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Federal
Digital Geomorphic-GIS Map of the Hogpen Bay to Cape Lookout Site, North Carolina (1:10,000 scale 2008 mapping) (NPS, GRD, GRI, CALO, HBCL_geomorphology digital map) adapted from a East Carolina University unpublished map and digital data by Ames and Riggs (2008)
Department of the Interior —
The Digital Geomorphic-GIS Map of the Hogpen Bay to Cape Lookout Site, North Carolina (1:10,000 scale 2008 mapping) is composed of GIS data layers and GIS tables, and... -
Federal
Digital Geomorphic-GIS Map of the Shackleford Banks, North Carolina (1:10,000 scale 2012 imagery) (NPS, GRD, GRI, CALO, SHKB_geomorphology digital map) adapted from a East Carolina University unpublished report and GIS data by Riggs, Ames and Mallinson (2015)
Department of the Interior —
The Digital Geomorphic-GIS Map of the Shackleford Banks, North Carolina (1:10,000 scale 2012 imagery) is composed of GIS data layers and GIS tables, and is available... -
Federal
Digital Geomorphic-GIS Map of the Drums Inlet Site, North Carolina (1:10,000 scale 2008 mapping) (NPS, GRD, GRI, CALO, DRIN_geomorphology digital map) adapted from a East Carolina University unpublished map and digital data by Ames and Riggs (2008)
Department of the Interior —
The Digital Geomorphic-GIS Map of the Drums Inlet Site, North Carolina (1:10,000 scale 2008 mapping) is composed of GIS data layers and GIS tables, and is available... -
Federal
Digital Geomorphic-GIS Map of Cape Lookout National Seashore, North Carolina (1:24,000 scale 2008 mapping) (NPS, GRD, GRI, CALO, CALO_geomorphology digital map) adapted from North Carolina Geological Survey unpublished digital data and maps by Coffey and Nickerson (2008)
Department of the Interior —
The Digital Geomorphic-GIS Map of Cape Lookout National Seashore, North Carolina (1:24,000 scale 2008 mapping) is composed of GIS data layers and GIS tables, and is... -
Federal
LANDFIRE Annual Disturbance AK 2022
Department of the Interior —
LANDFIRE's (LF) Annual Disturbance products provide temporal and spatial information related to landscape change. Annual Disturbance depicts areas of 4.5 hectares (11... -
Federal
LANDFIRE 2022 Fuel Disturbance (FDist) Puerto Rico US Virgin Islands
Department of the Interior —
LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. LF 2022 Fuel Disturbance (FDist) uses the... -
Federal
LANDFIRE 2022 Forest Canopy Base Height (CBH) HI
Department of the Interior —
LANDFIRE's (LF) 2022 Canopy Base Height (CBH) supplies information used in fire behavior models to determine the critical point at which a surface fire will... -
Federal
LANDFIRE 2022 Forest Canopy Cover (CC) AK
Department of the Interior —
LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an... -
Federal
LANDFIRE 2022 Fuel Disturbance (FDist) AK
Department of the Interior —
LANDFIRE (LF) disturbance products are developed to provide temporal and spatial information related to landscape change. LF 2022 Fuel Disturbance (FDist) uses the... -
Federal
LANDFIRE 2022 Forest Canopy Cover (CC) CONUS
Department of the Interior —
LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an... -
Federal
LANDFIRE 2022 Fuel Vegetation Height (FVH) AK
Department of the Interior —
LANDFIRE (LF) 2022 Fuel Vegetation Height (FVH) represents the LF Existing Vegetation Height (EVH) product, modified to represent pre-disturbance EVH in areas where... -
Federal
LANDFIRE 2022 Forest Canopy Height (CH) AK
Department of the Interior —
LANDFIRE's (LF) 2022 Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. CH is used in the calculation of Canopy Bulk Density... -
Federal
LANDFIRE 2022 Fuel Vegetation Cover (FVC) CONUS
Department of the Interior —
LANDFIRE (LF) 2022 Fuel Vegetation Cover (FVC) represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where... -
Federal
LANDFIRE 2022 Vegetation Departure (VDep) HI
Department of the Interior —
LANDFIRE’s (LF) 2022 Vegetation Departure (VDep) product categorizes departure between current vegetation condition and reference vegetation condition, according to... -
Federal
LANDFIRE 2022 Existing Vegetation Type (EVT) Puerto Rico US Virgin Islands
Department of the Interior —
LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification... -
Federal
LANDFIRE 2022 Scott and Burgan Fire Behavior Fuel Model (FBFM40) HI
Department of the Interior —
LANDFIRE's (LF) 2022 40 Scott and Burgan Fire Behavior Fuel Models (FBFM40) product represents distinct distributions of fuel loadings found among surface fuel... -
Federal
LANDFIRE 2022 Fuel Vegetation Type (FVT) CONUS
Department of the Interior —
LANDFIRE (LF) 2022 Fuel Vegetation Type (FVT) represents the LF Existing Vegetation Type Ecological Systems (EVT) product, modified to represent pre-disturbance EVT... -
Federal
LANDFIRE 2022 Fuel Vegetation Cover (FVC) HI
Department of the Interior —
LANDFIRE (LF) 2022 Fuel Vegetation Cover (FVC) represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where... -
Federal
Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for CONUS in 1992
Department of the Interior —
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and... -
Federal
Digital Geologic-GIS Map of Knife River Indian Villages National Historic Site and Vicinity, North Dakota (NPS, GRD, GRI, KNRI, KNRI digital map) adapted from a University of North Dakota, Department of Anthropology and Archeology Master's Thesis map by Reiten (1983)
Department of the Interior —
The Digital Geologic-GIS Map of Knife River Indian Villages National Historic Site and Vicinity, North Dakota is composed of GIS data layers and GIS tables, and is...