20190909 09523000 1.0 TRUE 150000000 5000 USGS_NLCD_Imperviousness_2001 Land Use Land Cover Theme GIS imageryBaseMapsEarthCover Image processing Land cover biota NGDA digital spatial data United States United States U.S. US U.S. Geological Survey (USGS) National Geospatial Data Asset USGS NLCD Imperviousness 2001. 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. <DIV STYLE="text-align:Left;"><DIV><DIV><DIV STYLE="font-size:12pt"><P><SPAN>USGS NLCD Imperviousness 2001. </SPAN><SPAN>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. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. 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 2019. 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 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. 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. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. 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. See included spatial metadata for more details. Disclaimer: This product is for informational purposes only and may not be suitable for legal, engineering, or surveying purposes. It does not represent an official survey and represents only the approximate relative location of features and boundaries. Mapping may not necessarily reflect on-the-ground conditions. This product and those involved in its production make no claims as to the accuracy or reliability of the data, and neither assumes, nor will accept liability for their use.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV></DIV> USGS <DIV STYLE="text-align:Left;"><DIV><DIV><DIV STYLE="font-size:12pt"><P><SPAN>None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.</SPAN></P></DIV></DIV></DIV></DIV> /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+gAo AKACgAoAKACgAoA4H4zf8kw1T6L/ADoA+P8AjA6570ADdeuaAA/TFAHV/DQf8XI0Hvm5H8jQB9p0 AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAHAfGj/kl+qf8B/nQB8f0AWXt57eKKZh tWQZU560FcrWpBnIPHOc5oJOr+Gf/JSdCOOPtI9+xoGfaVAgoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoA4D40f8kv1T/gP86APkMBdjZJ3DpjpQMV5ZHjQMxKLwo9KAbIxx9DQI6n4cSx w/ETQ5JXVEW5GWY4A4PWgD7TBBAIOQe9ADqACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoA KAOA+M5K/DHUyOvy/wA6APkNeQTjPtnmgYoC+XtLEMT07UARUCHqxXoce/egDt9H+KvivTbiyMmr XE1ralcQFuHUdif8aAPYtI/aD0S9G28066tpAGZthDgADNA1FvY7Lwp8SPD/AIssLi7trj7OLc/v UuCFKj1+lAjqPt1oYBP9ph8oru37xjHrmgCdWVs7SDj0NADHnhjZVeVFZjgAsBmgBsN1Bc7/ACJo 5dh2tsYHafQ0AT0AFABQAUAFABQAUAFABQAUAFABQAUAee/Gttvww1H3Kj9aAPkeMoFJLMGHTHeg Ca6jtljjaB2ZiPnB7GgppWViqBmgkSgAoAmjaSMF0YrkFc56+1A02th0FxLEsiJLIqyDDKrYDfWg Fqadtr+rR2M1oby4MMkYiKlicKDnA9OlAWNrTfiL4l0qynhttSnVZkKvvO4noMg9jjAoGYM2uarL L5lxqN1I45G6ZhtJ7igRf8N+ONe8K6gbrTr98ucyJISyvz3BoA978C/GZvFGq2OkXWnpHdTZDyJK MZHoOtA+U9eoJCgAoAKACgAoAKACgAoAKACgAoA86+N5A+GN9npvT+dAHySx2H5CdrDvQNjWUo2D 1oEAUkE9h1oAUZUjkeooAafvGgBwwOuMEdeuKBksKsXDAjHuRmgEdnonhkTWv2m4lVIZRgDPJGet K12d9DDpx5pPQqeLLKzsNRWO1dSipyqgEDBwc0bMWMhTjJchzZy7OSikMOCfSg4gBU8GPauRggD/ AAoGmdh8IMp8TtJXA5kIz+Bpkn2HQIKACgAoAKACgAoAKAIftMA6zx/99igBftMH/PeP/vsUAH2m D/nvH/32KAD7TD/z2j/77FAHnXxtmif4ZXwWVGPmJwGHrQB8mAFiAoJJ7CgByr8+1zsx1yOlAxnH P6UCF3DdnaMelA7k1zJHNLuihES9MA0Dk03oQ4B+UDJz1oJJYtkcpEi7lI6UDLsV/NHFGiNJtHbP ApFqcloivJO88zSs7nzGw2TQJtt3YkeBKqFkZM/pQHUsGeKGeYwgPFjC7/egq6T0Os+Ekgb4n6Nw ANzAY7cHrQQz7ApkhQAUAFABQAUAFAEUsYmieNs7XUqcHB5oA+Z/i54Tu/CVzDcWN1qMlnODiQys RG2ehOeOtI0nKMkmlY8q/tfUx/zEbv8A7/t/jTMw/tfU/wDoI3f/AH/b/GgBf7Y1P/oJXn/f9v8A GgBs+oX8ymK4u7l07pJKxH5E0AMguGhjZURdxIIfHzL9KClKxC7tI5diSx5JPegkZQBYlgktiolG 3eu4Y7gjigbVtyDAyO/0oESEqSfKBAxzmgY1NxcbckigC1HCxtJJfMChcAKx5P0oGlpchjjViCxC gnpg0gQnCB42A3djQA5WE0gXG0ngt14phe5Np2oXGlX8V5ZytHcQuGjdeCMUCPtnwxq8eu+GrDUY pkm86FSzr03Y5/WgRsUAFABQAUAFABQAUAV7q0t761ktrqFJoZFKujjIYHtQB8wfFD4SXXhm9a/0 WCW40qTLFVG5oT6fSgDyggg4IwRQAlACgZOM4+tAB0PrQAlABQApJbqSfrQAlADgCRgDvQBZhEKM fNSU8cYODQUrX1EnZCB5e4YHOe5oDQg+6c5yO+KBCoGZ/l6+vpQG5MrNbOHRsPhhkfTFIe2xFhi5 3YUgZ5piPpX9ni9vZ/Ct/bTkm2gnHkZHTIORn8BQI9loAKACgAoAKACgAoAKAGOiyIUdQykYIIyD QB8tfHHwavh7xKmpWcCRWF8OFToJB14oA8ooAKACgAoAKACgBwBdsKpPsKAJEDRSIScd/p9aBmzo kVtdSu9w4QhSTlsAY6YpG1JRb94ybkfvsqeDnFMya10HxSPDFIFUMknytkc9eKQ07Fiw0558sCwU rg4obHCLb0K9xE1v+6wfXjsKCWrDY4XljLjPy4GAOtMLH138IrO3tPhxphgUAyqXkIGMtmgk7qgA oAKACgAoAKACgAoAKAPOPjH4Mn8W+EgbFGkvbN/NijU/f4wR+VAHydc2s9ncyW9zE8U0Zw8brgqf cUAQgZOB1oA9u8H/AADbWNIg1LWdTe3FzFvjghQbkz90kn+WKAL11+zayxs1r4h3MFJCvbYyewzu oA8T1jR73QtTmsL+B4pomKncpAb3HqKAM8Y6Hj3oAdHI8UgeNtrDoRQBq6XpN1rFxIbdTI8Y3seB 70rm1OlKo/dIrhBBlWEYYNtYA8D8utMhqxTzl2RmGAeABmgkUyKTzzgnjtikM6rwhLp1vLK17IpV lwA4zn6UaX1O3BOnFtzK/iuGztpw9tI7GXuOgX0o06E4uME7wd7lrwn4Q8S6zMjado1xNak5kMny ow9i2B9OtByxm47H1zodhDpmh2dlBD5EcUSr5ZOSpxzn3zTINKgAoAKACgAoAKACgAoAKACgDiPF 3wu8OeLzLcXVt5F+64+1Q8N7Z9aAPJrD4AarD4ujiubhH0dH3/aFI3MB0BHrQB9FwQpbwRwxgBI1 CqB2AGKAJaAOJ+IvgWw8YaBcB4lW/ijLQTKPmBHOPpQO58dzRPBM8UqlJEJVlI5BFAMYxBYkDA9K BGhp2pz6ezG3laJnUhmB60jSE5R+FlOSQuSw6kfNQSxI0ZyQg3EjnimJCI2xgdoJHIoDYmgBmulU k7iflCDNA1ue5/DX4QT6jawap4neT7MHD29mRgtjoze3tQDk9j36GGK3iWOGNURRgKowBQSSUAFA BQAUAFABQAUAFABQAUAFABQAUAFABQAUAfKvxx8ItofjBtUtoHFhqC+YXC/KsvRhn34P40DueWHG T1x2oENoAcoBPJwKBgrMrZUkH2oEdf4J8Aa144v0jsoGhslOJbx0+RfXB7n2FA7n0h4O+Evhvwht nSE3t8BzcXABwf8AZHQUCO+oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgDK8QaJaeI9Du 9LvUV4p0K8j7p7H8DQB8eeMfBOreC9RNvqMOInY+TKp+VxQO2lzmKBE0QHXJIx8/HQUDR2nw/wDB w8Z+KLeyiOLRV8y7bGCqg8j8elBUrJaH11p2nWmk2ENjYwJBbQqFSNBgAUEFugAoAKACgAoAKACg AoAKACgAoAKACgAoAKACgAoAKACgAoA8U/aH0S4vdCsNUghkkW1ciUg8Ip7kUAfNdABmgD6P/Zxs 4F0LVrsYM7zKhPcKAaAPcKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAz9a0yH WtGu9OnAMdxE0Zz7igD5S8S/B/xV4dk3C0F5bMxCyW5L7R/tDHFA0jkLjRbu1k2SKGYg/cOR+dK5 cqco6M9a/Z11h7XxHqOjyEhLiHzFB/vL/wDWzTMz6SoAKACgAoAKACgAoAKACgAoAKACgAoAKACg AoAKACgAoAKACgAoAQgEYI4oAwL3wT4bv94udGtHaTJZvLwc+tAczMXwv8MfD/hjWpdVsklN1vZU LNwikYxjvQNu53VAgoAKACgAoAKACgAoA//Z 20210903