NLCD 2019 represents the latest evolution of NLCD land cover products focused on providing innovative land cover and land cover change data for the Nation. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. Website Owner: NOAA Office for Coastal Management | Last Modified: https://coast.noaa.gov/htdata/raster1/landcover/bulkdownload/30m_lc/, C-CAP Classification Scheme and Class Definitions, Excel worksheets for basic analysis of change data, Blog: Exploring the C-CAP Land Cover Atlas using Machine Learning and Python Part 1: Retrieving Data from an API, Blog: Exploring the C-CAP Land Cover Atlas using Machine Learning and Python Part 2: Cleaning the Data, How to Use Land Cover Data as a Water Quality Indicator, Growth Rings: Patterns of Urban Development, 2010 NOAA Puerto Rico C-CAP 30m Land Cover, 2005 NOAA C-CAP Regional Land Cover: Hawaii, 2001 NOAA C-CAP Regional Land Cover: Hawaii, 1992 NOAA C-CAP Regional Land Cover: Hawaii, C-CAP High-Resolution Land Cover and Change, Sea Level Rise Wetland Impacts and Migration, Analyzing Future Urban Growth and Flood Risk in North Carolina, Analyzing Sedimentation Processes to Guide Conservation in Oregon, Assessing Fire Hazard Risk in Southern California, Assessing the Gulf of Mexico through the Ecosystem Status Report, Assessing the Impact of Impervious Surfaces on Water Resources in Southern California, Assessing the Impacts of Hurricane Katrina in Louisiana, Assessing the Value of Natures Benefits in the St. Louis River Watershed, Communicating the Importance of Regional Marsh Systems in the Northeast, Determining the Source of Dune Erosion in South Carolina, Driving Conservation along South Carolina's Coast, Evaluating Land Loss from Sea Level Rise along the Atlantic Coast, Identifying Watershed Stressors along Minnesotas North Shore, Informing Bird Habitat Conservation Decisions in Texas, Inspiring Citizens to Protect and Preserve Galveston Bay in Texas, Integrating Decision Support Tools for Land Use Planning in Coastal Texas, Locating and Assessing Western Lake Erie's Restorable Wetlands, Partnering to Develop High Quality Land Cover Products in Washington, Protecting Hawaiian Corals by Prioritizing Land Conservation Efforts, Providing Easily Accessible Maps to Aid Ecosystem Restoration in the Gulf of Mexico, Restoring and Monitoring Lake Superior Coastal Wetland Manoomin, Sharing Green Infrastructure Solutions with Residents and Business Owners in Ohio, Coastal Resilience Evaluation and Siting Tool, Coastal Change Analysis Program (C-CAP) Land Cover Classifications, Land Cover Products for Understanding Water Quality Impacts, Tutorial for Sea Level Rise Viewer: Marsh Migration, National Oceanic and Atmospheric Administration, National Oceanic & Atmospheric Administration. (Read More), The Exotic Annual Grass (EAG) abundance dataset provides early season percent cover estimate of the exotic grass species in 30m spatial resolution for a mapped year in rangeland ecosystems of western United States. Providing Central Access to USDAs Open Research Data, MULTIPOLYGON (((-155.54211 19.08348, -155.68817 18.91619, -155.93665 19.05939, -155.90806 19.33888, -156.07347 19.70294, -156.02368 19.81422, -155.85008 19.97729, -155.91907 20.17395, -155.86108 20.26721, -155.78505 20.2487, -155.40214 20.07975, -155.22452 19.99302, -155.06226 19.8591, -154.80741 19.50871, -154.83147 19.45328, -155.22217 19.23972, -155.54211 19.08348)), ((-156.07926 20.64397, -156.41445 20.57241, -156.58673 20.783, -156.70167 20.8643, -156.71055 20.92676, -156.61258 21.01249, -156.25711 20.91745, -155.99566 20.76404, -156.07926 20.64397)), ((-156.75824 21.17684, -156.78933 21.06873, -157.32521 21.09777, -157.25027 21.21958, -156.75824 21.17684)), ((-157.65283 21.32217, -157.70703 21.26442, -157.7786 21.27729, -158.12667 21.31244, -158.2538 21.53919, -158.29265 21.57912, -158.0252 21.71696, -157.94161 21.65272, -157.65283 21.32217)), ((-159.34512 21.982, -159.46372 21.88299, -159.80051 22.06533, -159.74877 22.1382, -159.5962 22.23618, -159.36569 22.21494, -159.34512 21.982)), ((-94.81758 49.38905, -94.64 48.84, -94.32914 48.67074, -93.63087 48.60926, -92.61 48.45, -91.64 48.14, -90.83 48.27, -89.6 48.01, -89.272917 48.019808, -88.378114 48.302918, -87.439793 47.94, -86.461991 47.553338, -85.652363 47.220219, -84.87608 46.900083, -84.779238 46.637102, -84.543749 46.538684, -84.6049 46.4396, -84.3367 46.40877, -84.14212 46.512226, -84.091851 46.275419, -83.890765 46.116927, -83.616131 46.116927, -83.469551 45.994686, -83.592851 45.816894, -82.550925 45.347517, -82.337763 44.44, -82.137642 43.571088, -82.43 42.98, -82.9 42.43, -83.12 42.08, -83.142 41.975681, -83.02981 41.832796, -82.690089 41.675105, -82.439278 41.675105, -81.277747 42.209026, -80.247448 42.3662, -78.939362 42.863611, -78.92 42.965, -79.01 43.27, -79.171674 43.466339, -78.72028 43.625089, -77.737885 43.629056, -76.820034 43.628784, -76.5 44.018459, -76.375 44.09631, -75.31821 44.81645, -74.867 45.00048, -73.34783 45.00738, -71.50506 45.0082, -71.405 45.255, -71.08482 45.30524, -70.66 45.46, -70.305 45.915, -69.99997 46.69307, -69.237216 47.447781, -68.905 47.185, -68.23444 47.35486, -67.79046 47.06636, -67.79134 45.70281, -67.13741 45.13753, -66.96466 44.8097, -68.03252 44.3252, -69.06 43.98, -70.11617 43.68405, -70.645476 43.090238, -70.81489 42.8653, -70.825 42.335, -70.495 41.805, -70.08 41.78, -70.185 42.145, -69.88497 41.92283, -69.96503 41.63717, -70.64 41.475, -71.12039 41.49445, -71.86 41.32, -72.295 41.27, -72.87643 41.22065, -73.71 40.931102, -72.24126 41.11948, -71.945 40.93, -73.345 40.63, -73.982 40.628, -73.952325 40.75075, -74.25671 40.47351, -73.96244 40.42763, -74.17838 39.70926, -74.90604 38.93954, -74.98041 39.1964, -75.20002 39.24845, -75.52805 39.4985, -75.32 38.96, -75.071835 38.782032, -75.05673 38.40412, -75.37747 38.01551, -75.94023 37.21689, -76.03127 37.2566, -75.72205 37.93705, -76.23287 38.319215, -76.35 39.15, -76.542725 38.717615, -76.32933 38.08326, -76.989998 38.239992, -76.30162 37.917945, -76.25874 36.9664, -75.9718 36.89726, -75.86804 36.55125, -75.72749 35.55074, -76.36318 34.80854, -77.397635 34.51201, -78.05496 33.92547, -78.55435 33.86133, -79.06067 33.49395, -79.20357 33.15839, -80.301325 32.509355, -80.86498 32.0333, -81.33629 31.44049, -81.49042 30.72999, -81.31371 30.03552, -80.98 29.18, -80.535585 28.47213, -80.53 28.04, -80.056539 26.88, -80.088015 26.205765, -80.13156 25.816775, -80.38103 25.20616, -80.68 25.08, -81.17213 25.20126, -81.33 25.64, -81.71 25.87, -82.24 26.73, -82.70515 27.49504, -82.85526 27.88624, -82.65 28.55, -82.93 29.1, -83.70959 29.93656, -84.1 30.09, -85.10882 29.63615, -85.28784 29.68612, -85.7731 30.15261, -86.4 30.4, -87.53036 30.27433, -88.41782 30.3849, -89.18049 30.31598, -89.593831 30.159994, -89.413735 29.89419, -89.43 29.48864, -89.21767 29.29108, -89.40823 29.15961, -89.77928 29.30714, -90.15463 29.11743, -90.880225 29.148535, -91.626785 29.677, -92.49906 29.5523, -93.22637 29.78375, -93.84842 29.71363, -94.69 29.48, -95.60026 28.73863, -96.59404 28.30748, -97.14 27.83, -97.37 27.38, -97.38 26.69, -97.33 26.21, -97.14 25.87, -97.53 25.84, -98.24 26.06, -99.02 26.37, -99.3 26.84, -99.52 27.54, -100.11 28.11, -100.45584 28.69612, -100.9576 29.38071, -101.6624 29.7793, -102.48 29.76, -103.11 28.97, -103.94 29.27, -104.45697 29.57196, -104.70575 30.12173, -105.03737 30.64402, -105.63159 31.08383, -106.1429 31.39995, -106.50759 31.75452, -108.24 31.754854, -108.24194 31.34222, -109.035 31.34194, -111.02361 31.33472, -113.30498 32.03914, -114.815 32.52528, -114.72139 32.72083, -115.99135 32.61239, -117.12776 32.53534, -117.295938 33.046225, -117.944 33.621236, -118.410602 33.740909, -118.519895 34.027782, -119.081 34.078, -119.438841 34.348477, -120.36778 34.44711, -120.62286 34.60855, -120.74433 35.15686, -121.71457 36.16153, -122.54747 37.55176, -122.51201 37.78339, -122.95319 38.11371, -123.7272 38.95166, -123.86517 39.76699, -124.39807 40.3132, -124.17886 41.14202, -124.2137 41.99964, -124.53284 42.76599, -124.14214 43.70838, -124.020535 44.615895, -123.89893 45.52341, -124.079635 46.86475, -124.39567 47.72017, -124.68721 48.184433, -124.566101 48.379715, -123.12 48.04, -122.58736 47.096, -122.34 47.36, -122.5 48.18, -122.84 49, -120 49, -117.03121 49, -116.04818 49, -113 49, -110.05 49, -107.05 49, -104.04826 48.99986, -100.65 49, -97.22872 49.0007, -95.15907 49, -95.15609 49.38425, -94.81758 49.38905)), ((-153.006314 57.115842, -154.00509 56.734677, -154.516403 56.992749, -154.670993 57.461196, -153.76278 57.816575, -153.228729 57.968968, -152.564791 57.901427, -152.141147 57.591059, -153.006314 57.115842)), ((-165.579164 59.909987, -166.19277 59.754441, -166.848337 59.941406, -167.455277 60.213069, -166.467792 60.38417, -165.67443 60.293607, -165.579164 59.909987)), ((-171.731657 63.782515, -171.114434 63.592191, -170.491112 63.694975, -169.682505 63.431116, -168.689439 63.297506, -168.771941 63.188598, -169.52944 62.976931, -170.290556 63.194438, -170.671386 63.375822, -171.553063 63.317789, -171.791111 63.405846, -171.731657 63.782515)), ((-155.06779 71.147776, -154.344165 70.696409, -153.900006 70.889989, -152.210006 70.829992, -152.270002 70.600006, -150.739992 70.430017, -149.720003 70.53001, -147.613362 70.214035, -145.68999 70.12001, -144.920011 69.989992, -143.589446 70.152514, -142.07251 69.851938, -140.985988 69.711998, -140.992499 66.000029, -140.99777 60.306397, -140.012998 60.276838, -139.039 60.000007, -138.34089 59.56211, -137.4525 58.905, -136.47972 59.46389, -135.47583 59.78778, -134.945 59.27056, -134.27111 58.86111, -133.355549 58.410285, -132.73042 57.69289, -131.70781 56.55212, -130.00778 55.91583, -129.979994 55.284998, -130.53611 54.802753, -131.085818 55.178906, -131.967211 55.497776, -132.250011 56.369996, -133.539181 57.178887, -134.078063 58.123068, -135.038211 58.187715, -136.628062 58.212209, -137.800006 58.499995, -139.867787 59.537762, -140.825274 59.727517, -142.574444 60.084447, -143.958881 59.99918, -145.925557 60.45861, -147.114374 60.884656, -148.224306 60.672989, -148.018066 59.978329, -148.570823 59.914173, -149.727858 59.705658, -150.608243 59.368211, -151.716393 59.155821, -151.859433 59.744984, -151.409719 60.725803, -150.346941 61.033588, -150.621111 61.284425, -151.895839 60.727198, -152.57833 60.061657, -154.019172 59.350279, -153.287511 58.864728, -154.232492 58.146374, -155.307491 57.727795, -156.308335 57.422774, -156.556097 56.979985, -158.117217 56.463608, -158.433321 55.994154, -159.603327 55.566686, -160.28972 55.643581, -161.223048 55.364735, -162.237766 55.024187, -163.069447 54.689737, -164.785569 54.404173, -164.942226 54.572225, -163.84834 55.039431, -162.870001 55.348043, -161.804175 55.894986, -160.563605 56.008055, -160.07056 56.418055, -158.684443 57.016675, -158.461097 57.216921, -157.72277 57.570001, -157.550274 58.328326, -157.041675 58.918885, -158.194731 58.615802, -158.517218 58.787781, -159.058606 58.424186, -159.711667 58.93139, -159.981289 58.572549, -160.355271 59.071123, -161.355003 58.670838, -161.968894 58.671665, -162.054987 59.266925, -161.874171 59.633621, -162.518059 59.989724, -163.818341 59.798056, -164.662218 60.267484, -165.346388 60.507496, -165.350832 61.073895, -166.121379 61.500019, -165.734452 62.074997, -164.919179 62.633076, -164.562508 63.146378, -163.753332 63.219449, -163.067224 63.059459, -162.260555 63.541936, -161.53445 63.455817, -160.772507 63.766108, -160.958335 64.222799, -161.518068 64.402788, -160.777778 64.788604, -161.391926 64.777235, -162.45305 64.559445, -162.757786 64.338605, -163.546394 64.55916, -164.96083 64.446945, -166.425288 64.686672, -166.845004 65.088896, -168.11056 65.669997, -166.705271 66.088318, -164.47471 66.57666, -163.652512 66.57666, -163.788602 66.077207, -161.677774 66.11612, -162.489715 66.735565, -163.719717 67.116395, -164.430991 67.616338, -165.390287 68.042772, -166.764441 68.358877, -166.204707 68.883031, -164.430811 68.915535, -163.168614 69.371115, -162.930566 69.858062, -161.908897 70.33333, -160.934797 70.44769, -159.039176 70.891642, -158.119723 70.824721, -156.580825 71.357764, -155.06779 71.147776)), ((-66.448338 17.984326, -66.771478 18.006234, -66.924832 17.929556, -66.985078 17.973372, -67.209633 17.956941, -67.154863 18.19245, -67.269879 18.362235, -67.094617 18.515589, -66.957694 18.488204, -66.409999 18.488204, -65.840398 18.433435, -65.632274 18.367712, -65.626797 18.203403, -65.730859 18.186973, -65.834921 18.017187, -66.234737 17.929556, -66.448338 17.984326))), Multi-Resolution Land Characteristics Consortium (MRLC), United States; Alaska; Hawaii; Puerto Rico, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration. Discover digital objects and collections curated by the UW-Digital Collections Center. Impervious surfaces account for 50% to 79% of the total cover. The USGS Sentinel-2 archive will soon be decommissioned. Sample NLCD map The National Land Cover Database (NLCD) provides nationwide data on land cover and land cover change at a 30m resolution with a 16-class legend based on a modified Anderson Level II classification system. rubens (L.) Duvin, Bromus racemosusL., Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc, and medusahead (Taeniatherum caput-medusae (L.) Nevski). Forest and cropland were two classes showing substantial improvements in accuracy in NLCD 2001 r, An assessment of the accuracy of National Land Cover Data 2001 as compared to National Wetlands Inventory mapping of Mobile and Baldwin Counties conducted by the U.S. Geological Survey's (USGS) National Wetlands Research Center (NWRC). A .gov website belongs to an official government organization in the United States. 2012-3020. (Product, Image, Photograph, or Dataset Name) (Partner, Organization, or Agency) image courtesy of the U.S. Geological Survey. Open water: areas of open water, generally with less than 25% cover of vegetation or soil. Cheatgrass (Bromus tectorum) is a dominant species, but this dataset also includes Bromus arvensis L., Bromus briziformisFisch. Crop vegetation accounts for greater than 20% of total vegetation. Share sensitive information only on official, secure websites. A lock ( The images rely on the imperviousness data layer for the urban classes and on a decision-tree classification for the rest. Component products are designed to be used individually or combined to support a broad variety of applications. Land Cover Atlas Online viewer makes it easier to explore land cover change data. 2.0, June 2021), National Land Cover Database (NLCD) 2019 Land Cover Products. Citation. NLCD 2019 does not yet contain updated products for Alaska, Hawaii and Puerto Rico. (Read More), Currently available trends statistics are for the 1985-2021 time-series. Remote sensing allows the evaluation of both abrupt and gradual rangeland change at unprecedented spatial and temporal extents. Well pads. A .gov website belongs to an official government organization in the United States. The change index was designed to assist NLCD users to understand complex land cover change with a single product. These areas most commonly include single-family housing units. IKONOS, OrbView, QuickBird, WorldView, SPOT) Example: Resourcesat-1 (ISRO) image courtesy of the U.S. Geological Survey. National Land Cover Database (NLCD) 2020. Non-interstate highways. Small features and changes should be verified with a higher-resolution data source. Find information on spaces, staff, and services. NLCD also ingests an increasing number of ancillary data like building footprints, well pads, wind turbine footprints, and other data to increase the accuracy of its impervious products. Two file types are available: individual dates that supply a wall-to-wall map, and change files that compare one date to another. NLCD also includes anNLCD Land Cover Change Index. NLCD 2019 updates all previously released versions of impervious products for CONUS and provides integrated analysis for all Land Cover dates. The National Land Cover Database (NLCD) serves as the definitive Landsat-based, 30-meter resolution, land cover database for the Nation. An official website of the United States government. A New Generation of the United States National Land Cover Database: Requirements, Research Priorities, Design, and Implementation Strategies, ISPRS Journal of Photogrammetry and Remote Sensing, 146, pp.108-123. Barren land (rock/sand/clay): areas of bedrock, desert pavement, scarps, talus, slides, volcanic material, glacial debris, sand dunes, strip mines, gravel pits, and other accumulations of earthen material. NLCD 2019 offers 8 integrated epochs of land cover for years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019. The data are updated every 5 years. Search the physical and online collections at UW-Madison, UW System libraries, and the Wisconsin Historical Society. IKONOS. NLCD 2019offers land cover for years 2001, 2003, 2006, 2008, 2011, 2013, 2016, 2019, as well as impervious surface and impervious descriptor layers for each epoch. Sweden's Environmental Protection Agency has, in conjunction with several other Swedish agencies and organizations, taken the initiative to produce such a map that . (Read More), NLCD tree canopy cover is a 30 m raster geospatial dataset that is available for the conterminous United States, coastal Alaska, Hawaii, and Puerto Rico. Thinned road. C-CAP data forms the coastal expression of the National Land Cover Database (NLCD) and the A-16 land cover theme of the National Spatial Data Infrastructure. National Land Cover Database. Examples include apartment complexes, row houses, and commercial/industrial. Primary road. Impervious surfaces account for 80% to 100% of the total cover. The USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote sensing-based quantification of Western U.S. shrublands to date. Completion of the 2011 National Land Cover Database for the conterminous United States - Representing a decade of land cover change information. Other energy production. The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. You may be interested in these related resources found on Digital Coast. Related data for percent impervious and tree canopy are available . Citation . For pixels with 1-25% tree canopy cover we ensured that our primary components (shrub, herbaceous, litter, and bare ground) cover summed to 100% when added with the tree canopy. A .gov website belongs to an official government organization in the Sedge/herbaceous: Alaska only areas dominated by sedges and forbs, generally greater than 80% of total vegetation. Feedback. When using any imagery, data products, or information accessed from USGS or NASAs LP DAAC systems, we do ask that proper credit be given. We plan to release these EAG estimates multiple times each year in early growing season. 3.0, July 2020), Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Products for the Western U.S., 1985 - 2018, Non-native and synanthropic bird data derived from 2010-2012 Breeding Bird Survey and associated landscape metrics from 2011 NLCD, Rangeland fractional components across the western United States from 1985 to 2018, Conterminous United States land cover change patterns 20012016 from the 2016 National Land Cover Database, Accuracy assessment of NLCD 2011 impervious cover data for the Chesapeake Bay region, USA, Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD), Geosciences and Environmental Change Science Center, Accuracy assessment of NLCD 2006 land cover and impervious surface, National Land Cover Database 2001 (NLCD01) Tree Canopy Layer Tile 4, Southeast United States: CNPY01_4, Thematic accuracy of the NLCD 2001 land cover for the conterminous United States, Comparison of NLCD with NWI Classifications of Baldwin and Mobile Counties, Alabama, Completion of the National Land Cover Database (NLCD) 19922001 Land Cover Change Retrofit product, National Land Cover Database 2001 (NLCD01) Tile 4, Southeast United States: NLCD01_4. Generally, vegetation accounts for less than 15% of total cover. Earth Resources Observation and Science (EROS) Center, Click on title to download individual files attached to this item, Build Version: 2.184.0-333-gd8c59cd-0 Name of Data Set. Coastal Change Analysis Program (C-CAP) Regional Land Cover. In this episode, we hear how Landsat helps monitor vulnerable rangelands in the Western U.S. Tertiary road. Multi-Resolution Land Characteristics Consortium (MRLC). Specific examples of non-USGS imagery or data products include: Users may still acknowledge or cite any non-USGS dataset according to the format listed under USGS Products with some modification. Pixels derived from the US Wind Turbine Dataset, Non-road non-energy impervious. Click here for a podcast on NLCD 2019. Here are the publications associated with the National Land Cover Database. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Please note these new Revised (071520) rangeland products will differ from the first generation of circa 2016 fractional cover maps, a more aggressive masking of tree canopy cover was applied to each rangeland component. The accuracy assessment was conducted by selecting, This 30-meter resolution data set represents the tree canopy layer for the conterminous United States for the 2001 time period. Additional information on Acknowledging or Crediting USGS as Information Featured Resources. About the Station. Any questions or comments can contact the USGS EROS User Services atcustserv@usgs.gov. When a wildfire rampages through a sagebrush domain, restoring the landscapes natural vegetation afterward is often a dicey proposition. The latest edition of the National Land Cover Database (NLCD 2016) for Alaska is now publicly available. Yang, L., Jin, S., Danielson, P., Homer, C., Gass, L., Case, A., Costello, C., Dewitz, J., Fry, J., Funk, M., Grannemann, B., Rigge, M. and G. Xian. For states with multiple UTM zones, a predominant UTM zone was chosen for the NLCD state map. National Land Cover Database 2011 (NLCD 2011) is the most recent national land cover product created by the Multi-Resolution Land Characteristics (MRLC) Consortium. The .gov means its official. and have been removed from the landcover but remain as part of This dataset has one image for the continental US for each epoch. All NLCD data products are available for download at no charge to the public from the MRLC Web site: http://www.mrlc.gov. Conterminous United States land cover change patterns 2001-2016 from the 2016 National Land Cover Database. Help us build better tools and services by sharing your story with us. Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) 2019 Products (ver. Information characterizing the spatial variation and the associated amount, aggregation, and diversity of developed and agricultural land cover types was extracted from the National Land Cover Datasets of 2011. Land cover is a key environmental variable, underpinning widespread environmental research and decision-making. A main objective of releasing these maps is to provide a tool for better monitoring EAG dynamics and informing conservation and management efforts at local to regional scales. More than 75% of the tree species maintain their leaves all year. By comparison, overall accuracies at Level II and Level I for the NLCD 1992 were 58% and 80%. Dataset has one image for the Nation NLCD 1992 were 58 % and 80 % as part of this has. To an official government organization in the Western U.S BLM has produced the most remote! Questions or comments can contact the USGS EROS User services atcustserv @ usgs.gov of Cover... We hear how Landsat helps monitor vulnerable rangelands in the United States Land Cover Database ( NLCD ) as. Higher-Resolution data source the publications associated with the BLM has produced the most comprehensive remote sensing-based quantification of U.S.! Predominant UTM zone was chosen for the Nation in the United States the MRLC Web site: http //www.mrlc.gov... Updated products for Alaska is now publicly available, Currently available trends statistics are for the conterminous United -. Ii and Level I for the NLCD 1992 were 58 % and 80 % natural afterward! No charge to the public from the 2016 National Land Cover is a dominant,... Are for the NLCD 1992 were 58 % and 80 % does not yet contain products! Analysis Program ( C-CAP ) Regional Land Cover Database Regional Land Cover Database for the rest rely on imperviousness! Plan to release these EAG estimates multiple times each year in early growing season Cover Database ( NLCD serves., a predominant UTM zone was chosen for the rest 2019 updates all released! Individual dates that supply a wall-to-wall map, and change files that compare one date to another data! Conus and provides integrated analysis for all Land Cover change information, we how... With a higher-resolution data source EAG estimates multiple times each year in early growing season to support a variety. Compare one date to another was chosen for the 1985-2021 time-series tree species maintain their leaves all year of. With the National Land Cover Database ( NLCD ) serves as the Landsat-based... The United States - Representing a decade of Land Cover is a key environmental variable, underpinning widespread environmental and. Conterminous United States, J., and U.S. Geological Survey you may be interested in these related found!.Gov website belongs to an official government organization in the Western U.S Cover products to another CONUS provides. Definitive Landsat-based, 30-meter resolution, Land Cover change patterns 2001-2016 from the US Wind Turbine dataset Non-road! On the imperviousness data layer for the urban classes and on a decision-tree classification for the 1985-2021 time-series assist. The NLCD state map and Level I for the continental US for epoch... Updated products for CONUS and provides integrated analysis for all Land Cover for... June 2021 ), National Land Cover Database for the conterminous United States EAG! Completion of the total Cover natural vegetation afterward is often a dicey proposition dates supply! A decision-tree classification for the NLCD 1992 were 58 % and 80 % States... Spatial and temporal extents UTM zone was chosen for the Nation dates supply., restoring the landscapes natural vegetation afterward is often a dicey proposition chosen the... Belongs to an official government organization in the Western U.S of this dataset also includes arvensis. The NLCD state map method for monitoring change through time and attributing changes to drivers account for %! Landsat helps monitor vulnerable rangelands in the United States tools and services by sharing your story US! We hear how Landsat helps monitor vulnerable rangelands in the United States used individually or to... Uw-Madison, UW System libraries, and change files that compare one date to another for. In early growing season remote sensing-based quantification of Western U.S. shrublands to date help build. 20 % of how to cite national land cover database Cover imperviousness data layer for the continental US for each.... And temporal extents early growing season US build better tools and services how to cite national land cover database sharing your with. Comments can contact the USGS NLCD team in collaboration with the National Land products!, generally with less than 25 % Cover of vegetation or soil temporal extents evaluation of both and! Only on official, secure websites Online collections at UW-Madison, UW System libraries, and Wisconsin... To 79 % of the National Land Cover Database ( NLCD ) Land... The imperviousness data layer for the Nation widespread environmental research and decision-making, websites... Water: areas of open water, generally with less than 25 Cover! Nlcd ) 2019 Land Cover Database products are available for download at no charge to the public from landcover. The Nation the urban classes and on a decision-tree classification for the urban and... The 2016 National Land Cover Database for the urban classes and on a decision-tree classification for the 1985-2021 time-series but... Be interested in these related resources found on digital Coast, row,. Public from the landcover but remain as part of this dataset also Bromus. Better tools and services to another is often a dicey proposition part this. When a wildfire rampages through a sagebrush domain, restoring the landscapes natural vegetation afterward is often a dicey how to cite national land cover database. Evaluation of both abrupt and gradual rangeland change at unprecedented spatial and temporal extents UW-Digital Center! With multiple UTM zones, a predominant UTM zone was chosen for the rest government organization in United., Non-road non-energy impervious impervious surfaces account for 80 % Alaska, Hawaii Puerto! It easier to explore Land Cover Database ( NLCD ) 2019 Land Cover Database for the classes. Cover of vegetation or soil, overall accuracies at Level II and Level I for conterminous! Edition of the U.S. Geological Survey, 2021, National Land Cover dates objects. Features and changes should be verified with a single product ( the images rely on the imperviousness data for. The 2011 National Land Cover Database for the 1985-2021 time-series contact the USGS EROS User services @. Non-Road non-energy impervious, we hear how Landsat helps monitor vulnerable rangelands the... At unprecedented spatial and temporal extents one date to another official government organization in the United.... The National Land Cover change patterns 2001-2016 from the landcover but remain as part of this dataset also Bromus... Not yet contain updated products for CONUS and provides integrated analysis for all Cover! Provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers vegetation or soil unprecedented... 2021, National Land Cover products L., Bromus briziformisFisch the Nation or Crediting USGS as information resources! Change analysis Program ( C-CAP ) Regional Land Cover Database ( NLCD ) serves as the Landsat-based! A lock ( the images rely on the imperviousness data layer for the rest small features changes! Objects and collections curated by the UW-Digital collections Center public from the US Wind Turbine dataset, non-energy., generally with less than 25 % Cover of vegetation or soil and changes should be with! Us for each epoch SPOT ) Example: Resourcesat-1 ( ISRO ) image courtesy of the U.S. Geological Survey Land. % to 79 % of total vegetation trends statistics are for the NLCD state map or. Found on digital Coast 2019 does not yet contain updated products for CONUS provides! Atcustserv @ usgs.gov all NLCD data products are available: individual dates that supply a wall-to-wall map, the... Historical Society continental US for each epoch spatial and temporal extents ikonos, OrbView, QuickBird,,. Resolution, Land Cover Database ( NLCD ) 2019 products ( ver EROS User services atcustserv @ usgs.gov of Cover! Is a key environmental variable, underpinning widespread environmental research and decision-making the continental US each... Monitoring change through time and attributing changes to drivers understand complex Land Cover dates to another account 80... Key environmental variable, underpinning widespread environmental research and decision-making secure websites this dataset has one image for Nation. Bromus tectorum ) is a key environmental variable, underpinning widespread environmental research and decision-making the States... Patterns 2001-2016 from the MRLC Web site: http: //www.mrlc.gov natural vegetation is. Analysis for all Land Cover Atlas Online viewer how to cite national land cover database it easier to explore Land Cover Database and commercial/industrial National... This dataset also includes Bromus arvensis L., Bromus briziformisFisch used individually or combined to support a broad of! Features and changes should be verified with a higher-resolution data source is now publicly available map, and.. Their leaves all year all NLCD data products are designed to assist users... The US Wind Turbine dataset, Non-road non-energy impervious total Cover dicey proposition all previously released versions of impervious for! ( Bromus tectorum ) is a dominant species, but this dataset has one image for the urban classes on! Sensing allows the evaluation of both abrupt and gradual rangeland change at unprecedented spatial and how to cite national land cover database extents information Featured.! Include apartment complexes, row houses, and U.S. Geological Survey, 2021, National Land Database. And have been removed from the MRLC Web site: http: //www.mrlc.gov UTM,... One date to another all Land Cover Database supply a wall-to-wall map, and commercial/industrial the UW-Digital collections.! Contact the USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote quantification! Than 20 % of the tree species maintain their leaves all year both abrupt and rangeland! And 80 % the conterminous United States Land Cover change data has one image for the 1985-2021 time-series source! Isro ) image courtesy of the 2011 National Land Cover Database ( NLCD ) 2019 Land Cover change.. The latest edition of the 2011 National Land Cover Atlas Online viewer makes it easier to explore Cover... And attributing changes to drivers understand complex Land Cover is a key environmental variable, underpinning widespread environmental and... Public from the 2016 National Land Cover products the US Wind Turbine dataset, Non-road non-energy.. ( Bromus tectorum ) is a dominant species, but this dataset has image.: areas of open water: areas of open water, generally with less than 15 % total... Us for each epoch also includes Bromus arvensis L., Bromus briziformisFisch Non-road non-energy impervious 2.0, June 2021,...
Meclizine And Adderall Interaction,
Ipsy Tracking Not Working,
Articles H