Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) NLCD's impervious surface descriptor product identifies types of roads, core urban areas, and energy production sites for each impervious pixel to allow deeper analysis of developed features. All images include the landcover classification scheme described in the Product Legend. Conterminous United States land cover change patterns 2001-2016 from the 2016 National Land Cover Database. 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. 2011. Models used to predict Ecological Potential cover were trained on ecologically intact sites where annual herbaceous cover is low, no known disturbance or land treatment has occurred over the study period, and bare ground cover is relatively lower than expectations (Read More), RCMAP - Future Projections - 2020s, 2050s, and 2080s. Download (PDF; 8.0 MB) Cite. Sample NLCD map Website Pointer to National Land Cover Database 2011 (NLCD 2011), https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=309950, https://www.bloomberg.com/graphics/2018-us-land-use/, https://data.nal.usda.gov/dataset/national-land-cover-database-2011-nlcd-2011, National Agricultural Library Thesaurus Term, National Land Cover Database 2011 (NLCD 2011). 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. Multi-Resolution Land Characteristics Consortium (U.S.). Official websites use .gov 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. United States. Accessed 2023-04-18. Crop Water Productivity of the Worlds Leading Crops, Global Cropland Extent Product at 30 meters (GCEP30), Global Hyperspectral Imaging Spectral-library of Agricultural-Crops, Measuring Environmental Impacts of Winter Cover Crops, Structure from Motion Modeling Using Unmanned Aircraft Systems to Support Paleontological Surveys, Developing Bare-Earth Digital Elevation Models from Structure from Motion Data on Barrier Islands, Mapping Habitats in Beach, Dune, and Intertidal Environments, Mapping High Marsh along the Northern Gulf of Mexico Coast, Multibeam Bathymetry and Terrestrial Lidar for Embankment Assessments, Retrieval of Intertidal Biofilm Quantity and Nutritional Quality through Field Spectroscopy, Quantifying Droughts Influence on Moist Soil Seed Vegetation, Quantifying Livestock Forage to Inform Drought Strategies, Big Oaks National Wildlife Refuge 4-Band Aerial Imagery Collection, Identifying Forest Canopy Gaps Using Satellite and Aerial Imagery, Identifying Tipping Points in Sagebrush Ecosystems, Katahdin Woods and Waters National Monument 4-Band Aerial Collection, Water Use and Land Cover in the Delaware River Basin, Innovative Technologies to Monitor a New Crater Lake at Klauea Volcano, Monitoring Volcanic Degassing at Mount St. Helens, Surface Deformation Resulting from the Ridgecrest Earthquakes, Advancing a Three-Dimensional Burn Severity Mapping Capacity, LANDFIRE 2016 Remap and Year Capable Fuels, Monitoring Trends in Burn Severity Program Celebrates 15 Years of Operational Wildfire Mapping, Pre-fire and Post-fire Lidar Burn Severity Analysis, Supporting Burned Area Emergency Response Teams, USGS Fire Danger Forecast Program Updates and Expanded Capabilities, A Spatiotemporal Invasive Annual Cover Dataset, Controlling Invasive Grasses, Understanding Fire Risks and Behavior, and Aiding Conservation, Development of an Underwater Acoustic Deterrent System for Asian Carp, Quantitative Mapping of Phragmites australis Live Fractional Cover, Applying Images from Multiple Satellites to Compile a More Comprehensive Record of Past Floods, Geomorphic Change Detection Using Drone-based Lidar on Fountain Creek, Colorado, Historical Land Cover Reconstruction and Future Projections, Phenology Metrics Indicate Direction of Vegetation Recovery in Post-fire Ponderosa Pine Forests, Quantifying Change in Woodland Canopy Cover, Two Decades of Changes in Vegetation Greenness and Water Use in the Colorado River Delta, Mineral Mapping of Lithium-rich Playas for Lithium Mineral Assessment, Alaska Statewide Interferometric Synthetic Aperture Radar (InSAR) Elevation Data and Satellite Imagery Status, Landsat Collection 2: Advancing Interoperability of the Global Landsat Archive, Rangeland Fractional Components Across the Western United States, Release of On-demand Landsat Collection 1 Provisional Actual Evapotranspiration and Aquatic Reflectance, Solar/sensor Geometry Controls on Satellite NDVI, Subsurface Geophysical Mapping Using Airborne Electromagnetics, EROS Cal/Val Center of Excellence (ECCOE), Using Imagery to Crowdsource The National Map, Geomorphons of the Klamath River Prior to Dam Removal, Vegetation Response to Watershed Restoration, 21st Century Surface Water Trends for the United States, 3D Topobathymetric Digital Elevation Model for Lake Powell Storage Capacity Assessment, A Multidisciplinary Effort to Map the Bathymetry of the Potomac River, Time Series Remote Sensing of Surface Water and Wetland Dynamics, Using Machine Learning Approaches to Water Presence in Streams, Water Use Mapping at the Landsat Scale for the Nation, High-Resolution Temporal and Spatial Mapping of Mercury and Methylmercury in Surface Waters, Multiscale Hyperspectral Imaging of Harmful Algal Blooms (HABs), Satellite Monitoring of Algal Blooms in Idaho Waterbodies, 60 Years of Deer Yarding in a Wolf-Deer System, Automated Detection of Wildlife Targets in Aerial Imagery, Automated Telemetry to Understand Habitat Use and Movement Ecology, Distribution of Migratory Landbirds around the Gulf of Mexico, Feral Hog Survey Using High-Resolution Thermal Infrared Imagery, Modeling Marine Bird Habitat in the Northern Gulf of Mexico, Waterfowl Migration Monitoring Using Cloud-Based Technologies. The two main objectives were assessment of agreement between map and reference labels for the three, single-date NLCD land cover products at Level II and Level I, Release of NLCD 2006 provides the first wall-to-wall land-cover change database for the conterminous United States from Landsat Thematic Mapper (TM) data. (Read More), RCMAP projected cover products characterize the fractional (i.e. The images rely on the imperviousness data layer for the A., Yang, L., Jin, S., Danielson, P., Xian, G., Coulston, J., Herold, N. D., Wickham, J. D., & Megown, K. (2015). Featured Resources. The USGS EROS Center systems provide access to a variety of products from USGS sources. 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. Most of the images, data, and related products available from the USGS Earth Resources Observation and Science (EROS) Center, which also contains the NASALand Processed Distributed Active Archive Center (LP DAAC), are federally created data and therefore reside in the public domain and may be used, transferred, or reproduced without copyright restriction. 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. NLCD (the National Land Cover Database) is a 30-m Landsat-based land cover database spanning 8 epochs (2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019). Scientific models are being scripted to automate the process and operational production is underway. Use the interface below to filter and download available NLCD products. Heres how America uses its land. This index provides a simple and comprehensive way to visualize change from all 8dates of land cover in a single layer. Microsoft buildings. Additional information on Acknowledging or Crediting USGS as Information Completion of the 2011 National Land Cover Database for the conterminous United States - Representing a decade of land cover change information. The images rely on the imperviousness data layer for the urban classes and on a decision-tree classification for the rest. Discover digital objects and collections curated by the UW-Digital Collections Center. For access to dynamic MRLC viewer applications and tools, click (here). The Land Cover Database (LCDB), available to users of the Land Resource Information System (LRIS) portal offers environment data held by Landcare Research for re-use in GIS and other applications that can handle geospatial data for mapping, querying and spatial analyses. 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. Data supported analyses in the publicat, Monitoring temporal dynamics of rangelands to detect and understand change in vegetation cover and composition provides a wealth of information to improve management and sustainability. 2.0, June 2021): U.S. Geological Survey data release, 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. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. The National Land Cover Database (NLCD) serves as the definitive Landsat-based, 30-meter resolution, land cover database for the Nation. This dataset has one image for the continental US for each epoch. Component products are designed to be used individually or combined to support a broad variety of applications. Click here for a podcast on NLCD 2019. The latest evolution of NLCD products are designed for widespread application in biology, climate, education, land management, hydrology, environmental planning, risk and disease analysis, telecommunications and visualization. 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. Remote sensing allows the evaluation of both abrupt and gradual rangeland change at unprecedented spatial and temporal extents. Perennial ice/snow: areas characterized by a perennial cover of ice and/or snow, generally greater than 25% of total cover. Dwarf scrub: Alaska only areas dominated by shrubs less than 20 centimeters tall with shrub canopy typically greater than 20% of total vegetation. Abstract. surface class. These products provide spatially explicit and reliable information on the Nation's land cover and land cover change. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. NLCD 2019land cover and impervious surface product versions of previous dates must be downloaded for proper comparison. and have been removed from the landcover but remain as part of Download the NLCD Land Cover Classification Legend. 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 (. Wind turbines. ) or https:// means youve safely connected to the .gov website. (Read More), NLCD imperviousness products represent urban impervious surfaces as a percentage of developed surface over every 30-meter pixel in the United States. To access this dataset in Earth Engine, please sign up for Earth Engine When a wildfire rampages through a sagebrush domain, restoring the landscapes natural vegetation afterward is often a dicey proposition. (Product, Image, Photograph, or Dataset Name) courtesy of the U.S. Geological Survey. 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. doi:10.5066/P9KZCM54, NLCD (the National Land Cover Database) is a 30-m Landsat-based land cover database spanning 8 epochs (2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019). Official websites use .gov Related data for percent impervious and tree canopy are available . The NLCD 2019 is scheduled to be completed by December 2020, with public release upon data review and production of relevant metadata. The information on this page (the dataset metadata) is also available in these formats: National Land Cover Database 2011 (NLCD 2011) is the most recent national land cover product created by the Multi-Resolution Land Characteristics (MRLC) Consortium. NLCD (the National Land Cover Database) is a 30-m Landsat-based land cover Before sharing sensitive information, make sure you're on a federal government site. Well pads. User feedback on the data is encouraged. Something that many actors within the environmental field have long needed is an up-to-date, complete map of Sweden's land cover and land use. To browse or use data from this site, no account is necessary! 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). These areas most commonly include single-family housing units. These products update all previously released versions of landcover and impervious products for CONUS (NLCD 2001, NLCD 2006, NLCD 2011, NLCD 2016) and are not directly comparable to previous products. You may be interested in these related resources found on Digital Coast. Pixels derived from the US Wind Turbine Dataset, Small tertiary roads that generally are not paved Woody wetlands: areas where forest or shrubland vegetation accounts for greater than 20% of vegetative cover and the soil or substrate is periodically saturated with or covered with water. Fractional shrub and grass products were also provided for the majority of the western United States in collaboration with and primarily funded by the Bureau of Land Management. 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. This descriptor layer identifies types of roads, wind tower sites, building locations, and energy production sites to allow a deeper analysis of developed features. close. Two file types are available: individual dates that supply a wall-to-wall map, and change files that compare one date to another. The USGS EROS Center supports delivery and access systems for a variety of NASAs LP DAAC science datasets. 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. National Land Cover Database (NLCD) 2020. EROS is central to the creation of the National Land Cover Database (NLCD), which is updated every five years and stands as the definitive land cover database for the United States. 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. 24, athttps://doi.org/10.3390/rs11242971. 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. Save and categorize content based on your preferences. NLCD is generated in cooperation with the Multi-Resolution Land Characteristics Consortium (MRLC) a partnership of Federal agencies working together to produce current, nationally consistent, land cover products for all 50 states and Puerto Rico. Cheatgrass (Bromus tectorum) is a dominant species, but this dataset also includes Bromus arvensis L., Bromus briziformisFisch. Grassland/herbaceous: areas dominated by gramanoid or herbaceous vegetation, generally greater than 80% of total vegetation. The latest edition of the National Land Cover Database (NLCD 2016) for Alaska is now publicly available. These data contain percent tree canopy estimates, as a continuous variable, for each pixel across all land covers and types and are generated by the United States Forest Service (USFS). Secure .gov websites use HTTPS More than 75% of the tree species shed foliage simultaneously in response to seasonal change. 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