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Found 281 dataset(s) matching "National Agricultural Imagery Program".
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Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were flown over Austin, TX in 2006 during the "leaf-on" agricultural growing season and are...
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Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were flown over Austin, TX in 2018 during the "leaf-on" agricultural growing season and are...
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Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were flown over Austin, TX in 2010 during the "leaf-on" agricultural growing season and are...
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The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) has created a fine-scale vegetation map of the Department''s mitigation lands in the...
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The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) has created a fine-scale vegetation map of the Department’s mitigation lands in the...
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Under contract to the California Department of Fish and Wildlife (CDFW), Aerial Information Systems (AIS) created a fine-scale vegetation map of portions of the Southern Sierra Nevada Foothills in...
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Under contract to the California Department of Fish and Wildlife (CDFW), the North State Planning and Development Collective (NSPDC) created a fine-scale vegetation map of portions of the Sierra...
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The mapping study area was divided into two areas of Modoc and Lassen Counties. The Applegate area consists of approximately 84,574 acres, and work was performed on the project between 2017 and...
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The U.S. Bureau of Land Management (BLM) contracted Aerial Information Systems, Inc. (AIS) to continue vegetation classification development and fine-scale vegetation mapping of 1,016,668 acres...
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Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate...
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Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate...
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This fine-scale vegetation classification and map of the Pine Creek and Fitzhugh Creek Wildlife Areas, Modoc County, California was created following FGDC and National Vegetation Classification...
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This dataset provides annual estimates of six carbon pools, including forest aboveground live biomass, belowground biomass, aboveground dead biomass, belowground dead biomass, litter, and soil...
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<div style='text-align:Left;'><div><div><p><span>CSU Chicos Geographical Information Center (GIC), with assistance from CDFWs Vegetation Classification and Mapping Program (VegCAMP) created a...
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The Chesapeake Bay Land Use and Land Cover Database (LULC) facilitates characterization of the landscape and land change for and between discrete time periods. The database was developed by the...
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Yellow sweet clover (Melilotus officinalis; clover hereafter) is a biennial legume native to Eurasia that is now present in all 50 states. Clover can grow 2 m tall and achieve high densities...
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CSU Geographic Information Center at Chico (GIC), with assistance from the Vegetation Classification and Mapping Program at CDFW (VegCAMP) created a fine-scale vegetation and land use map of...
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The Geographical Information Center (GIC) at California State University, Chico, completed a vegetation map of the Proposed Tehachapi Pass High-Speed Rail Corridor (HSRC), covering 199,493 acres....
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This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common...
