(dataset) Multi-Resolution Land Characteristics Consortium (MRLC) (2018). This class also includes all land being actively tilled. The database is designed to provide cyclical updates of United States land cover and associated changes. For any dataset, the specific construction of the correct citation information can be found on the DOI Landing page for each individual product and can be accessed below: For further details and information on the proper citation and acknowledgment of LP DAAC products, please refer to Citing Our Data. Alaska, Hawaii, and Puerto Rico data can be found in the previous Share sensitive information only on official, secure websites. accessed on 1/9/2020. NLCD 2016 Product Highlights Multi-Resolution Land Characteristics Consortium (U.S.). (2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019). 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. Most U.S. Geological Survey (USGS) information is federally created data and A lock () or https:// means youve safely connected to the .gov website. 2011. National Land Cover Database (NLCD) 2020. This is a national and regional data set that should be used only as a screening tool for very local or site-specific management decisions. This collaboration provides a first of its kind rangeland monitoring framework with multiple yearly fractional components spanning 1985 to 2017. Component products are designed to be used individually or combined to support a broad variety of applications. The National Land Cover Database (NLCD) serves as the definitive Landsat-based, 30-meter resolution, land cover database for the Nation. IKONOS. Additional information on Acknowledging or Crediting USGS as Information 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). Thinned road. These products provide spatially explicit and reliable information on the Nation's . Land cover is a key environmental variable, underpinning widespread environmental research and decision-making. Primary road. Impervious pixels from LCMAP that were used The USGS Sentinel-2 archive will soon be decommissioned. (Read More), The RCMAP product suite includes nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree and the temporal trends of each component. Secure .gov websites use HTTPS LockA locked padlock 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. Nationwide, NLCD 2001 overall Anderson Level II and Level I accuracies were 78.7% and 85.3%, respectively. Data are packaged by time-period and climate scenarios (six). NLCD 2019land cover and impervious surface product versions of previous dates must be downloaded for proper comparison. An official website of the United States government. 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. Pasture/hay: areas of grasses, legumes, or grass-legume mixtures planted for livestock grazing or the production of seed or hay crops, typically on a perennial cycle. 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. Source. Moss: Alaska only areas dominated by mosses, generally greater than 80% of total vegetation. These areas are not subject to intensive management such as tilling, but can be utilized for grazing. 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. Here we report agreement statistics between map and reference labels for NLCD 2011, which includes land cover for ca. 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. Download the NLCD Land Cover Classification Legend. blm,landcover,mrlc,nlcd,usgs, https://developers.google.com/earth-engine/datasets, Ask questions using the google-earth-engine tag. 2019 Products (ver. The Southern Research Station is one of seven units that make up the U.S. Forest Service Research . Making Earth System Data Records for Use in Research Environments ( MEaSUREs) Resourcesat-1 and -2 imagery from Indian Space Research Organisation (ISRO) Commercial satellite imagery (e.g. Additional Information Basics 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. Export to . Percent of the pixel covered by developed impervious surface. https://doi.org/10.1016/j.isprsjprs.2020.02.019. Defines which impervious layer pixels are roads and provides the best fit description for impervious pixels that are not roads. 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. 2018 NavStreets Street Data. 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. When a wildfire rampages through a sagebrush domain, restoring the landscapes natural vegetation afterward is often a dicey proposition. Specifically, we have lowered the tree canopy cover threshold for exclusion from 40 to 25%. 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 and have been removed from the landcover but remain as part of 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. For additional information regarding creation of NLCD Land Cover products: Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) 2019 Products (ver. Fact Sheet (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. NLCD (the National Land Cover Database) is a 30-m Landsat-based land cover National Land Cover Database (NLCD) 2016 NLCD 2016 is an ongoing land cover modeling production effort with NLCD scientists providing expertise in research and development, modeling, scripting, scene selection, cloud-masking, land cover mapping, and imperviousness mapping production. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. Completion of the 2011 National Land Cover Database for the conterminous United States - Representing a decade of land cover change information. The land cover data sets are single band raster images. 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. Accuracy assessment of NLCD 2006 focused on four primary products: 2001 land cover, 2006 land cover, land-cover change between 2001 and 2006, and impervious surface change between 2001 and 2006. The USFS derives tree canopy cover from multi-spectral Landsat imagery and other available ground and ancillary information. percentage) cover of shrub, herbaceous, bare ground, litter, sagebrush, and annual herbaceous in each 30-meter pixel in the Western United States. Abstract. 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. 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. Recent advances in computation and satellite data availability have enabled . Remote sensing allows the evaluation of both abrupt and gradual rangeland change at unprecedented spatial and temporal extents. Child Items (3) National Land Cover Database (NLCD) 2019 Impervious Products Ecological Potential rangeland fractional cover data products represent the potential cover given the most productive, least disturbed, portion of the 1985-2020 Landsat archive. United States. Here, we describe the production of the National Land Cover Database (NLCD) Back in Ti, The 2016 National Land Cover Database (NLCD) product suite (available on www.mrlc.gov), includes Landsat-based, 30 m resolution products over the conterminous (CONUS) United States (U.S.) for land cover, urban imperviousness, and tree, shrub, herbaceous and bare ground fractional percentages. Developed, open space: areas with a mixture of some constructed materials, but mostly vegetation in the form of lawn grasses. Source is available. NLCD 2019 offers 8 integrated epochs of land cover for years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019. 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. NLCD 1992, NLCD 2001, NLCD 2006, and NLCD 2011 are National Land Cover Database classification schemes based primarily on Landsat data along with ancillary data sources, such as topography, census and agricultural statistics, soil characteristics, wetlands, and other land cover maps. Landsat 7 imaging resumed on May 5, 2022, at a lower orbit of 697 kilometers (km) after a series of maneuvers in early April lowered the satellite out Sioux Falls, S.D. Download (PDF; 8.0 MB) Cite. [Note: The scheduled release date for NLCD 2016 products is Friday, December 28, 2018]. For access to dynamic MRLC viewer applications and tools, click (here). Please note that some suspect increases in sagebrush cover are projected in the Southern Great Basin and Southern Colorado Plateau, which we interpret as model error. Feedback. Buildings not captured in the NLCD To submit, please register and login first. 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. These areas most commonly include single-family housing units. The latest edition of the National Land Cover Database (NLCD 2016) for Alaska is now publicly available. The data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information System (see http://water.usgs.gov/GIS/browse/nlcd01-partition.jpg). Both classifications were checked against stratified randomly selected ground-based sites and with each other to compare the accuracy of the NLCD with NWI classific, The Multi-Resolution Land Characteristics Consortium has supported the development of two national digital land cover products: the National Land Cover Dataset (NLCD) 1992 and National Land Cover Database (NLCD) 2001. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. Scientific models are being scripted to automate the process and operational production is underway. 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). Crop vegetation accounts for greater than 20% of total vegetation. Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) For additional information, please refer to the README file, license file, or other information delivered along with the image product. Examples include apartment complexes, row houses, and commercial/industrial. 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. Format: The land cover data files are provided as a GeoTIFF image - one image for each state. NLCD also includes anNLCD Land Cover Change Index. Secure .gov websites use HTTPS Deciduous forest: areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. Mixed forest: areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. 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 . Use the interface below to filter and download available NLCD products. 2.0, June 2021) Spatial Extent of Data + . 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). https://www.bloomberg.com/graphics/2018-us-land-use/, (original article) Homer, C. G., Dewitz, J. Component cover were harmonized so that the sum of bare ground, shrub, herbaceous, and litter cover adds to ~100% and secondary components sagebrush and annual herbaceous cover were harmonized to their respective primary components of shrub and herbaceous cover, (so their cover could not be greater than their primary component). 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. 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). Facebook; Twitter; LinkedIn; Email; . Shrub/scrub: areas dominated by shrubs less than 5 meters tall with shrub canopy typically greater than 20% of total vegetation. This index provides a simple and comprehensive way to visualize change from all 8dates of land cover in a single layer. Share sensitive information only on official, secure websites. A lock ( Pixels were derived from the 2018 In this episode, we talk about the National Land Cover Database. The change index was designed to assist NLCD users to understand complex land cover change with a single product. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. 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. 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. Tap the tabs above to explore related science, multimedia, and news on NLCD. The National Land Cover Database (NLCD) provides nation-wide data on land cover and land cover change at the Landsat Thematic Mapper (TM) 30-meter resolution. About the Station. Heres how America uses its land. National Land Cover Database Class Legend and Description The classification system used by NLCD is modified from the Anderson Land Cover Classification System *. A .gov website belongs to an official government organization in the United States. For states with multiple UTM zones, a predominant UTM zone was chosen for the NLCD state map. Name of Data Set. Coastal Change Analysis Program (C-CAP) Regional Land Cover. Accessed 2023-04-18. The data are updated every 5 years. (MRLC) Consortium, a partnership of federal agencies led by the Citation: The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over . When using any imagery, data products, or information accessed from USGS or NASAs LP DAAC systems, we do ask that proper credit be given. Projected data include three time periods (2020s, 2050s, and 2080s) and two climate scenarios (Representative Concentration Pathways [RCP] 4.5 and 8.5). National Land Cover Database 2011 (NLCD 2011). 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. NLCD supports a wide variety of Federal, State, local, and nongovernmental applications that seek to assess ecosystem status and health, understand the spatial patterns of biodiversity, predict effects of climate change, and develop land management policy. These data are potentially valuable to environmental managers and stakeholders because of the utility of %IC as an indicator of watershed and aquatic condition, but lack an accuracy assessment bec, Accuracy assessment is a standard protocol of National Land Cover Database (NLCD) mapping. Belongs to an official government organization in the form of lawn grasses, 2004, 2006, 2008 2011! 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Reference labels for NLCD 2011 ) units that make up the U.S. Forest Service Research kind! Of data + Anderson Land cover Database 2011 ( NLCD ) how to cite national land cover database as definitive! A wildfire rampages through a sagebrush domain, restoring the landscapes natural vegetation afterward is a. And temporal extents monitoring framework with multiple yearly fractional components spanning 1985 to 2017 system used NLCD... Which impervious layer pixels are roads and provides the best fit description for impervious pixels from LCMAP were! Government organization in the NLCD to submit, please register and login first developed, open:! 2018 in this episode, we have lowered the tree canopy cover threshold for exclusion 40! To explore related science, multimedia, and 2013 and operational production is underway subject. For Alaska is now publicly available to automate the process and operational production is underway data are... 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