Open water: areas of open water, generally with less than 25% cover of vegetation or soil. See the USGS Visual Identity System Guidance for further details on proper citation and acknowledgement of USGS products. NLCD provides spatial reference and descriptive data for characteristics of the land surface such as thematic class (e.g., urban, agriculture, and forest), percent impervious surface, and percent tree canopy cover. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. Pixels derived from the Microsoft US Building Official websites use .gov These areas are not subject to intensive management such as tilling, but can be utilized for grazing. This dataset has one image , USGS/NLCD_RELEASES/2019_REL/NLCD, These areas most commonly include large-lot single-family housing units, parks, golf courses, and vegetation planted in developed settings for recreation, erosion control, or aesthetic purposes. More than 75% of the tree species maintain their leaves all year. Dwarf scrub: Alaska only areas dominated by shrubs less than 20 centimeters tall with shrub canopy typically greater than 20% of total vegetation. Impervious surfaces account for 50% to 79% of the total cover. The U.S. Geological Survey (USGS), in collaboration with the MRLC consortium and Bureau of Land Management (BLM), is pleased to announce the availability of a new generation of Rangeland, Condition, Monitoring, Assessment, and Projection (RCMAP) fractional component data spanning a 1985-2021 time-series. The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. All images include the landcover classification scheme described in the Product Legend. Photogrammetric Engineering and Remote Sensing 81(5), 345-354. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=309950. 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. Some specific examples of USGS products would include: Acknowledgement or credit of the USGS as data source should be provided by including a line of text citation such as the example shown below. Grassland/herbaceous: areas dominated by gramanoid or herbaceous vegetation, generally greater than 80% of total vegetation. 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 USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote sensing-based quantification of Western U.S. shrublands to date. 2001, ca. Citation. Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, broughtto you by the USGS Earth Resources Observation and Science (EROS) Center. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, tree, sagebrush and shrub, rule-based error maps, and the temporal trends of each. Cultivated crops: areas used for the production of annual crops, such as corn, soybeans, vegetables, tobacco, and cotton, and also perennial woody crops such as orchards and vineyards. 2.0, June 2021), National Land Cover Database (NLCD) 2019 Land Cover Products. LCMAP impervious. Nationally standardized, raster-based inventories of land cover for the coastal areas of the U.S. Data are derived, through the Coastal Change Analysis Program, from the analysis of multiple dates of remotely sensed imagery. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. 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. Bloomberg. For access to dynamic MRLC viewer applications and tools, click (here). Quantifying Western U.S. shrublands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. Conterminous United States land cover change patterns 2001-2016 from the 2016 National Land Cover Database. https://doi.org/10.1016/j.isprsjprs.2020.02.019. While efforts have been made to ensure that these data are accurate and reliable within the limits of current technology, NOAA cannot assume liability for any damages or misrepresentations caused by inaccuracies in the data, or as a result of the data to be used on a particular system. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land []. Note: These citations are software generated and may contain errors. The latest available version of NLCD (NLCD 2016) quantified the United States land surface for land cover, percent impervious surface, and percent tree canopy cover from 2001 through 2016 at 2- to 3-year intervals. Developed, medium intensity: areas with a mixture of constructed materials and vegetation. versions of NLCD. This dataset has one image for the continental US for each epoch. Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) Federal government websites often end in .gov or .mil. These products have been produced by USGS in collaboration with the Bureau of Land Management. This index provides a simple and comprehensive way to visualize change from all 8dates of land cover in a single layer. 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. The data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information System, browse graphic: nlcd01-partition.jpg The National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Mul, The land-cover thematic accuracy of NLCD 2001 was assessed from a probability-sample of 15,000pixels. NLCD 2011 provides - for the first time - the capability to assess wall-to-wall, spatially explicit, national land cover changes and trends across the United States from 2001 to . Multi-Resolution Land Characteristics Consortium (MRLC). The NLCD 2019 land cover product uses Landsat composites derived from Landsat Analysis Ready Data (ARD) and a complex, multi-step modeling process to provide an update of U.S. land cover based on 2019 imagery. Systematically aligned over time . (Read More), RCMAP base component products characterize the percentage of each 30-meter pixel in the Western United States covered by shrub, herbaceous, bare ground, litter, sagebrush, big sagebrush and annual herbaceous, along with estimating shrub height and sagebrush height. Download the NLCD Land Cover Classification Legend. database spanning 8 epochs 2011 and 2016 Forest canopy products are available for the Continental United States, coastal Alaska, Hawaii, and Puerto Rico. The goal of this project is to provide the Nation with complete, current, and consistent public domain information on its land use and land cover. To continue the legacy of NLCD and further establish a long . Well pads. EAG is a continuous field consisting of abundance of non-native grass species whose life history is complete in one growing season. (Read More), NLCD imperviousness products represent urban impervious surfaces as a percentage of developed surface over every 30-meter pixel in the United States. Search the physical and online collections at UW-Madison, UW System libraries, and the Wisconsin Historical Society. The change index was designed to assist NLCD users to understand complex land cover change with a single product. And, for the secondary components (sagebrush, big sagebrush, sagebrush height and shrub height) we reconciled to the primary component (shrub), excluding any pinyon-juniper woodlands. accessed on 1/9/2020. Lichens: Alaska only areas dominated by fruticose or foliose lichens generally greater than 80% of total vegetation. The latest edition of the National Land Cover Database (NLCD 2016) for Alaska is now publicly available. Microsoft buildings. https://data.nal.usda.gov/dataset/national-land-cover-database-2011-nlcd-2011. The National Land Cover Database (NLCD) provides nationwide data on land cover and land cover change at the native 30-m spatial resolution of the Landsat Thematic Mapper (TM). ) or https:// means youve safely connected to the .gov website. 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). Additional Information Basics Specific examples of LP DAAC datasets would include: The appropriate citation of NASAs LP DAAC datasets are product-specific and should follow the Digital Object Identifier (DOI) string standard. Data characterize the percentage of each 30-meter pixel in the Western United States covered by each component for each year from 1985-2021 - providing change information for 35 years (imagery for 2012 was unavailable). Moderate Resolution Imaging Spectroradiometer (MODIS), National Aerial Photography Program (NAPP), Earth Resources Observation and Science (EROS) Center, 12201 Sunrise Valley Drive Reston, VA 20192, Advanced Spaceborne Thermal Emission and Reflection Radiometer (, Moderate Resolution Imaging Spectroradiometer (, Visible Infrared Imaging Radiometer Suite (, Making Earth System Data Records for Use in Research Environments (. 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. We have developed a mask (see below) to apply to the future sagebrush cover layers. NLCD provides spatial reference and descriptive data for characteristics of the land surface such as thematic class (for example, urban, agriculture, and forest), percent impervious surface, and percent tree canopy cover. A lock () or https:// means youve safely connected to the .gov website. NLCDis used for thousands of applications that require information on landcover location or where it is changing. The UK Centre for Ecology and Hydrology (UKCEH) have provided reliable land cover information since the early 1990's; this supports multiple scientific, government and commercial objectives. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. Substantial differences in imagery, legends, and methods between these two land cover products must be overcome in order to support direct comparison. Footprints dataset. 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. Pixels derived from the US Wind Turbine Dataset, NLCD 1992 is a 21-class land cover classification scheme that . Non-interstate highways. Click on title to download individual files attached to this item. Small tertiary roads that generally are not paved In this episode, we talk about the National Land Cover Database. dataset from the Oak Ridge National Laboratory. Create, load, and plot vector data types, or "features" Filter features based on associated data or on spatial location Perform geometric operations on polygons Load, manipulate, and extract raster data Top of Section R Packages The key R packages for this lesson are sf stars OSGeo Dependencies Most R packages depend on other R packages. Specifically, we have lowered the tree canopy cover threshold for exclusion from 40 to 25%. Pixels were You may be interested in these related resources found on Digital Coast. 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. We plan to release these EAG estimates multiple times each year in early growing season. Child Items (3) National Land Cover Database (NLCD) 2019 Impervious Products National Land Cover Database 2011 (NLCD 2011). Download the Land Cover Classification Legend and Description. Impervious surfaces account for 80% to 100% of the total cover. For states with multiple UTM zones, a predominant UTM zone was chosen for the NLCD state map. See included spatial metadata for more details. impervious process, and not included in the nonroad impervious Multi-Resolution Land Characteristics Consortium (U.S.). (Read More), RCMAP projected cover products characterize the fractional (i.e. NLCD 2016 Product Highlights National Land Cover Database (NLCD) 2020. Developed classes in these years are directly derived from percent developed impervious surface and include a descriptor label that identifies the type of each impervious surface pixel. Thinned road. 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. 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. Earth Engine is free to use for research, education, and nonprofit use. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.