Average height of shrubs. NLCD 2016 represents the latest evolution of NLCD land cover products focused on providing innovative land cover and land cover change data for the Nation. Disclaimer. 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. The original National Land Cover Database (NLCD) was created in 1992 by the Multi-Resolution Land Characteristics (MRLC) Consortium.The latest data were released in May 2019, and contain updated versions for 2001, 2004, 2006, 2008, 2011, 2013, and new data for 2016. Kalyanapu, Alfred & Burian, Steve & Mcpherson, Timothy. Tree cover is only available on a strip along the coast from the southern This type is often co-associated with grasses, sedges, herbs, and non-vascular vegetation. Impervious surfaces account for 80% to 100% of the total cover. Included in NLCD2016. Included in NLCD2016. 1992 data are primarily based on unsupervised classification of Landsat data, The performance of the developed strategies and methods were tested in twenty World Reference System-2 path/row throughout the conterminous U.S. An overall agreement ranging from 71% to 97% between land cover classification and reference data was achieved for all tested area and all years. To access this dataset in Earth Engine, please sign up for Earth Engine The original National Land Cover Database (NLCD) was created in 1992 by the Multi-Resolution Land Characteristics (MRLC) Consortium. The South Carolina Department of Health and Environmental Control (SCDHEC) maintains this website as a service to the public. while the rest of the images rely on the imperviousness data layer for the https://www.mrlc.gov/data/nlcd-2016-land-cover-conus, https://www.mrlc.gov/data/legends/national-land-cover-database-2016-nlcd2016-legend, USGS's Guide for Selecting Manning's Roughness Coefficients for Natural Channels and Flood Plains, Manning's n Values for Various Land Covers To Use for Dam Breach Analyses by NRCS in Kansas, http://grasswiki.osgeo.org/w/index.php?title=NLCD_Land_Cover&oldid=26347, Raster grid covering the Continental US at 30 meter resolution. Pricing remains the same for NLCD 2016 as it was previously for NLCD 2011. Included in images NLCD2001, NLCD2001_AK, NLCD2001_HI, NLCD2001_PR, NLCD2006, NLCD2011, NLCD2011_AK, and NLCD2016. The USGS, working in partnership with the Federal interagency Multi-Resolution Land Characteristics (MRLC) Consortium, is developing the National Land Cover Database (NLCD) 2016. This release also contains imperviousness, forest canopy, and shrubland rasters. Nonroad impervious surface outside urban area. North Carolina versions that have been extracted from each of the above products are available on the Geodata Server under /fedgov/mrlc/nlcd2016release with accompanying metadata, readme files, and layer style files. Download the per pixel estimates of percent imperviousness legend. Download GAP/LANDFIRE National Terrestrial Ecosystems 2011 data by direct selections below. The USGS in collaboration with the Bureau of Land Management and other MRLC partners has produced these revised NLCD products. We are pleased to announce today that we have updated National Land Cover Database (NLCD) 2016 data available for use with our latest Terrain Analysis Package (TAP™) 7.2 software. NLCD (the National Land Cover Database) is a 30-m Landsat-based land cover database spanning 8 epochs (1992, 2001, 2004, 2006, 2008, 2011, 2013 and 2016). Developed high intensity: highly developed areas where people reside or work in high numbers. These areas most commonly include single-family housing units. Lichens: Alaska only areas dominated by fruticose or foliose lichens generally greater than 80% of total vegetation. parts of Kenai Peninsula Borough and Anchorage Municipality are available. 1992 data are primarily based on unsupervised classification of Landsat data, while the rest of the images rely on the imperviousness data layer for the urban classes and on a decision-tree classification for the rest. Land Cover Input. 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. NLCD 2016 was just released by the USGS in May 2019. "The TCC 2011 dataset has two layers: percent tree canopy cover and standard error. TAP 7 Showing Land Cover Classification Along a Path, TAP 7 TIA TR8 Revised Land Cover Loss Table. Use 7zip or another compression program to open these files. (919) 515-7110, Request a Data/Visualization Consultation, All Virtual & Augmented Reality Workshops, Academic Departmental Library Representatives, What to know about the Libraries: Fall 2020, Multi-Resolution Land Characteristics (MRLC) Consortium. NLCD 2016 offers 7 integrated epochs of land cover for years 2001, 2003, 2006, 2008, 2011, 2013, and 2016. nlcd 2016 was delivered earlier this year, tracking u.s. land cover change for 15 years, from 2001-2016. the database consists of many separate land cover products, with 19 of the products shown here This page was last modified on 23 September 2020, at 21:48. Campus Box 7111 The latest NLCD 2016 and MODIS v6 data are available as data layer overlays in TAP Mapper. This is an update to the NLCD 2011 data that we have been offering since 2014. These nationally standardized, raster-based inventories of land cover are derived from multiple dates of Landsat satellite imagery and provide 7 epochs of land cover data for years 2001, 2003, 2006, 2008, 2011, and 2016. We are pleased to announce today that we have updated National Land Cover Database (NLCD) 2016 data available for use with our latest Terrain Analysis Package (TAP™) 7.2 software. The proportion of shrub canopy in each 30m pixel. landcover,shrub,shrubland, The NLCD 2016 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 2016 at 2–3-year intervals. The 2016 NLCD (released May 2019) contains the following data products: Landcover for years 2016, 2013, 2011, 2008, 2006, 2004, 2001. NLCD 2006 is the most recent 30-meter, seamless, wall-to-wall land cover database for the conterminous United States. Included in NLCD2016. Additional The latest data were released in May 2019, and contain updated versions for 2001, 2004, 2006, 2008, 2011, 2013, and new data for 2016. "The TCC 2011 cartographic product consists of a single layer, percent tree canopy cover and is intended for use as display imagery for backdrop purposes. Evergreen forest: areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. Included in NLCD2016. Included in images NLCD2001, NLCD2006, NLCD2011, and NLCD2016. 1992 data are primarily based on unsupervised classification of Landsat data, while the rest of the images rely on the imperviousness data layer for the ... USGS/NLCD, the national land cover data ase is the nation’s authoritative land cover database. In both Path and Coverage studies, “clutter” losses may be applied at the receiver location according to Land Cover Loss Tables. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2016 operational mapping. This can aid in the consideration of where trees or buildings may impact link performance and inform the placement of appropriate surface features. Database (NLCD) land cover layer is one of several primary and supplementary layers in NLCD 2006. NLCD serves as the definitive moderate resolution land cover database for the U.S., developed from Landsat data at a 30-m pixel resolution. Actual values for your location will vary widely, the following is simply a starting point. Data is provided in ERDAS Imagine .img format. Included in NLCD2016. Additionally, an impervious surface descriptor layer "... identifies types of roads, core urban areas, and energy production sites for each impervious pixel to allow deeper analysis of developed features.