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Keyword: imageryBaseMapsEarthCover

Camp Swift Fire Experiment 2014: Post-fire unmanned aerial vehicle (UAV) imagery

Datasets Posted on: December 30, 2020
This data publication contains raw and georeferenced post-fire aerial imagery collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014.

Camp Swift Fire Experiment 2014: Pre-fire unmanned aerial vehicle (UAV) imagery

Datasets Posted on: December 30, 2020
This data publication contains raw and georeferenced pre-fire aerial imagery collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014.

Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) electro-optical aerial imagery and video

Datasets Posted on: December 30, 2020
This data publication contains active-fire electro-optical (EO) videos and georeferenced individual video frames collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014.

Camp Swift Fire Experiment 2014: Active fire unmanned aerial vehicle (UAV) infrared aerial imagery and video

Datasets Posted on: December 30, 2020
This data publication contains active-fire infrared (IR) videos and georeferenced individual video frames collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014.

Digital surface, terrain, and canopy height models for Moscow Mountain in 2009

Datasets Posted on: December 30, 2020
This data publication contains three digital rasters with a spatial resolution of one meter: 1) a digital surface model (DSM), which represents the highest lidar return in each grid cell; 2) a digital terrain model (DTM), a representation of the ground surface with vegetation and other non-ground returns removed; and 3) a canopy height model (CHM), a representation of the height of vegetation above the ground surface.

Field attributes and satellite data for "How vegetation recovery and fuel conditions in past fires influences fuels and future fire management in five western U.S. ecosystems" (1st Edition)

Datasets Posted on: December 30, 2020
This data publication contains field and satellite observations at 1567 plots across wildfire extents that burned between the years 2000-2007, collected for Joint Fire Science Project ID: 14-1-02-27. Field attributes were measured between the years 2013-2016 and include a suite of vegetation, soil, and surface cover characteristics.

Field attributes and satellite data for "How vegetation recovery and fuel conditions in past fires influences fuels and future fire management in five western U.S. ecosystems" (2nd Edition)

Datasets Posted on: December 30, 2020
This data publication contains field and satellite observations at 1567 plots across wildfire extents that burned between the years 2000-2007, collected for Joint Fire Science Project ID: 14-1-02-27. Field attributes were measured between the years 2013-2016 and include a suite of vegetation, soil, and surface cover characteristics.

Digital surface, terrain, and canopy height models for Boise Basin Experimental Forest in 2018

Datasets Posted on: December 30, 2020
This data publication contains three digital rasters with a spatial resolution of one meter: 1) a digital surface model (DSM), which represents the highest lidar return in each grid cell; 2) a digital terrain model (DTM), a representation of the ground surface with vegetation and other non-ground returns removed; and 3) a canopy height model (CHM), a representation of the height of vegetation above the ground surface.

Digital surface, terrain, and canopy height models for Priest River Experimental Forest in 2011

Datasets Posted on: December 30, 2020
This data publication contains three digital rasters with a spatial resolution of one meter: 1) a digital surface model (DSM), which represents the highest lidar return in each grid cell; 2) a digital terrain model (DTM), a representation of the ground surface with vegetation and other non-ground returns removed; and 3) a canopy height model (CHM), a representation of the height of vegetation above the ground surface.

Digital surface, terrain, and canopy height models for Deception Creek Experimental Forest in 2011

Datasets Posted on: December 30, 2020
This data publication contains three digital rasters with a spatial resolution of one meter: 1) a digital surface model (DSM), which represents the highest lidar return in each grid cell; 2) a digital terrain model (DTM), a representation of the ground surface with vegetation and other non-ground returns removed; and 3) a canopy height model (CHM), a representation of the height of vegetation above the ground surface.

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