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230<span>About</span>
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257            <div class="field field--name-body field--type-text-with-summary field--label-hidden field--item"><p>The Multi-Resolution Land Characteristics (MRLC) consortium is a group of federal agencies who coordinate and generate consistent and relevant land cover information at the national scale for a wide variety of environmental, land management and modeling applications. The creation of this consortium has resulted in the mapping of the lower 48 United States, Hawaii, Alaska and Puerto Rico into a comprehensive land cover product termed, the National Land Cover Database (NLCD), from decadal Landsat satellite imagery and other supplementary datasets.</p><p>The primary objective of the MRLC NLCD is to provide the Nation with nationally complete, current, consistent and public domain information on the Nation's land cover. Land cover information is critical for local, state and federal managers and officials to assist them with issues such as assessing ecosystem status and health, modeling nutrient and pesticide runoff, understanding spatial patterns of biodiversity, land use planning, deriving landscape pattern metrics and developing land management policies.</p><p>All MRLC NLCD data products are available at no charge to the user.</p></div>
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301</style><div class="panel panel-default"><div class="panel-heading"><h3 class="panel-title">Science Highlights</h3></div><div class="fact-sheet"><p><a href="https://www.sciencedirect.com/science/article/pii/S0034425726001173"><img class="responsive" src="/sites/default/files/inline-images/image.png" alt="A framework for integrating spatiotemporal deep learning methods with landsat for annual land cover and impervious surface mapping" width="671" height="569" loading="lazy"></a></p><div class="fact-sheet"><a href="https://www.youtube.com/watch?v=qMs25ySkWLA" target="_blank"><img class="responsive" src="/sites/default/files/inline-images/NLCD_Webinar.png" alt="NLCD Webinar thumbnail" width="831" height="465" loading="lazy"></a></div><div class="fact-sheet"><a href="https://pubs.usgs.gov/publication/fs20233004"><img class="responsive" src="/sites/default/files/inline-images/rangelandcondition.png" data-entity-uuid="aff592be-37c3-46bc-b2db-5f3009bc845e" data-entity-type="file" width="200" height="258" loading="lazy"></a></div><div class="fact-sheet"><a href="https://spj.science.org/doi/10.34133/remotesensing.0022"><img class="responsive" src="/sites/default/files/inline-images/NLCD2019StrategyForCompositingImages_0.jpeg" data-entity-uuid="61ca8c71-4fe5-4f2e-b983-3b202643aaf4" data-entity-type="file" alt="Article for NLCD 2019 strategy for compositing images" width="830" height="867" loading="lazy"></a></div><div class="fact-sheet"><a href="https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2025-6_Methods.pdf"><img class="responsive" src="/sites/default/files/inline-images/nationallandcoverdatabase-canopycovermethods.jpeg" data-entity-uuid="8616c4e4-8cb0-4fa7-a3cf-d4cd419518aa" data-entity-type="file" alt="First page of National Land Cover Database Canopy Cover Methods document" width="813" height="803" loading="lazy"></a></div></div></div></div>
302      
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331      <img loading="lazy" src="/sites/default/files/styles/news_card_image/public/2026-08/image_0.jpg?itok=bsKHmMoZ" width="400" height="250" alt="Topographic map of CONUS forestland" class="img-responsive" />
332
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334
335    <div class="caption">
336		<h3>National Annual Tree Canopy Cover data now available from 1985-2025 for CONUS</h3>
337		<p class="new-plubished-date">Published <time datetime="2026-08-04T10:32:01-05:00">Aug 04, 2026</time>
338</p>
339		The USDA Forest Service Geospatial Office (GO) and Research and Development - Forest Inventory and Analysis (FIA) builds and maintains the National Tree Canopy Cover (TCC) dataset as part of the National Land Cover Database (NLCD). Annual data for the contiguous United States is now available from 1985-2025. The TCC datasets are derived from Landsat and Sentinel-2 imagery along with USDA Forest Service FIA data, based on a spatial resolution of 30 meters. Each Tree Canopy Cover (TCC) value is determined using photo interpretation methods and machine learning models, to produce the percentage of the area covered by tree canopy and interannual change between all years.<br />
340<br />
341Data for Southeast Alaska, Puerto Rico, and the U.S. Virgin Islands are expected to be released later in 2026.<br><br>
342		<div class="btn btn-default" role="button">
343			<a href="/data">Review Products</a>
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355      <img loading="lazy" src="/sites/default/files/styles/news_card_image/public/2026-06/AnnualNLCD1_2new.jpg?itok=apFykq1R" width="400" height="250" alt="Annual NLCD image of CONUS showing land features" class="img-responsive" />
356
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358
359    <div class="caption">
360		<h3>Annual NLCD CONUS Collection 1.2 Now Available</h3>
361		<p class="new-plubished-date">Published <time datetime="2026-06-10T09:57:37-05:00">Jun 10, 2026</time>
362</p>
363		Land Cover Characteristics in a Suite of Six Products<br />
364<br />
365Annual NLCD CU C1.2 adds 2025 to the established suite of six raster-based land use and land cover science products for the conterminous United States. It now covers the peri
365od between 1985 and 2025: <br />
366<br />
3671.	Land Cover<br />
3682.	Land Cover Change <br />
3693.	Land Cover Confidence <br />
3704.	Fractional Impervious Surface<br />
3715.	Impervious Descriptor<br />
3726.	Spectral Change Day of Year<br><br>
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386      <img loading="lazy" src="/sites/default/files/styles/news_card_image/public/2026-05/RCMAP_headline_graphic_v8_0.jpg?itok=oGgeqmlF" width="400" height="250" alt="A map of Western CONUS with RCMAP Tree Cover Trend" class="img-responsive" />
387
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391		<h3>New Generations of RCMAP and EAG Data Available</h3>
392		<p class="new-plubished-date">Published <time datetime="2026-05-11T10:17:12-05:00">May 11, 2026</time>
393</p>
394		The U.S. Geological Survey Rangeland Condition Monitoring Assessment and Projection (RCMAP) Exotic Annual Grass (EAG) team is pleased to announce the release of a new generation of weekly resolution maps. We initially release weekly data for 2026 weeks 10-16 (March 11 – April 15) for total herbaceous, total EAG, cheatgrass, medusahead, field brome, and Sandberg’s Bluegrass. This will be followed by weekly releases through week 38 (late September) of 2026. Weeks 10-38 of 2016-2025 will also be processed and distributed in summer 2026.  <br />
395<br />
396A new generation of RCMAP (Rangeland Condition, Monitoring, Assessment, and Projection) fractional component time-series data spanning 1985-2025 are now available.  <br />
397<br />
398Both RCMAP and RCMAP-EAG data are available for download and on the rangelands viewer at www.mrlc.gov, and ArcGIS Online. <br><br>
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