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The National Land Cover Database 2011 (NLCD2011) USFS percent tree canopy product was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium (www.mrlc.gov). The MRLC Consortium is a partnership of federal agencies, consisting of the U.S. Geological Survey, the National Oceanic and Atmospheric Administration, the U.S. Environmental Protection Agency, the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service, the U.S. Forest Service, the National Park Service, the U.S. Fish and Wildlife Service, the Bureau of Land Management, NASA, and the U.S. Army Corps of Engineers. One of the primary goals of the project was to generate current,...
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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
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Layers of geospatial data include geographic names, hydrography, and other selected map features. The map layer was produced from the Medium-Resolution National Hydrography Dataset feature classes, through feature selection and cartographic generalization, based on reference to published small-scale ancillary data sets.
Types: Citation; Tags: US-NE-Nemaha, Shelby County, Shelby County, Shelby County, Flow direction network, All tags...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....


map background search result map search result map USGS National Hydrography Dataset (NHD) Medium Resolution for Missouri 20140804 State or Territory FileGDB 10.1 FSA 10:1 NAIP Imagery m_3509007_nw_15_1_20140814_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3608901_nw_16_1_20140722_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3608902_ne_16_1_20140722_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3608902_nw_16_1_20140722_20141020 3.75 x 3.75 minute JPEG2000 from The National Map USGS Combined Vector for Hickman, Kentucky 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Mooring, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Grafton, Illinois 20161018 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Long Island, Illinois 20161016 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Troy, Kansas 20160518 7.5 x 7.5 minute Shapefile USGS Combined Vector for Wolf Lake, Illinois 20161016 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Oak Mills, Kansas 20160518 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Cairo, Illinois 20161018 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for McClure, Illinois 20161017 7.5 x 7.5 minute Shapefile USGS Combined Vector for Warsaw, Illinois 20161018 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Alton, Illinois 20161018 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Lineville, Iowa 20160513 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Mount Sterling, Iowa 20160513 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Pleasanton, Iowa 20160513 7.5 x 7.5 minute FileGDB 10.1 NLCD 2011 Percent Tree Canopy, by State: NLCD2011_CAN_Missouri FSA 10:1 NAIP Imagery m_3509007_nw_15_1_20140814_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3608901_nw_16_1_20140722_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3608902_ne_16_1_20140722_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3608902_nw_16_1_20140722_20141020 3.75 x 3.75 minute JPEG2000 from The National Map USGS Combined Vector for Hickman, Kentucky 20160527 7.5 x 7.5 minute Shapefile USGS Combined Vector for Mooring, Tennessee 20160601 7.5 x 7.5 minute Shapefile USGS Combined Vector for Grafton, Illinois 20161018 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Long Island, Illinois 20161016 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Troy, Kansas 20160518 7.5 x 7.5 minute Shapefile USGS Combined Vector for Wolf Lake, Illinois 20161016 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Oak Mills, Kansas 20160518 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Cairo, Illinois 20161018 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for McClure, Illinois 20161017 7.5 x 7.5 minute Shapefile USGS Combined Vector for Warsaw, Illinois 20161018 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Alton, Illinois 20161018 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Lineville, Iowa 20160513 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Mount Sterling, Iowa 20160513 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Pleasanton, Iowa 20160513 7.5 x 7.5 minute FileGDB 10.1 NLCD 2011 Percent Tree Canopy, by State: NLCD2011_CAN_Missouri USGS National Hydrography Dataset (NHD) Medium Resolution for Missouri 20140804 State or Territory FileGDB 10.1