This dataset has one image for the continental US for each epoch. NLCD also includes anNLCD Land Cover Change Index. Completion of the 2011 National Land Cover Database for the conterminous United States - Representing a decade of land cover change information. NLCD 2019 also includes a wind energy layer across all impervious products. The NLCD 2019 is scheduled to be completed by December 2020, with public release upon data review and production of relevant metadata. 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 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. 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 . Pixels were derived from the 2018 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). EAG is a continuous field consisting of abundance of non-native grass species whose life history is complete in one growing season. 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. 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). NLCD 2019 does not yet contain updated products for Alaska, Hawaii and Puerto Rico. Impervious surfaces account for 20% to 49% percent of total cover. The classes in the product legend are given below. Pixels derived from the Microsoft US Building 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. Impervious surfaces account for less than 20% of total cover. These areas most commonly include single-family housing units. Share sensitive information only on official, secure websites. 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. NavStreets Street Data. Citation. 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. 2.0, June 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P9KZCM54, Homer, Collin G., Dewitz, Jon A., Jin, Suming, Xian, George, Costello, C., Danielson, Patrick, Gass, L., Funk, M., Wickham, J., Stehman, S., Auch, Roger F., Riitters, K. H., Conterminous United States land cover change patterns 20012016 from the 2016 National Land Cover Database: ISPRS Journal of Photogrammetry and Remote Sensing, v. 162, p. 184199, athttps://doi.org/10.1016/j.isprsjprs.2020.02.019, Jin, Suming, Homer, Collin, Yang, Limin, Danielson, Patrick, Dewitz, Jon, Li, Congcong, Zhu, Z., Xian, George, Howard, Danny, Overall methodology design for the United States National Land Cover Database 2016 products: Remote Sensing, v. 11, no. 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. This dataset has one image for the continental US for each epoch. Click (here) for NLCD Science Research Products which offer more comprehensive delineation of shrub and grass classes and information about change disturbance. Production includes ingesting partner data from 10 different Government partners and Federal agencies that are used to improve accuracy and ensure a cohesive product across these partners. 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. Charleston, SC: NOAA Office for Coastal Management. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Developed, open space: areas with a mixture of some constructed materials, but mostly vegetation in the form of lawn grasses. 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. Ecological Potential rangeland fractional cover data products represent the potential cover given the most productive, least disturbed, portion of the 1985-2020 Landsat archive. Neither deciduous nor evergreen species are greater than 75% of total tree cover. 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. The proper use and citation of imagery and products will vary according to source, and detailed information is provided in the sections below. Accessed Month Year at www.coast.noaa.gov/htdata/raster1/landcover/bulkdownload/30m_lc/. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 23-year intervals. Mixed forest: areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. Trend analysis for each component is also available as a zip file for the full 1985-2021 period to help users understand the magnitude of change. Download the per pixel estimates of percent imperviousness legend. 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). A .gov website belongs to an official government organization in the The NLCD Land Cover change index combines information from all years of land cover change and provides a simple and comprehensive way to visualize change from all 8 dates of land cover in a single layer. To verify accuracy, check the appropriate style guide. For states with multiple UTM zones, a predominant UTM zone was chosen for the NLCD state map. Pixels derived from the 2019 Oil and Natural Gas Wells 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. 2018 NavStreets Street Data. Find articles in journals, magazines, newspapers, and more. Share sensitive information only on official, secure websites. Well pads. (2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019). When a wildfire rampages through a sagebrush domain, restoring the landscapes natural vegetation afterward is often a dicey proposition. 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. 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. 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. National Land Cover Database Class Legend and Description The classification system used by NLCD is modified from the Anderson Land Cover Classification System *. The mapping and modeling process results in a temporally consistent and spatially coherent land cover and land cover trajectory throughout the NLCD time span (2001 through 2019). NLCD 2011 is based primarily on a decision-tree classification of circa 2011 Landsat satellite data. Two file types are available: individual dates that supply a wall-to-wall map, and change files that compare one date to another. 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