRhc2V0cyI6W3siZGF0YXNldCI6InBvbGl0aWNhbC1ib3VuZGFyaWVzIiwibGF5ZXJzIjpbImRpc3B1dGVkLXBvbGl0aWNhbC1ib3VuZGFyaWVzIiwicG9saXRpY2FsLWJvdW5kYXJpZXMiXSwiYm91bmRhcnkiOnRydWUsIm9wYWNpdHkiOjEsInZpc2liaWxpdHkiOnRydWV9XX0%3D&amp;mapMenu=eyJtZW51U2VjdGlvbiI6InNlYXJjaCJ9&amp;utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate" target="_blank" rel="noreferrer noopener">Recherchez la zone </a>ou naviguez jusqu'à elle.&nbsp;</li>



<li>Cliquez sur la zone, sélectionnez "analyser", puis "enregistrer dans MyGFW".&nbsp;&nbsp;</li>



<li>Personnalisez la zone sauvegardée en choisissant un nom, des balises, des notifications d'alerte et bien plus encore, puis cliquez sur "Enregistrer".&nbsp;&nbsp;</li>
</ol>



<p>Vous continuerez alors à recevoir des courriels de notification d'alerte pour ce domaine. &nbsp;</p>



<h3 class="wp-block-heading">Intégrations Embeds et URL&nbsp;&nbsp;</h3>



<p>Les liens vers les pays, régions et sous-régions sur le tableau de bord et la carte peuvent désormais afficher de nouvelles zones ou renvoyer à de nouvelles zones. Cela est dû au fait que le code d'identification du GADM change d'une version à l'autre.&nbsp;&nbsp;</p>



<p>Si vous utilisez un contenu incorporé qui montre une frontière politique, nous vous recommandons de vérifier qu'il montre toujours la zone que vous avez choisie à l'origine ; si l'identifiant de la zone a changé, l'élément incorporé peut montrer une zone entièrement nouvelle.&nbsp;&nbsp;</p>



<h4 class="wp-block-heading"><strong><em>Exemple du Ghana où l'incorporation montre une nouvelle zone en raison du changement de l'identifiant de la zone</em></strong>&nbsp;</h4>



<iframe width="670" height="490" frameborder="0" src="https://www.globalforestwatch.org/embed/map/?mainMap=eyJzaG93QW5hbHlzaXMiOnRydWV9&map=eyJjZW50ZXIiOnsibGF0Ijo2LjkxNjA4ODMwOTEyNDQ2MiwibG5nIjotMC4zOTI1OTAxODgxNzM3Mzk5fSwiem9vbSI6OC42ODQxODM4MTA0ODgzNTMsImNhbkJvdW5kIjpmYWxzZSwiZGF0YXNldHMiOlt7ImRhdGFzZXQiOiJwb2xpdGljYWwtYm91bmRhcmllcyIsImxheWVycyI6WyJkaXNwdXRlZC1wb2xpdGljYWwtYm91bmRhcmllcyIsInBvbGl0aWNhbC1ib3VuZGFyaWVzIl0sImJvdW5kYXJ5Ijp0cnVlLCJvcGFjaXR5IjoxLCJ2aXNpYmlsaXR5Ijp0cnVlfV19&mapMenu=eyJzZWFyY2giOiJzZW5lLCBnaGFuYSJ9&mapPrompts=eyJvcGVuIjp0cnVlLCJzdGVwc0tleSI6InJlY2VudEltYWdlcnkifQ%3D%3D"></iframe>



<p>Si vous avez enregistré une URL qui renvoie à une frontière politique, nous vous recommandons également de vérifier que l'URL indique toujours la zone d'intérêt souhaitée. Si ce n'est pas le cas, suivez <a href="https://www.globalforestwatch.org/help/map/guides/how-to-use-map-dashboards/" target="_blank" rel="noreferrer noopener">les instructions suivantes </a>pour rechercher une zone sur la carte et les tableaux de bord.&nbsp;</p>



<h2 class="wp-block-heading">Où puis-je poser des questions et obtenir de l'aide ?&nbsp;</h2>



<p>L'équipe GFW a pour objectif de fournir aux utilisateurs les dernières mises à jour en matière de surveillance des forêts et de les aider à utiliser la plateforme GFW, et nous apprécions grandement vos commentaires. Si vous avez des commentaires sur ces changements ou si vous avez besoin d'aide, veuillez nous contacter à l'adresse&nbsp;<a href="mailto:gfw@wri.org">gfw@wri.org</a>. </p>



<style type="text/css"></style>

Global Forest Watch a mis à jour les frontières politiques - Voici ce que vous devez savoir 

<p>Global Forest Watch (GFW) terus diperbarui untuk mencerminkan data terkini dan paling akurat terkait hutan. Untuk itu, kami telah memperbarui batas wilayah administratif yang tersedia di GFW menggunakan versi terbaru dari Database of Global Administrative Areas (GADM), yaitu&nbsp; kumpulan data batas wilayah administratif yang bersifat terbuka. Pembaruan ini memastikan bahwa peta, statistik, dan analisis di GFW menggunakan informasi terbaru dan paling akurat.&nbsp;&nbsp;</p>



<p>Dengan pembaruan ini, Anda mungkin akan melihat beberapa perubahan yang penting untuk diketahui, termasuk perubahan pada nama wilayah administratif; batas negara, provinsi, dan kabupaten/kota; fungsi peta di wilayah sengketa; informasi dalam email peringatan perubahan hutan dan&nbsp; kebakaran; serta statistik kumpulan data.&nbsp;&nbsp;</p>



<p>Blog ini akan membahas masing-masing perubahan tersebut – simak selengkapnya di bawah ini.&nbsp;</p>



<h2 class="wp-block-heading">Apa yang berubah dan siapa saja yang terdampak?&nbsp;</h2>



<p>Selama bertahun-tahun, GFW telah menggunakan <a href="https://gadm.org/" target="_blank" rel="noreferrer noopener">batas-batas GADM </a>sebagai batas administratif untuk analisis data geospasial yang ada di GFW. Ketika pengguna melakukan analisis terhadap batas administratif pada peta atau melihat statistik untuk sebuah negara pada dasbor, mereka melihat statistik untuk batas GADM.&nbsp;</p>



<p>Dalam pembaruan terbaru ini, kami beralih dari GADM versi 3.6 ke versi 4.1 untuk menyajikan informasi yang terbaru dan lebih akurat, termasuk perubahan nama wilayah, penyesuaian batas administratif, dan lainnya.&nbsp;&nbsp;</p>



<p>Namun perlu dicatat bahwa terdapat berbagai sumber data batas administratif yang tersedia. Anda dapat <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/" target="_blank" rel="noreferrer noopener">melihat petunjuk di Pusat Bantuan kami </a>mengenai cara mengunggah file shapefile&nbsp; batas wilayah alternatif untuk suatu negara, provinsi, atau kabupaten/kota.&nbsp;</p>



<p>Pada saat blog ini diterbitkan, perubahan ini hanya berlaku untuk situs utama GFW, termasuk peta dan dasbor. GFW Pro juga akan segera memperbarui batas wilayah administratifnya dalam waktu dekat.&nbsp;</p>



<h2 class="wp-block-heading">Wilayah mana saja yang terdampak oleh pembaruan ini?&nbsp;</h2>



<p>Pembaruan ini mencakup perubahan batas wilayah di berbagai belahan&nbsp; dunia, pada berbagai tingkat administrasi. Dalam GADM, tingkatan ini disebut sebagai ‘unit administratif’, dengan rincian&nbsp; sebagai berikut: "admin 0" merujuk pada tingkat negara, "admin 1" untuk&nbsp;tingkat provinsi atau negara bagian, dan "admin 2" untuk&nbsp; tingkat kabupaten/kota.&nbsp;&nbsp;</p>



<h3 class="wp-block-heading">Batas negara&nbsp;</h3>



<p>Tidak ada catatan perubahan resmi yang disediakan oleh GADM untuk pembaruan ini, tetapi tim kami telah mengidentifikasi beberapa perubahan pada batas-batas negara. Kami menemukan perbedaan kecil namun signifikan pada batas wilayah sekitar 10 negara: Chili, Cina, Kolombia, Kosta Rika, Djibouti, Arab Saudi, Somalia, Togo, dan Uruguay.&nbsp;&nbsp;</p>



<h3 class="wp-block-heading">Batas wilayah subnasional&nbsp;</h3>



<p>Analisis kami juga menemukan sejumlah pembaruan pada batas wilayah subnasional.&nbsp;&nbsp;</p>



<p>Beberapa negara menambahkan atau menghapus wilayah (wilayah admin 2):&nbsp;&nbsp;</p>



<table>
    <tr>
        <td>Negara</td>
        <td>Jumlah wilayah dalam GADM 3.6</td>
        <td>Jumlah wilayah dalam GADM 4.1</td>
        <td>Perubahan</td>
    </tr>
    <tr>
        <td>Kolombia</td>
        <td>1065</td>
        <td>1119</td>
        <td>+54 </td>
    </tr>
    <tr>
        <td>Togo</td>
        <td>21</td>
        <td>40</td>
        <td>+19 </td>
    </tr>
    <tr>
        <td>Djibouti</td>
        <td>11</td>
        <td>21</td>
        <td>+10 </td>
    </tr>
    <tr>
        <td>Brunei</td>
        <td>32</td>
        <td>39</td>
        <td>+7 </td>
    </tr>
    <tr>
        <td>Samoa Amerika</td>
        <td>16</td>
        <td>17</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Benin</td>
        <td>76</td>
        <td>77</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Chili</td>
        <td>54</td>
        <td>55</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Kosta Rika</td>
        <td>81</td>
        <td>82</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Australia</td>
        <td>569</td>
        <td>568</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Kenya</td>
        <td>301</td>
        <td>300</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Ukraina</td>
        <td>629</td>
        <td>628</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Yaman</td>
        <td>333</td>
        <td>332</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Macao</td>
        <td>8</td>
        <td>2</td>
        <td>-6 </td>
    </tr>
    <tr>
        <td>Uruguay </td>
        <td>204</td>
        <td>141</td>
        <td>-63 </td>
    </tr>
    <tr>
        <td>Belanda</td>
        <td>491</td>
        <td>355</td>
        <td>-136 </td>
    </tr>
</table>



<p></p>



<p>Di tingkat subnasional, kami mencatat beberapa perubahan nama, kode identifikasi dan/atau perbatasan, terutama di Afrika Barat dan Selatan, Amerika Tengah, Amerika Selatan, Eropa, dan Asia Tenggara. Area yang berwarna kuning pada peta di bawah ini menunjukkan area admin 2 yang berubah:&nbsp;&nbsp;&nbsp;&nbsp;</p>



<figure class="wp-block-image size-full"><img src="https://content.globalforestwatch.org/wp-content/uploads/2025/07/gadm_changes_id.png" alt="" class="wp-image-19345"/></figure>



<h3 class="wp-block-heading">Wilayah Sengketa&nbsp;</h3>



<p>Salah satu perubahan utama dalam pembaruan ini adalah beberapa wilayah sengketa secara politik tidak lagi dimasukan dalam analisis negara atau wilayah administratif manapun (perlu dicatat bahwa GADM tidak menyertakan semua wilayah sengketa dalam data mereka).&nbsp;</p>



<p>Dengan pembaruan ini, wilayah sengketa hanya akan muncul dalam analisis tingkat global yang tersedia di dasbor. Hal ini dikarenakan versi GADM sebelumnya (3.6) tidak menggambarkan batas-batas wilayah sengketa, sementara GADM 4.1 melakukannya: di versi 4.1, wilayah-wilayah ini dipisahkan dari wilayah unit administratif di sekitarnya dan memiliki kode identifikasinya sendiri. Hal ini berarti bahwa analisis tingkat negara di GFW kini tidak lagi menyertakan wilayah-wilayah yang diidentifikasi&nbsp; GADM sebagai wilayah sengketa.&nbsp;</p>



<p>Sebagai contoh, wilayah sengketa Kashmir antara Cina, Pakistan dan India kini telah digambarkan secara terpisah dalam versi 4.1.</p>



<div class="flourish-embed flourish-photo-slider" data-src="visualisation/24291340?163031"><script src="https://public.flourish.studio/resources/embed.js"></script><noscript><img src="https://public.flourish.studio/visualisation/24291340/thumbnail" width="100%" alt="photo-slider visualization" /></noscript></div>



<h2 class="wp-block-heading">Bagaimana pembaruan ini akan memengaruhi data dan statistik GFW?&nbsp;</h2>



<h3 class="wp-block-heading">Analisis&nbsp;</h3>



<p>Dengan pembaruan ini, setiap perubahan batas wilayah akan menyebabkan perbedaan pada statistik dan hasil analisis. Jika Anda ingin membandingkan versi sebelumnya dan versi baru dari suatu wilayah administratif, kami menyarankan untuk mengunduh versi 3.6 dari wilayah tersebut melalui <a href="https://gadm.org/old_versions.html" target="_blank" rel="noreferrer noopener">situs GADM </a>lalu membandingkannya dengan versi yang ada di peta atau dasbor GFW. Silakan lihat <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/" target="_blank" rel="noreferrer noopener">artikel ini di Pusat Bantuan kami </a>untuk panduan tentang cara mengunggah shapefile.&nbsp;&nbsp;</p>



<p>Sebagai contoh dari perubahan jenis ini, sekarang ada lima provinsi di Kalimantan, Indonesia, bukan empat: Provinsi Kalimantan Timur telah dimekarkan menjadi&nbsp; telah&nbsp; <a href="https://www.globalforestwatch.org/dashboards/country/IDN/34/?location=WyJjb3VudHJ5IiwiSUROIiwiMzQiXQ%3D%3D&amp;map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D" target="_blank" rel="noreferrer noopener">Kalimantan Timur </a>dan <a href="https://www.globalforestwatch.org/dashboards/country/IDN/35/?map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D" target="_blank" rel="noreferrer noopener">Kalimantan Utara.</a>&nbsp;</p>



<h3 class="wp-block-heading">Langganan peringatan dan wilayah yang disimpan di akun MyGFW&nbsp;</h3>



<p>Pengguna tidak akan lagi menerima email langganan peringatan untuk negara, provinsi, atau kabupaten/kota yang telah disimpan di akun MyGFW&nbsp; sebelum tanggal 29 April 2025.&nbsp;&nbsp;</p>



<p>Untuk memudahkan transisi ini, kami&nbsp; telah memperbarui batas wilayah administrasi secara otomatis untuk wilayah yang namanya tidak berubah&nbsp; antara GADM versi 3.6 dan 4.1. Pengguna yang wilayahnya diperbarui secara otomatis akan menerima email pemberitahuan mengenai&nbsp; perubahan ini.&nbsp;&nbsp;</p>



<p>Namun, jika Anda tidak menerima email dari kami atau memiliki beberapa wilayah administrasi yang disimpan, kami menyarankan untuk&nbsp; menyimpan ulang wilayah yang relevan di akun MyGFW Anda:&nbsp;&nbsp;</p>



<ol type="1" start="1">
<li>Masuk ke <a href="https://www.globalforestwatch.org/my-gfw/?utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate" target="_blank" rel="noreferrer noopener">akun MyGFW </a>Anda dan cari wilayah yang diberi label&nbsp; "wilayah kedaluwarsa, notifikasi dihentikan sementara".&nbsp;</li>



<li>Catat nama negara, provinsi, atau kabupaten/kota&nbsp; yang tidak lagi menerima email peringatan.&nbsp;</li>



<li>Buka www.globalforestwatch.org/map.&nbsp;&nbsp;</li>



<li><a href="https://www.globalforestwatch.org/map/?map=eyJkYXRhc2V0cyI6W3siZGF0YXNldCI6InBvbGl0aWNhbC1ib3VuZGFyaWVzIiwibGF5ZXJzIjpbImRpc3B1dGVkLXBvbGl0aWNhbC1ib3VuZGFyaWVzIiwicG9saXRpY2FsLWJvdW5kYXJpZXMiXSwiYm91bmRhcnkiOnRydWUsIm9wYWNpdHkiOjEsInZpc2liaWxpdHkiOnRydWV9XX0%3D&amp;mapMenu=eyJtZW51U2VjdGlvbiI6InNlYXJjaCJ9&amp;utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate" target="_blank" rel="noreferrer noopener">Cari area area tersebut.</a>atau navigasikan ke&nbsp;&nbsp;</li>



<li>Klik pada area tersebut, pilih "analisis," kemudian pilih "simpan di MyGFW."&nbsp;&nbsp;</li>



<li>Sesuaikan wilayah yang disimpan dengan memilih nama, label, notifikasi peringatan, dan lainnya, lalu klik "simpan."&nbsp;&nbsp;</li>
</ol>



<p>Setelah itu, Anda&nbsp;akan kembali menerima email pemberitahuan peringatan untuk wilayah tersebut.</p>



<h3 class="wp-block-heading">Tautan sematan dan URL&nbsp;&nbsp;</h3>



<p>Sematan (embed) dan tautan menuju negara, provinsi, dan kabupaten/kota di dasbor dan peta kini dapat menampilkan wilayah yang berbeda. Hal ini terjadi karena kode identifikasi GADM yang berubah antara versi.&nbsp;&nbsp;</p>



<p>Jika Anda menggunakan embed yang menampilkan batas wilayah administratif, kami menyarakan untuk memeriksa kembali apakah embed tersebut masih menunjukkan area yang Anda pilih sebelumnya; jika pengenal area tersebut berubah, embed tersebut mungkin menunjukkan area yang sama sekali baru.&nbsp;&nbsp;</p>



<h4 class="wp-block-heading"><strong><em>Contoh dari Ghana di mana embed menunjukkan area baru karena pengenal area berubah</em></strong>&nbsp;</h4>



<iframe width="670" height="490" frameborder="0" src="https://www.globalforestwatch.org/embed/map/?mainMap=eyJzaG93QW5hbHlzaXMiOnRydWV9&map=eyJjZW50ZXIiOnsibGF0Ijo2LjkxNjA4ODMwOTEyNDQ2MiwibG5nIjotMC4zOTI1OTAxODgxNzM3Mzk5fSwiem9vbSI6OC42ODQxODM4MTA0ODgzNTMsImNhbkJvdW5kIjpmYWxzZSwiZGF0YXNldHMiOlt7ImRhdGFzZXQiOiJwb2xpdGljYWwtYm91bmRhcmllcyIsImxheWVycyI6WyJkaXNwdXRlZC1wb2xpdGljYWwtYm91bmRhcmllcyIsInBvbGl0aWNhbC1ib3VuZGFyaWVzIl0sImJvdW5kYXJ5Ijp0cnVlLCJvcGFjaXR5IjoxLCJ2aXNpYmlsaXR5Ijp0cnVlfV19&mapMenu=eyJzZWFyY2giOiJzZW5lLCBnaGFuYSJ9&mapPrompts=eyJvcGVuIjp0cnVlLCJzdGVwc0tleSI6InJlY2VudEltYWdlcnkifQ%3D%3D"></iframe>



<p>Jika Anda menyimpan URL yang tertaut ke batas wilayah administratif, kami juga menyarankan untuk memeriksa apakah URL tersebut masih menunjukkan area yang diinginkan. Jika tidak, ikuti <a href="https://www.globalforestwatch.org/help/map/guides/how-to-use-map-dashboards/" target="_blank" rel="noreferrer noopener">petunjuk berikut ini </a>tentang bagaimana Anda dapat mencari area di peta dan dasbor.&nbsp;</p>



<h2 class="wp-block-heading">Di mana saya bisa mengajukan pertanyaan dan mendapatkan bantuan?&nbsp;</h2>



<p>Tim GFW berkomitmen untuk terus menyediakan informasi terbaru mengenai pemantauan hutan bagi para pengguna dan mendukung penggunaan platform GFW. Kami sangat menghargai masukan Anda. Jika Anda memiliki pertanyaan atau butuh bantuan terkait perubahan ini, silakan hubungi kami <a href="mailto:gfw@wri.org">gfw@wri.org</a>.</p>



<style type="text/css"></style>

Global Forest Watch Telah Memperbarui Batas Wilayah Administratif- Berikut yang Perlu Anda Ketahui 

<p>Global Forest Watch (GFW) se actualiza constantemente para reflejar los datos más recientes y precisos relacionados con los bosques. Para ello, hemos actualizado los límites políticos disponibles en GFW a la versión más reciente de la Base de Datos de Áreas Administrativas Mundiales (GADM), un conjunto de datos de límites políticos de código abierto. Esta actualización garantiza que el mapa, las estadísticas y los análisis de GFW utilicen la información más reciente y precisa.&nbsp;&nbsp;</p>



<p>Con esta actualización, es posible que observe algunos cambios que es importante conocer, como los cambios en los nombres de las zonas políticas; los límites de los países, regiones y subregiones; la funcionalidad de los mapas en torno a las zonas en disputa; la información por correo electrónico sobre cambios forestales y alertas de incendios; y las estadísticas de los conjuntos de datos.&nbsp;&nbsp;</p>



<p>Este blog repasará cada uno de estos cambios. Siga leyendo para saber más.&nbsp;</p>



<h2 class="wp-block-heading">¿Qué está cambiando y a quién afectan estos cambios?&nbsp;</h2>



<p>Durante muchos años, GFW ha utilizado las <a href="https://gadm.org/" target="_blank" rel="noreferrer noopener">fronteras GADM </a>como fronteras políticas para los análisis de los datos geoespaciales alojados en GFW. Cuando un usuario realiza un análisis de una frontera política en el mapa o consulta las estadísticas de un país en el panel, está viendo las estadísticas de una frontera GADM.&nbsp;</p>



<p>En esta reciente actualización, hemos pasado de la versión 3.6 de GADM a la versión 4.1 para ofrecer información más nueva y precisa, incluidas zonas con nuevos nombres, ajustes de las fronteras políticas y mucho más.&nbsp;&nbsp;</p>



<p>No obstante, tenga en cuenta que existen varias fuentes de límites políticos. <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/" target="_blank" rel="noreferrer noopener">Puede consultar las instrucciones en nuestro Centro de Ayuda sobre </a>cómo cargar archivos shape de los límites alternativos de un país, región o subregión.&nbsp;</p>



<p>En el momento de la publicación de este artículo, este cambio sólo afecta al sitio principal de GFW, al mapa y a los paneles. GFW Pro también actualizará sus límites políticos pronto.&nbsp;</p>



<h2 class="wp-block-heading">¿A qué zonas afecta esta actualización?&nbsp;</h2>



<p>Esta actualización incluye cambios en las fronteras de todo el mundo a diferentes niveles. GADM denomina a estos niveles "unidades administrativas" y los desglosa de la siguiente manera: "admin 0" se refiere al nivel de país, "admin 1" al de estado/provincia y "admin 2" al de condado/distrito.&nbsp;&nbsp;</p>



<h3 class="wp-block-heading">Límites nacionales&nbsp;</h3>



<p>GADM no dispone de un registro oficial de cambios para esta actualización, pero nuestro equipo ha detectado varios cambios en las fronteras de los países. Hemos observado pequeñas pero notables diferencias en las fronteras de unos 10 países: Chile, China, Colombia, Costa Rica, Yibuti, Arabia Saudita, Somalia, Togo y Uruguay.&nbsp;&nbsp;</p>



<h3 class="wp-block-heading">Límites subnacionales&nbsp;</h3>



<p>Nuestro análisis también reveló actualizaciones en varios límites subnacionales.&nbsp;&nbsp;</p>



<p>Múltiples países añadidos o eliminados regiones (áreas “admin 2”):&nbsp;&nbsp;</p>



<table>
    <tr>
        <td>Países</td>
        <td>Número de regiones en GADM 3.6</td>
        <td>Número de regiones en GADM 4.1</td>
        <td>Cambia </td>
    </tr>
    <tr>
        <td>Colombia</td>
        <td>1065</td>
        <td>1119</td>
        <td>+54 </td>
    </tr>
    <tr>
        <td>Togo</td>
        <td>21</td>
        <td>40</td>
        <td>+19 </td>
    </tr>
    <tr>
        <td>Yibuti</td>
        <td>11</td>
        <td>21</td>
        <td>+10 </td>
    </tr>
    <tr>
        <td>Brunei</td>
        <td>32</td>
        <td>39</td>
        <td>+7 </td>
    </tr>
    <tr>
        <td>Samoa Americana</td>
        <td>16</td>
        <td>17</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Benin</td>
        <td>76</td>
        <td>77</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Chile</td>
        <td>54</td>
        <td>55</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Costa Rica</td>
        <td>81</td>
        <td>82</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Australia</td>
        <td>569</td>
        <td>568</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Kenia</td>
        <td>301</td>
        <td>300</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Ucrania</td>
        <td>629</td>
        <td>628</td>
        <td>-1 </td>
   </tr>
    <tr>
        <td>Yemen</td>
        <td>333</td>
        <td>332</td>
        <td>-1 </td>
   </tr>
    <tr>
        <td>Macao</td>
        <td>8</td>
        <td>2</td>
        <td>-6 </td>
   </tr>
    <tr>
        <td>Uruguay</td>
        <td>204</td>
        <td>141</td>
        <td>-63 </td>
   </tr>
    <tr>
        <td>Países Bajos</td>
        <td>491</td>
        <td>355</td>
        <td>-136 </td>
    </tr>
</table>



<p></p>



<p>A nivel subnacional, observamos algunos cambios en los nombres, códigos de identificación y/o fronteras, especialmente en África Occidental y Meridional, América Central, América del Sur, Europa y el Sudeste Asiático. Las zonas amarillas del mapa siguiente muestran las zonas “admin 2” actualizadas que se modificaron&nbsp;</p>



<figure class="wp-block-image size-full"><img src="https://content.globalforestwatch.org/wp-content/uploads/2025/07/gadm_changes_es.png" alt="" class="wp-image-19336"/></figure>



<h3 class="wp-block-heading">Límites controvertidos&nbsp;</h3>



<p>Un cambio importante en esta actualización es que algunas fronteras políticamente disputadas ya no se incluyen en ningún análisis nacional o subnacional (nótese que GADM no incluye todas las fronteras disputadas en sus datos).&nbsp;</p>



<p>Con esta actualización, las zonas en litigio sólo se incluyen en el análisis global disponible en los páneles. Esto se debe a que la versión anterior de GADM (3.6) no delimitaba las fronteras en disputa, pero GADM 4.1 sí lo hace: en la versión 4.1, las zonas en disputa están separadas de las zonas administrativas adyacentes y tienen sus propios códigos de identificación. Esto significa que los análisis de países de GFW ya no incluirán ninguna zona que GADM identifique como políticamente disputada.&nbsp;</p>



<p>Por ejemplo, la región de Cachemira, disputada entre China, Pakistán e India, está ahora delimitada en la versión 4.1&nbsp;</p>



<div class="flourish-embed flourish-photo-slider" data-src="visualisation/24291346?163031"><script src="https://public.flourish.studio/resources/embed.js"></script><noscript><img src="https://public.flourish.studio/visualisation/24291346/thumbnail" width="100%" alt="photo-slider visualization" /></noscript></div>



<h2 class="wp-block-heading">¿Cómo afectará esta actualización a los datos y estadísticas de GFW?&nbsp;</h2>



<h3 class="wp-block-heading">Análisis&nbsp;</h3>



<p>Con esta actualización, cualquier cambio en los límites del área provocará algunos cambios en las estadísticas y los resultados de los análisis. Si desea comparar la versión anterior y la nueva de su área de administración, le recomendamos que descargue la versión 3.6 para el área elegida a través del <a href="https://gadm.org/old_versions.html" target="_blank" rel="noreferrer noopener">sitio web de GADM </a>y la compare con la misma área en el mapa o el panel de control de GFW. Consulte <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/" target="_blank" rel="noreferrer noopener">este artículo de nuestro Centro de Ayuda </a>para obtener instrucciones sobre cómo cargar archivos shape.&nbsp;</p>



<p>Como ejemplo de este tipo de cambio, ahora hay cinco provincias en Kalimantan (Indonesia) en lugar de cuatro: <a href="https://www.globalforestwatch.org/dashboards/country/IDN/34/?location=WyJjb3VudHJ5IiwiSUROIiwiMzQiXQ%3D%3D&amp;map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D" target="_blank" rel="noreferrer noopener">Kalimantan Timur </a>(Kalimantan Oriental) se ha dividido en dos: Kalimantan Timur y <a href="https://www.globalforestwatch.org/dashboards/country/IDN/35/?map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D" target="_blank" rel="noreferrer noopener">Kalimantan Utara (Kalimantan Septentrional)</a>.&nbsp;</p>



<h3 class="wp-block-heading">Suscripciones de alerta y áreas guardadas en cuentas MyGFW&nbsp;</h3>



<p>Los usuarios dejarán de recibir correos electrónicos de suscripción a alertas para los países, regiones o subregiones guardados en su cuenta MyGFW antes del 29 de abril de 2025&nbsp;</p>



<p>Para que este cambio sea más cómodo, hemos actualizado automáticamente los límites políticos de los países, regiones y subregiones guardados que mantuvieron el mismo nombre entre las versiones 3.6 y 4.1 de GADM. Los usuarios cuyas áreas se actualizaron automáticamente recibirán un correo electrónico notificándoles este cambio.&nbsp;&nbsp;</p>



<p>No obstante, si no ha recibido un correo electrónico nuestro o tiene varios límites políticos guardados, le recomendamos que vuelva a guardar las áreas de interés pertinentes en su cuenta MyGFW:&nbsp;</p>



<ol type="1" start="1">
<li>Acceda a su <a href="https://www.globalforestwatch.org/my-gfw/?utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate" target="_blank" rel="noreferrer noopener">cuenta MyGFW </a>y busque las áreas marcadas con la etiqueta "área desactualizada, notificaciones en pausa".&nbsp;</li>



<li>Una vez que haya identificado el país, región o subregión que ya no recibe alertas por correo electrónico, vaya a <a href="https://www.globalforestwatch.org/map/?utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate" target="_blank" rel="noreferrer noopener">www.globalforestwatch.org/map</a>&nbsp;&nbsp;&nbsp;</li>



<li><a href="https://www.globalforestwatch.org/map/?map=eyJkYXRhc2V0cyI6W3siZGF0YXNldCI6InBvbGl0aWNhbC1ib3VuZGFyaWVzIiwibGF5ZXJzIjpbImRpc3B1dGVkLXBvbGl0aWNhbC1ib3VuZGFyaWVzIiwicG9saXRpY2FsLWJvdW5kYXJpZXMiXSwiYm91bmRhcnkiOnRydWUsIm9wYWNpdHkiOjEsInZpc2liaWxpdHkiOnRydWV9XX0%3D&amp;mapMenu=eyJtZW51U2VjdGlvbiI6InNlYXJjaCJ9&amp;utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate" target="_blank" rel="noreferrer noopener">Busca la zona </a>o navega hasta ella.&nbsp;</li>



<li>Haz clic en el área, selecciona "analizar" y luego "guardar en MyGFW".&nbsp;&nbsp;</li>



<li>Personaliza el área guardada seleccionando un nombre, etiquetas, notificaciones de alerta y mucho más, y luego haz clic en "Guardar".&nbsp;&nbsp;</li>
</ol>



<p>Con esto seguirá recibiendo correos electrónicos de notificación de alertas para esta área. &nbsp;</p>



<h3 class="wp-block-heading">Inserciones y URLs&nbsp;</h3>



<p>Las inserciones y enlaces a países, regiones y subregiones en el panel y el mapa pueden ahora mostrar o enlazar a nuevas áreas. Esto se debe a que el código de identificación GADM cambia entre versiones.&nbsp;&nbsp;</p>



<p>Si está utilizando una inseción (<em>embed</em>) que muestra un límite político, le recomendamos que compruebe que esta sigue mostrando la zona que eligió originalmente; si el identificador de la zona ha cambiado, la inserción puede mostrar una zona completamente nueva.&nbsp;&nbsp;</p>



<h4 class="wp-block-heading"><strong><em>Ejemplo de Ghana en el que la inserción muestra una nueva zona debido al cambio del identificador de zona</em></strong>&nbsp;</h4>



<iframe width="670" height="490" frameborder="0" src="https://www.globalforestwatch.org/embed/map/?mainMap=eyJzaG93QW5hbHlzaXMiOnRydWV9&map=eyJjZW50ZXIiOnsibGF0Ijo2LjkxNjA4ODMwOTEyNDQ2MiwibG5nIjotMC4zOTI1OTAxODgxNzM3Mzk5fSwiem9vbSI6OC42ODQxODM4MTA0ODgzNTMsImNhbkJvdW5kIjpmYWxzZSwiZGF0YXNldHMiOlt7ImRhdGFzZXQiOiJwb2xpdGljYWwtYm91bmRhcmllcyIsImxheWVycyI6WyJkaXNwdXRlZC1wb2xpdGljYWwtYm91bmRhcmllcyIsInBvbGl0aWNhbC1ib3VuZGFyaWVzIl0sImJvdW5kYXJ5Ijp0cnVlLCJvcGFjaXR5IjoxLCJ2aXNpYmlsaXR5Ijp0cnVlfV19&mapMenu=eyJzZWFyY2giOiJzZW5lLCBnaGFuYSJ9&mapPrompts=eyJvcGVuIjp0cnVlLCJzdGVwc0tleSI6InJlY2VudEltYWdlcnkifQ%3D%3D"></iframe>



<p>Si ha guardado una URL que enlaza con un límite político, también le recomendamos que compruebe que la URL sigue mostrando la zona de interés deseada. Si no es así, siga <a href="https://www.globalforestwatch.org/help/map/guides/how-to-use-map-dashboards/" target="_blank" rel="noreferrer noopener">estas instrucciones </a>sobre cómo puede buscar una zona en el mapa y los paneles.&nbsp;</p>



<h2 class="wp-block-heading">¿Dónde puedo hacer preguntas y obtener ayuda?&nbsp;</h2>



<p>El objetivo del equipo de GFW es proporcionar a los usuarios las últimas actualizaciones en materia de seguimiento forestal y apoyar su uso de la plataforma GFW, por lo que valoramos enormemente sus comentarios. Si tiene algún comentario sobre estos cambios o necesita ayuda, póngase en contacto con nosotros en <a href="mailto:gfw@wri.org" target="_blank" rel="noreferrer noopener">gfw@wri.org.</a></p>



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Global Forest Watch ha actualizado los límites políticos: esto es lo que debe saber 

<p>O Global Forest Watch (GFW) está sendo constantemente atualizado para refletir os dados mais recentes e precisos relacionados às florestas. Para isso, atualizamos as fronteiras políticas disponíveis no GFW para a versão mais recente do Database of Global Administrative Areas (GADM), um conjunto de dados de fronteiras políticas de código aberto. Essa atualização garante que o mapa, as estatísticas e as análises no GFW utilizem as informações mais recentes e precisas.&nbsp;&nbsp;</p>



<p>Com essa atualização, você poderá observar algumas alterações das quais é importante estar ciente, incluindo alterações nos nomes de áreas políticas, nos limites de países, regiões e sub-regiões, na funcionalidade do mapa em torno de áreas disputadas, nas informações dos e-mails de alerta de incêndio e de mudança de floresta e nas estatísticas do conjunto de dados.&nbsp;&nbsp;</p>



<p>Este blog abordará cada uma dessas mudanças - continue lendo para saber mais.&nbsp;</p>



<h2 class="wp-block-heading">O que está mudando e quem é afetado por essas mudanças?&nbsp;</h2>



<p>Por muitos anos, o GFW usou <a href="https://gadm.org/" target="_blank" rel="noreferrer noopener">os limites do GADM </a>como limites políticos para análises de dados geoespaciais hospedados no GFW. Quando um usuário realiza uma análise de um limite político no mapa ou visualiza estatísticas de um país nos painéis, ele está vendo estatísticas de um limite GADM.&nbsp;</p>



<p>Nessa atualização recente, passamos da versão 3.6 do GADM para a versão 4.1 para fornecer informações mais recentes e precisas, incluindo áreas renomeadas, ajustes nas fronteiras políticas e muito mais.&nbsp;&nbsp;</p>



<p>Observe, entretanto, que há várias fontes de limites políticos disponíveis. Você pode <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/" target="_blank" rel="noreferrer noopener">ver instruções em nossa Central de Ajuda </a>sobre como carregar shapefiles de um limite alternativo de país, região ou sub-região.&nbsp;</p>



<p>No momento da publicação deste artigo, essa alteração é relevante apenas para o site principal do GFW, o mapa e os painéis. O GFW Pro também atualizará suas fronteiras políticas em breve.&nbsp;</p>



<h2 class="wp-block-heading">Quais áreas são afetadas por essa atualização?&nbsp;</h2>



<p>Essa atualização inclui mudanças nas fronteiras em todo o mundo em diferentes níveis. O GADM rotula esses diferentes níveis como "unidades administrativas" e os divide da seguinte forma: "admin 0" refere-se ao nível do país, "admin 1" refere-se ao nível do estado/província e "admin 2" refere-se ao nível do condado/distrito.&nbsp;&nbsp;</p>



<h3 class="wp-block-heading">Limites do país&nbsp;</h3>



<p>Não há um registro oficial de mudanças disponível no GADM para essa atualização, mas nossa equipe identificou várias alterações nas fronteiras dos países. Vimos diferenças pequenas, mas perceptíveis, nas fronteiras de aproximadamente 10 países: Chile, China, Colômbia, Costa Rica, Djibuti, Arábia Saudita, Somália, Togo e Uruguai.&nbsp;&nbsp;</p>



<h3 class="wp-block-heading">Limites subnacionais&nbsp;</h3>



<p>Nossa análise também revelou vários limites subnacionais atualizados.&nbsp;&nbsp;</p>



<p>Vários países adicionaram ou removeram regiões (2 áreas administrativas):&nbsp;&nbsp;</p>



<table>
    <tr>
        <td>Países</td>
        <td>Número de regiões no GADM 3.6</td>
        <td>Número de regiões no GADM 4.1</td>
        <td>Mudança </td>
    </tr>
    <tr>
        <td>Colômbia</td>
        <td>1065</td>
        <td>1119</td>
        <td>+54 </td>
    </tr>
    <tr>
        <td>Togo</td>
        <td>21</td>
        <td>40</td>
        <td>+19 </td>
    </tr>
    <tr>
        <td>Djibuti</td>
        <td>11</td>
        <td>21</td>
        <td>+10 </td>
    </tr>
    <tr>
        <td>Brunei</td>
        <td>32</td>
        <td>39</td>
        <td>+7 </td>
    </tr>
    <tr>
        <td>Samoa Americana</td>
        <td>16</td>
        <td>17</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Benin</td>
        <td>76</td>
        <td>77</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Chile</td>
        <td>54</td>
        <td>55</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Costa Rica</td>
        <td>81</td>
        <td>82</td>
        <td>+1 </td>
    </tr>
    <tr>
        <td>Austrália</td>
        <td>569</td>
        <td>568</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Quênia</td>
        <td>301</td>
        <td>300</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Ucrânia</td>
        <td>629</td>
        <td>628</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Iêmen</td>
        <td>333</td>
        <td>332</td>
        <td>-1 </td>
    </tr>
    <tr>
        <td>Macau</td>
        <td>8</td>
        <td>2</td>
        <td>-6 </td>
    </tr>
    <tr>
        <td>Uruguai</td>
        <td>204</td>
        <td>141</td>
        <td>-63 </td>
    </tr>
    <tr>
        <td>Países Baixos</td>
        <td>491</td>
        <td>355</td>
        <td>-136 </td>
    </tr>
</table>



<p></p>



<p>Em nível subnacional, observamos algumas alterações em nomes, códigos de identificação e/ou fronteiras, especialmente na África Ocidental e Austral, América Central, América do Sul, Europa e Sudeste Asiático. As áreas destacadas do mapa abaixo mostram as áreas amarelas do admin 2 que foram alteradas:&nbsp;</p>



<figure class="wp-block-image size-full"><img src="https://content.globalforestwatch.org/wp-content/uploads/2025/04/gadm_changes_pt.png" alt="" class="wp-image-19347"/></figure>



<h3 class="wp-block-heading">Limites em disputa&nbsp;</h3>



<p>Uma mudança importante nessa atualização é que algumas fronteiras politicamente disputadas não estão mais incluídas em nenhuma análise nacional ou subnacional (observe que o GADM não inclui todas as fronteiras disputadas em seus dados).&nbsp;</p>



<p>Com essa atualização, as áreas em disputa são incluídas apenas na análise global disponível nos painéis. Isso se deve ao fato de que a versão anterior do GADM (3.6) não delimitava as fronteiras disputadas, mas o GADM 4.1 sim: na versão 4.1, as áreas disputadas são separadas das áreas administrativas adjacentes e têm seus próprios códigos de identificação. Isso significa que as análises de países da GFW não incluirão mais nenhuma área que a GADM identifique como politicamente disputada.&nbsp;</p>



<p>Por exemplo, a região disputada da Caxemira entre a China, o Paquistão e a Índia agora está delineada na versão 4.1&nbsp;</p>



<div class="flourish-embed flourish-photo-slider" data-src="visualisation/24291347?163031"><script src="https://public.flourish.studio/resources/embed.js"></script><noscript><img src="https://public.flourish.studio/visualisation/24291347/thumbnail" width="100%" alt="photo-slider visualization" /></noscript></div>



<h2 class="wp-block-heading">Como essa atualização afetará os dados e as estatísticas do GFW?&nbsp;</h2>



<h3 class="wp-block-heading">Análises&nbsp;</h3>



<p>Com essa atualização, qualquer alteração nos limites da área resultará em algumas alterações nas estatísticas e nos resultados das análises. Se você quiser comparar a versão anterior e a nova da sua área de administração, recomendamos fazer o download da versão 3.6 da área escolhida por meio do <a href="https://gadm.org/old_versions.html" target="_blank" rel="noreferrer noopener">site do GADM </a>e compará-la com a mesma área no mapa ou painel do GFW. Consulte <a href="https://www.globalforestwatch.org/help/map/guides/analyze-data-map/" target="_blank" rel="noreferrer noopener">este artigo em nossa Central de Ajuda </a>para obter instruções sobre como fazer upload de shapefiles.&nbsp;</p>



<p>Como exemplo desse tipo de mudança, agora há cinco províncias em Kalimantan, na Indonésia, em vez de quatro: Kalimantan Timur (Kalimantan Oriental) se dividiu em duas áreas: <a href="https://www.globalforestwatch.org/dashboards/country/IDN/34/?location=WyJjb3VudHJ5IiwiSUROIiwiMzQiXQ%3D%3D&amp;map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D" target="_blank" rel="noreferrer noopener">Kalimantan Timur </a>e <a href="https://www.globalforestwatch.org/dashboards/country/IDN/35/?map=eyJjYW5Cb3VuZCI6dHJ1ZX0%3D" target="_blank" rel="noreferrer noopener">Kalimantan Utara (Kalimantan do Norte)</a>.&nbsp;</p>



<h3 class="wp-block-heading">Assinaturas de alertas e áreas salvas nas contas MyGFW&nbsp;</h3>



<p>Os usuários não receberão mais e-mails de assinatura de alerta para países, regiões ou sub-regiões salvos em sua conta MyGFW antes de 29 de abril de 2025&nbsp;</p>



<p>Para tornar essa alteração mais conveniente, atualizamos automaticamente os limites políticos dos países, regiões e sub-regiões salvos que mantiveram o mesmo nome entre as versões 3.6 e 4.1 do GADM. Os usuários cujas áreas foram atualizadas automaticamente receberão um e-mail notificando-os sobre essa alteração.&nbsp;&nbsp;</p>



<p>No entanto, se você não tiver recebido um e-mail nosso ou se tiver vários limites políticos salvos, recomendamos que salve novamente as áreas de interesse relevantes na sua conta MyGFW&nbsp;</p>



<ol type="1" start="1">
<li>Navegue até sua <a href="https://www.globalforestwatch.org/my-gfw/?utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate" target="_blank" rel="noreferrer noopener">conta MyGFW </a>e procure as áreas marcadas com a etiqueta "área desatualizada, notificações pausadas".&nbsp;</li>



<li>Depois de anotar o país, a região ou a sub-região que não está mais recebendo e-mails de alerta, navegue até www.globalforestwatch.org/map&nbsp;</li>



<li><a href="https://www.globalforestwatch.org/map/?map=eyJkYXRhc2V0cyI6W3siZGF0YXNldCI6InBvbGl0aWNhbC1ib3VuZGFyaWVzIiwibGF5ZXJzIjpbImRpc3B1dGVkLXBvbGl0aWNhbC1ib3VuZGFyaWVzIiwicG9saXRpY2FsLWJvdW5kYXJpZXMiXSwiYm91bmRhcnkiOnRydWUsIm9wYWNpdHkiOjEsInZpc2liaWxpdHkiOnRydWV9XX0%3D&amp;mapMenu=eyJtZW51U2VjdGlvbiI6InNlYXJjaCJ9&amp;utm_medium=email&amp;utm_source=email1&amp;utm_campaign=gadmupdate" target="_blank" rel="noreferrer noopener">Pesquise a área </a>ou navegue até ela.&nbsp;</li>



<li>Clique na área, selecione "analisar" e, em seguida, selecione "salvar no MyGFW".&nbsp;&nbsp;</li>



<li>Personalize a área salva selecionando um nome, tags, notificações de alerta e muito mais e, em seguida, clique em "salvar".&nbsp;&nbsp;</li>
</ol>



<p>Você continuará a receber e-mails de notificação de alerta para essa área.</p>



<h3 class="wp-block-heading">Incorporações e URLs&nbsp;&nbsp;</h3>



<p>As incorporações e os links para países, regiões e sub-regiões no painel e no mapa agora podem ser exibidos ou vinculados a novas áreas. Isso se deve ao fato de o código de identificação do GADM mudar entre as versões.&nbsp;&nbsp;</p>



<p>Se você estiver usando uma incorporação que mostre um limite político, recomendamos verificar se ela ainda mostra a área que você escolheu originalmente; se o identificador da área mudou, a incorporação pode mostrar uma área totalmente nova.&nbsp;&nbsp;</p>



<h4 class="wp-block-heading"><strong><em>Exemplo de Gana, onde a incorporação mostra uma nova área devido à mudança do identificador de área</em></strong>&nbsp;</h4>



<iframe width="670" height="490" frameborder="0" src="https://www.globalforestwatch.org/embed/map/?mainMap=eyJzaG93QW5hbHlzaXMiOnRydWV9&map=eyJjZW50ZXIiOnsibGF0Ijo2LjkxNjA4ODMwOTEyNDQ2MiwibG5nIjotMC4zOTI1OTAxODgxNzM3Mzk5fSwiem9vbSI6OC42ODQxODM4MTA0ODgzNTMsImNhbkJvdW5kIjpmYWxzZSwiZGF0YXNldHMiOlt7ImRhdGFzZXQiOiJwb2xpdGljYWwtYm91bmRhcmllcyIsImxheWVycyI6WyJkaXNwdXRlZC1wb2xpdGljYWwtYm91bmRhcmllcyIsInBvbGl0aWNhbC1ib3VuZGFyaWVzIl0sImJvdW5kYXJ5Ijp0cnVlLCJvcGFjaXR5IjoxLCJ2aXNpYmlsaXR5Ijp0cnVlfV19&mapMenu=eyJzZWFyY2giOiJzZW5lLCBnaGFuYSJ9&mapPrompts=eyJvcGVuIjp0cnVlLCJzdGVwc0tleSI6InJlY2VudEltYWdlcnkifQ%3D%3D"></iframe>



<p>Se você salvou um URL vinculado a um limite político, recomendamos também que verifique se o URL ainda mostra a área de interesse desejada. Se isso não acontecer, siga <a href="https://www.globalforestwatch.org/help/map/guides/how-to-use-map-dashboards/" target="_blank" rel="noreferrer noopener">estas instruções </a>sobre como você pode pesquisar uma área no mapa e nos painéis.&nbsp;</p>



<h2 class="wp-block-heading">Onde posso fazer perguntas e obter ajuda?&nbsp;</h2>



<p>A equipe do GFW tem como objetivo fornecer as últimas atualizações de monitoramento florestal para os usuários e apoiar o uso da plataforma GFW, e valorizamos muito o seu feedback. Se tiver comentários sobre essas alterações ou precisar de ajuda, entre em contato conosco pelo <a href="mailto:gfw@wri.org">gfw@wri.org.</a></p>



<style type="text/css"></style>

O Global Forest Watch atualizou os limites políticos - veja o que você deve saber 

We’ve updated the political boundaries available on GFW using the latest and most accurate information. Learn about the changes in our blog.

Global Forest Watch has Updated Political Boundaries

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Users In Action

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logging

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Mirzha Hanifah

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Harnessing Technology, Raising a New Generation of Forest Monitors

WRI Indonesia and the IFM Fund are laying the groundwork for a new generation of forest monitors to contribute to environmental protection in Indonesia.

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World’s Forest Carbon Sink Shrank to its Lowest Point in at Least 2 Decades, Due to Fires and Persistent Deforestation

With emissions from deforestation and other disturbances like fires rising, the world’s forests risk shifting from a carbon sink to a carbon source.

World’s Forest Carbon Sink Shrank to its Lowest Point in at Least 2 Decades, Due to Fires and Persistent Deforestation | Forest Insights | Global Forest Watch Blog

James MacCarthy

Jessica Richter

Sasha Tyukavina

The Latest Data Confirms: Forest Fires Are Getting Worse

The latest data on forest fires confirms: Fires are becoming more widespread, burning nearly twice as much tree cover today as 20 years ago.

The Latest Data Confirms: Forest Fires Are Getting Worse | GFW Blog

Large forest fire to open area for agriculture and cattle ranching in the Amazon rainforest. Credit: Paralaxis / Alamy Stock Photo

3A2KGCM

Congo Basin

Congo Basin | Global Forest Watch Blog

Malaysia

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mexico

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Peru

Peru | Global Forest Watch Blog

Fires Drove Record-breaking Tropical Forest Loss in 2024

The tropics lost a record-shattering amount of primary rainforest in 2024 driven largely by fires, according to new data from UMD and GFW.

Tree cover loss due to fires visualized on the GFW map, 2001-2021

Mikaela Weisse

<p><a href="https://www.frontiersin.org/articles/10.3389/frsen.2022.825190/full" target="_blank" rel="noreferrer noopener">The latest data</a> from the University of Maryland (UMD), available on Global Forest Watch (GFW), provides a detailed view of how fires have driven tree cover loss across the globe through 2023. The <a href="https://gfw.global/3d5Ri2B">tree cover loss from fires data</a> offers insights on <a href="https://gfw.global/3Kdqn1n" target="_blank" rel="noreferrer noopener">trends in fire-driven loss since 2001</a> at a higher resolution than other global burned area data sets. Read on to learn what the data measures, how we can use it and how it differs from other fire-related data on GFW.</p>



<h2 class="wp-block-heading">The Latest Insights Into Trends of Fire-Driven Tree Cover Loss</h2>



<p>The tree cover loss from fires data builds on the existing <a href="https://research.wri.org/gfr/latest-analysis-deforestation-trends" target="_blank" rel="noreferrer noopener">annual tree cover loss data</a> from UMD by providing additional context on where fires are driving loss. Each 30-m pixel in the annual tree cover loss data is analyzed using Landsat satellite images to determine whether the loss was likely due to stand-replacing fires (which kill all or most living trees). This data allows fire-driven loss to be separated from all other drivers of tree cover loss, like agriculture and forestry. Using this data, detailed patterns of tree cover loss due to fires can be assessed over a 23-year period (2001-2023) using a globally consistent definition of fire-driven forest loss.</p>



<p>For this data, loss due to fires is defined as natural or human-ignited fires that result in direct loss of tree canopy cover. This could include wildfires, and intentionally set fires (including escaped fires started by humans for purposes related to agriculture, hunting, recreation or arson). Instances where trees are felled and later burned are not included since the initial driver of loss in that case is mechanical removal. Low-intensity and understory forest fires that do not result in substantial tree canopy loss at the scale of a 30-m pixel are also excluded from this definition.&nbsp;</p>



<p>This data is updated on an annual basis and allows us to better understand global, regional and local trends in tree cover loss as they evolve over time.</p>



<div class="imagecenter"><img decoding="async" class=" wp-image-3569 alignright" style="padding-bottom: 10px;" alt="tree cover loss due to fires 2001-2023" src="https://content.globalforestwatch.org/wp-content/uploads/2024/08/2024-Fires-Final-GIF-W-TITLE-1-1.gif" width="100%"></div>



<h2 class="wp-block-heading">How Can We Use the Tree Cover Loss from Fires Data?</h2>



<h3 class="wp-block-heading"><em>Identifying Areas with the Most Tree Cover Loss Due to Fires</em></h3>



<p>Users can use this data to visualize and analyze the spatial distribution of loss due to fires over time on GFW. For example, the global dashboard can help users identify countries with the most tree cover loss due to fires in the previous year.</p>



<iframe loading="lazy" width="315" height="460" frameborder="0" src="https://www.globalforestwatch.org/embed/widget/treeLossFires/global"></iframe>



<p></p>



<p>Looking at the list, Canada, Russia, and Brazil had the most tree cover loss due to fires in 2023. After analyzing the downloaded data, we can see that these three countries combined lost nearly 10.6 million hectares or 89% of all fire-related loss in 2023.</p>



<p>We can then view how fire activity has changed over time for these areas. For example, in 2023, Canada experienced the largest area of tree cover loss the country has seen in 23 years, 91% of which was due to fires.</p>



<iframe loading="lazy" width="630" height="460" frameborder="0" src="https://www.globalforestwatch.org/embed/widget/treeLossFiresAnnual/country/CAN"></iframe>



<p></p>



<p>Users can also use the GFW map to visualize when and where these fires occurred and select specific years to dig deeper into the data. For instance, looking at the map, it is clear that most of Canada’s fires in 2023 occurred across the western provinces and Quebec.</p>



<iframe loading="lazy" width="670" height="490" frameborder="0" src="https://www.globalforestwatch.org/embed/map/?map=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%3D"></iframe



<p></p>



<h3 class="wp-block-heading"><em>Separating Trends in Fire-Related Tree Cover Loss from Other Drivers</em></h3>



<p>In some cases, this data set can also provide insights into trends of forest loss that are <em>not</em> due to fires. Since loss from fires tends to vary significantly year to year depending on climate and other conditions, it can obscure the longer-term trend in tree cover loss from other drivers.</p>



<p>For example, the annual tree cover loss data on primary forest loss in Brazil shows a large spike in 2016 and 2017 that is not captured by the official deforestation monitoring system for the Brazilian Amazon, PRODES. Using the tree cover loss due to fires data, we can see that much of that spike was due to loss from fires, which are typically <a href="https://www.globalforestwatch.org/blog/data-and-research/2021-tree-cover-loss-data-explained/">not captured by the PRODES system</a>. Understanding where fire drives forest loss and where it does not helps provide more nuance when interpreting the data and allows more direct comparisons with other data sources.</p>



<div class="flourish-embed flourish-photo-slider" data-src="visualisation/10921476?163031"><script src="https://public.flourish.studio/resources/embed.js"></script></div>



<h2 class="wp-block-heading">What are the Limitations for Using this Data?</h2>



<p>In a <a href="https://globalforestwatch.org/blog/data-and-research/tree-cover-loss-satellite-data-trend-analysis/">previous blog</a>, we describe changes to the tree cover loss data since 2001 and recommend caution for comparing trends before and after 2015. This data on fires builds on that tree cover loss data set, so the same cautions apply. While the changes to the tree cover loss data have resulted in improved detection of forest loss in recent years, including better detection of fires in the boreal forests and other regions, it has also introduced inconsistencies over time.</p>



<p>Despite these inconsistencies, the data features high levels of <a href="https://www.frontiersin.org/articles/10.3389/frsen.2022.825190/full" target="_blank" rel="noreferrer noopener">spatial and temporal accuracy</a> at the global level (assessed for 2001-2019). Globally, 90% of areas classified as tree cover loss due to fires were classified correctly; the other 10% were false positives.</p>



<p>Spatial accuracy varied by region but remained relatively high for most regions. Europe and North America had the highest levels of accuracy with false positive rates of 7% and 4%, respectively. Africa had the lowest accuracy and the highest number of false positives, with 39% of the area labeled as tree cover loss due to fires incorrectly classified. The high false positive rate in Africa is likely because forest fires there are relatively rare.&nbsp;</p>



<table>
  <tbody><tr>
    <th>Region</th>
    <th>False Positive Rate</th>
  </tr>
 <tr>
    <td>North America</td>
    <td>4%</td>
  </tr>
  <tr>
    <td>Europe</td>
    <td>7%</td>
  </tr>
 <tr>
    <td>Latin America</td>
    <td>26%</td>
  </tr>
<tr>
    <td>Southeast Asia</td>
    <td>27%</td>
  </tr>
<tr>
    <td>Africa</td>
    <td>39%</td>
  </tr>
<tr>
    <td><strong>Global</strong></td>
    <td><strong>10%</strong></td>
  </tr>
</tbody></table>



<div class="imagecenter"><img class=" wp-image-3569 alignright" style="padding-bottom: 10px;" width="100%">False positive rates assessed across 2001-2019 within tree cover greater than 0%.</div>



<p>There are also cases where there are delays in detecting tree cover loss due to fires, where the loss occurs close to the end of the year but there aren’t enough clear satellite images to detect it until the following year. This is important to note because sometimes spikes we see in loss due to fires can reflect trends from the previous year. Overall, 96% of all fire-related loss events between 2001 and 2019 occurred within one year of the mapped loss date.</p>



<h2 class="wp-block-heading">What Other Fire Data is on GFW, and What’s Different About the Tree Cover Loss from Fire Data?</h2>



<p>The fire data available on GFW falls into two categories: fire activity data and contextual data. <em>Fire activity data</em> allows users to view ongoing fires and analyze the extent of fires in areas of interest, such as a country or user-defined polygon. <em>Contextual data</em> can be used to supplement the fire activity data and help users understand what areas are at risk of fire and the impacts of fire on air quality.&nbsp;&nbsp;</p>



<h4 class="wp-block-heading">Comparison of GFW Fire Data</h4>



<table border="1" cellpadding="0" cellspacing="0">
	<tbody>
		<tr>
			<td rowspan="4" style="width:150px;">
			<p align="left" style="margin-left:1pt;"><strong>Fire Activity</strong></p>

			<p align="center" style="margin-left:1pt;">&nbsp;</p>
			</td>
			<td style="width:150px;">
			<p align="center"><strong>Data Set</strong></p>
			</td>
			<td style="width:150px;">
			<p align="center"><strong>Resolution</strong></p>
			</td>
			<td style="width:150px;">
			<p align="center"><strong>Data Source</strong></p>
			</td>
			<td style="width:150px;">
			<p align="center"><strong>Update Frequency</strong></p>
			</td>
			<td style="width:150px;">
			<p align="center"><strong>Date Range</strong></p>
			</td>
			<td style="width:150px;">
			<p align="center"><strong>Best Use</strong></p>
			</td>
		</tr>
		<tr>
			<td style="width:150px;">
			<p>Tree Cover Loss from Fires</p>
			</td>
			<td style="width:150px;">
			<p align="center">30m</p>
			</td>
			<td style="width:150px;">
			<p align="center">UMD/GLAD</p>
			</td>
			<td style="width:150px;">
			<p align="center">Annual</p>
			</td>
			<td style="width:150px;">
			<p align="center">2001-2023</p>
			</td>
			<td style="width:150px;">
			<p>Calculating extent of stand-replacing forest fires</p>
			</td>
		</tr>
		<tr>
			<td style="width:150px;">
			<p>VIIRS Fire Alerts</p>
			</td>
			<td style="width:150px;">
			<p align="center">375m</p>
			</td>
			<td style="width:150px;">
			<p align="center">NASA</p>
			</td>
			<td style="width:150px;">
			<p align="center">Twice daily</p>
			</td>
			<td style="width:150px;">
			<p align="center">2012-Present</p>
			</td>
			<td style="width:150px;">
			<p>Detecting fire locations in near-real-time (day/night)</p>
			</td>
		</tr>
		<tr>
			<td style="width:150px;">
			<p>MODIS Fire Alerts*</p>
			</td>
			<td style="width:150px;">
			<p align="center">500m</p>
			</td>
			<td style="width:150px;">
			<p align="center">NASA</p>
			</td>
			<td style="width:150px;">
			<p align="center">Twice daily</p>
			</td>
			<td style="width:150px;">
			<p align="center">2000-Present</p>
			</td>
			<td style="width:150px;">
			<p>Detecting fire locations in near-real-time (day)</p>
			</td>
		</tr>
		<tr>
			<td rowspan="2" style="width:150px;">
			<p align="left" style="margin-left:1pt;"><strong>Contextual</strong></p>
			</td>
			<td style="width:150px;">
			<p align="center">Global Fire Weather Index</p>
			</td>
			<td style="width:150px;">
			<p align="center">10km</p>
			</td>
			<td style="width:150px;">
			<p align="center">NASA</p>

			<p align="center">GFWED</p>
			</td>
			<td style="width:150px;">
			<p align="center">Daily</p>
			</td>
			<td style="width:150px;">
			<p align="center">Present</p>
			</td>
			<td style="width:150px;">
			<p>Current fire risk</p>
			</td>
		</tr>
		<tr>
			<td style="width:150px;">
			<p align="center">Global Air Quality Index</p>
			</td>
			<td style="width:150px;">
			<p align="center">n/a</p>
			</td>
			<td style="width:150px;">
			<p align="center">World Air Quality Index</p>

			<p align="center">US EPA</p>
			</td>
			<td style="width:150px;">
			<p align="center">Every 15 minutes</p>
			</td>
			<td style="width:150px;">
			<p align="center">Present</p>
			</td>
			<td style="width:150px;">
			<p>Fire-related effects on air pollution</p>

			<p>&nbsp;</p>

			<p>&nbsp;</p>
			</td>
		</tr>
	</tbody>
</table>



<div class="imagecenter"><img class=" wp-image-3569 alignright" style="padding-bottom: 10px;" width="100%">*The Terra satellite that carries the MODIS sensor will be decommissioned next year, along with associated products including the MODIS near-real-time alerts and burned areas data set. VIIRS will continue to be the main source of near-real-time fire alerts.</div>



<h3 class="wp-block-heading"><em>Fire Activity Data</em></h3>



<p><strong>Tree Cover Loss from Fires Data</strong></p>



<p>The tree cover loss from fires data differs from other fire activity data on the GFW platform because it focuses solely on stand-replacing forest fires, while other fire data sets do not make a distinction between stand-replacing fires and other fires. This is important because forests act as <a href="https://gfw.global/3JWxECg" target="_blank" rel="noreferrer noopener">carbon sinks</a> and contain most of the land-based carbon on the planet, which is released when they burn.&nbsp;</p>



<p>The tree cover loss from fire data also tracks fires at a much finer resolution than the other fire activity data such as <a href="https://modis.gsfc.nasa.gov/data/dataprod/mod45.php" target="_blank" rel="noreferrer noopener">MODIS burned areas</a>; however, it is also updated less frequently, making it less useful for monitoring ongoing or very recent fire activity.</p>



<div class="flourish-embed flourish-photo-slider" data-src="visualisation/10857448?163031"><script src="https://public.flourish.studio/resources/embed.js"></script></div>



<p><strong>Other Fire Activity Data</strong></p>



<p><strong>Near-real-time alerts (MODIS and VIIRS):<em> </em></strong>MODIS* and VIIRS active fire alerts provide users with near-real-time data that is updated daily and can be used to monitor and respond to ongoing fires. The alerts can detect varying fire sizes depending on the fire temperature, time of day and presence of cloud cover or heavy haze. &nbsp;</p>



<p>Users can analyze fire activity data on the GFW <a href="https://gfw.global/3SmpoiN" target="_blank" rel="noreferrer noopener">map</a> and <a href="https://gfw.global/3ozQGoe" target="_blank" rel="noreferrer noopener">dashboard</a>, and filter the data to only view fires that occur in primary forests or other areas of conservation importance. Signing up for a myGFW account also gives users the option to create and analyze custom areas of interest. Users can also stay up to date on fire activity in their custom areas by <a href="https://www.globalforestwatch.org/help/map/guides/save-area-subscribe-forest-change-notifications/" target="_blank" rel="noreferrer noopener">subscribing to notifications</a> through their myGFW account.</p>



<h3 class="wp-block-heading"><em>Contextual Data</em></h3>



<ul>
<li><strong>Fire risk (Global Fire Weather Index):</strong> The Global Fire Weather Index can be used to identify areas where climate conditions make landscapes more vulnerable to fires, allowing users to understand the current risk of burning.&nbsp;</li>



<li><strong>Health impacts (Global Air Quality Index):</strong> The Global Air Quality Index measures current air quality of particulate matter which is strongly impacted by smoke and haze from fires. With over 15,000 stations worldwide, this helps users measure the risk of health effects related to air pollution. &nbsp;</li>
</ul>



<iframe loading="lazy" width="670" height="490" frameborder="0" src="https://www.globalforestwatch.org/map/?map=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%3D&mapMenu=eyJkYXRhc2V0Q2F0ZWdvcnkiOiJmb3Jlc3RDaGFuZ2UifQ%3D%3D"></iframe>



<p></p>



<p>The tree cover loss from fires data is a valuable data set in the suite of fire-related data on GFW and enables all users to better track the impact of fires on forests worldwide to develop more effective management responses.</p>



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<div class="attribute" style="”padding-bottom:" 10px;”=""> 

To explore fire data on GFW, visit the <a href="https://gfw.global/3SmpoiN" rel="noopener noreferrer">map</a> and <a href="https://www.globalforestwatch.org/dashboards/global/?category=fires&location=WyJnbG9iYWwiXQ%3D%3D&map=eyJkYXRhc2V0cyI6W119&showMap=true" rel="noopener noreferrer">dashboard</a>.
<br><br>
<a href="https://www.globalforestwatch.org/help/map/webinars/using-global-forest-watch-to-explore-active-fires-and-trends/?utm_campaign=treecoverlossfires2022&utm_medium=bitly&utm_source=WRIInsights" rel="noopener noreferrer">View a webinar</a> in English, Spanish, Portuguese and Bahasa Indonesia to learn more about tree cover loss from fires and other fire-related data on Global Forest Watch. <p><p>
This piece was originally published in 2022. It was updated in August 2024 to reflect the latest developments with the tree cover loss due to fires data.
 

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<p></p>

Over Two Decades of Fire-Driven Loss in Exceptional Detail

Detalhes excepcionais de mais de duas décadas de perda causada por incêndios

Détails exceptionnels sur plus de deux décennies de pertes causées par des incendies

Lebih Dari Dua Dekade Kehilangan Akibat Kebakaran Dilihat dalam Perincian yang Menakjubkan

Más de dos décadas de pérdidas generadas debidas a incendios con el mayor detalle

Tree cover loss from fires data offers a higher-resolution look than ever before at trends in fire-driven loss over more than two decades.

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