The NLCD 1992-2001 Land Cover C, This 30-meter data set represents land use and land cover for the conterminous United States for the 2001 time period. Photogrammetric Engineering and Remote Sensing 81(5), 345-354. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=309950, Merrill, D., Leatherby, L. (2018). All NLCD data products are available for download at no charge to the public from the MRLC Web site: http://www.mrlc.gov. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land []. Related data for percent impervious and tree canopy are available . Examples include apartment complexes, row houses, and commercial/industrial. 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. Find information on spaces, staff, and services. Two file types are available: individual dates that supply a wall-to-wall map, and change files that compare one date to another. These areas most commonly include single-family housing units. Download the Land Cover Classification Legend and Description. Interstates and other major roads. (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. The National Land Cover Database (NLCD) provides nationwide data on land cover and land cover change at 30-meter resolution. Abstract. 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. blm,landcover,mrlc,nlcd,usgs, https://developers.google.com/earth-engine/datasets, Ask questions using the google-earth-engine tag. 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 . versions of NLCD. Secondary road. 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). (MRLC) Consortium, a partnership of federal agencies led by the 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. Mey. ) or https:// means youve safely connected to the .gov website. (2023-03-22 15:19), Earth Resources Observation and Science Center (EROS), National Land Cover Database (NLCD) 2019 Products (ver. 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 . NLCD also includes anNLCD Land Cover Change Index. NLCD 2019 also includes a wind energy layer across all impervious products. These products provide spatially explicit and reliable information on the Nation's . By comparison, overall accuracies at Level II and Level I for the NLCD 1992 were 58% and 80%. Earth Engine is free to use for research, education, and nonprofit use. Share. 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. Sedge/herbaceous: Alaska only areas dominated by sedges and forbs, generally greater than 80% of total vegetation. "National Land Cover Dataset (NLCD)." [Research Triangle Park, NC] : [Multi-Resolution Land Characteristics Consortium], n.d. warning Note: These citations are software generated and may contain errors. The USGS EROS Center systems provide access to a variety of products from USGS sources. The USGS EROS Center supports delivery and access systems for a variety of NASAs LP DAAC science datasets. To submit, please register and login first. 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. 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. Impervious pixels from LCMAP that were used 2011 and 2016 Forest canopy products are available for the Continental United States, coastal Alaska, Hawaii, and Puerto Rico. 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. 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. Click (here) for NLCD Science Research Products which offer more comprehensive delineation of shrub and grass classes and information about change disturbance. Federal government websites often end in .gov or .mil. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nations land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. 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. An official website of the United States government. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nations land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The proper use and citation of imagery and products will vary according to source, and detailed information is provided in the sections below. Pixels derived from the US Wind Turbine Dataset, NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. This dataset has one image for the continental US for each epoch. Heres how America uses its land. 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. 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. Pixels were surface class. Pixels derived from the Microsoft US Building A lock ( A., Yang, L., Jin, S., Danielson, P., Xian, G., Coulston, J., Herold, N. D., Wickham, J. D., & Megown, K. (2015). Pixels were derived from the 2018 See included spatial metadata for more details. These areas most commonly include single-family housing units. 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 original National Land Cover Database (NLCD) was created in 1992 by the Multi-Resolution Land Characteristics (MRLC) Consortium. We have developed a mask (see below) to apply to the future sagebrush cover layers. 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. Defines which impervious layer pixels are roads and provides the best fit description for impervious pixels that are not roads. Substantial differences in imagery, legends, and methods between these two land cover products must be overcome in order to support direct comparison. 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. (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. Because of file size limitations, individual component products are packaged in three historic intervals including 1985-1995, 1996-2006, and 2007-2021. Here we report agreement statistics between map and reference labels for NLCD 2011, which includes land cover for ca. 2.0, June 2021): U.S. Geological Survey data release, We plan to release these EAG estimates multiple times each year in early growing season. The USGS Earth Resources Observation and Science (EROS) Center National Land Cover Database team in collaboration with the Bureau of Land Management (BLM) has produced the most comprehensive remote-sensing based quantification of western United States shrublands to date. and wind turbines and classified in coordination with the 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. 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. For states with multiple UTM zones, a predominant UTM zone was chosen for the NLCD state map. Export to . generally not roads or energy production; includes 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. These products have been produced by USGS in collaboration with the Bureau of Land Management. 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. 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 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. To browse or use data from this site, no account is necessary! Source. Tap the tabs above to explore related science, multimedia, and news on NLCD. 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. For additional information, please refer to the README file, license file, or other information delivered along with the image product. Conterminous United States land cover change patterns 2001-2016 from the 2016 National Land Cover Database. Sample NLCD map NLCD 2019land cover and impervious surface product versions of previous dates must be downloaded for proper comparison. The images rely on the imperviousness data layer for the Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) 2019 Products (ver. This dataset has one image for the continental US for each epoch. Additional information on Acknowledging or Crediting USGS as Information 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. An official website of the United States government. NLCD (the National Land Cover Database) is a 30-m Landsat-based land cover Save and categorize content based on your preferences. Completion of the 2011 National Land Cover Database for the conterminous United States - Representing a decade of land cover change information. 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). Land cover classification and changes and impervious fractions were obtained from the National Land Cover Database of 2001 and 2006. In this episode, we talk about the National Land Cover Database. close. Quantifying Western U.S. shrublands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. Developed areas that are https://doi.org/10.1016/j.isprsjprs.2020.02.019. A .gov website belongs to an official government organization in the Source is available. 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. 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. See the USGS Visual Identity System Guidance for further details on proper citation and acknowledgement of USGS products. LCMAP impervious. Chicago. 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. Format: The land cover data files are provided as a GeoTIFF image - one image for each state. 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. Tertiary road. Before sharing sensitive information, make sure you're on a federal government site. 2016 NLCD release. United States. 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. Generally, vegetation accounts for less than 15% of total cover. 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. 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. 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. 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. 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. Impervious surfaces account for 20% to 49% percent of total cover. NLCDis used for thousands of applications that require information on landcover location or where it is changing. NLCD products are created by the Multi-Resolution Land Characteristics Data are packaged by time-period and climate scenarios (six). Official websites use .gov Howeve. residential/commercial/industrial areas, parks, and golf courses. Citation . NLCD 2019 updates all previously released versions of impervious products for CONUS and provides integrated analysis for all Land Cover dates. Pixels derived from the 2019 Oil and Natural Gas Wells Cheatgrass (Bromus tectorum) is a dominant species, but this dataset also includes Bromus arvensis L., Bromus briziformisFisch. 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. 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. Impervious surfaces account for less than 20% of total cover. Spatial Reference Information: Universal Transverse Mercator, North American Datum 1983. 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. When a wildfire rampages through a sagebrush domain, restoring the landscapes natural vegetation afterward is often a dicey proposition. derived from the 2018 NavStreets Street Data. Buildings not captured in the NLCD (Read More), RCMAP projected cover products characterize the fractional (i.e. Facebook; Twitter; LinkedIn; Email; . As with two previous NLCD land cover products NLCD 2011 keeps the same 16-class land cover classification scheme that has been applied consistently across the United States at a spatial resolution of 30 meters. Percent of the pixel covered by developed impervious surface. The release of NLCD 2016 provides important new information on land change patterns across CONUS from 2001, The National Land Cover Database (NLCD) contains three eras (2001, 2006, 2011) of percentage urban impervious cover (%IC) at the native pixel size (30 m-x-30 m) of the Landsat Thematic Mapper satellite. Crop vegetation accounts for greater than 20% of total vegetation. 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. [Note: The scheduled release date for NLCD 2016 products is Friday, December 28, 2018]. USGS is currently working in partnership with the Interagency Multi-Resolution Land Characteristics (MRLC) Consortium to produce the next version of the National Land Cover Database, NLCD 2019. It also includes a matching impervious surface descriptor layer. Find journal titles available online and in print. NLCD products are created by the Multi-Resolution Land Characteristics (MRLC) Consortium, a partnership of Federal agencies led by the U.S. Geological Survey. Developed high intensity: highly developed areas where people reside or work in high numbers. The use of standardized data and procedures assures consistency through time and across geographies. Emergent herbaceous wetlands: areas where perennial herbaceous vegetation accounts for greater than 80% of vegetative cover and the soil or substrate is periodically saturated with or covered with water. Additional Information Basics reproduced without copyright restriction. 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). And categorize content based on your preferences Representing a decade of Land management only areas dominated by and... To apply to the README file, or other information delivered along with image!: //www.mrlc.gov tabs above to explore related science, multimedia, and change files that compare one date to.. 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