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Keyword: vegetation

Understanding the effect of fire on vegetation composition and gross primary production in a semi-arid shrubland ecosystem using the Ecosystem Demography (EDv2.2) model

Publications Posted on: March 27, 2021
Wildfires in sagebrush (Artemisia spp.)-dominated semi-arid ecosystems in the western United States have increased dramatically in frequency and severity in the last few decades. Severe wildfires often lead to the loss of native sagebrush communities and change the biogeochemical conditions which make it difficult for sagebrush to regenerate.

Camp Swift Fire Experiment 2014: Vegetation map

Datasets Posted on: December 30, 2020
This data publication contains a vegetation map derived 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. Fires were ignited on relatively flat areas of grass vegetation in moderate winds.

Camp Swift Fire Experiment 2014: Field fuel samples

Datasets Posted on: December 30, 2020
This data publication contains fuel loading, fuel consumption, fuel moisture, and surface-area-volume ratios for vegetation samples 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.

Lick Creek Demonstration-Research Forest: Data and photo archive of 25-year fire and cutting effects on vegetation and fuels

Datasets Posted on: December 30, 2020
This data publication contains vegetation, fuels, and repeat photopoint data for the Lick Creek Demonstration-Research Forest Commercial Thinning + prescribed fire and Retention Shelterwood + prescribed fire study areas in western Montana. Pretreatment data were collected in 1991. The Commercial Thinning and Retention Shelterwood project areas are each stand-alone studies located in different areas and data should not be combined.

Field observations for "A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA"

Datasets Posted on: December 30, 2020
These data represent a portion of the forest inventory data used in Hudak et al. (in review) "A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA".

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.

Digital surface, terrain, and canopy height models for Priest River Experimental Forest in 2002 (2nd Edition)

Datasets Posted on: December 30, 2020
The data publication contains 1 meter raster data sets for three different digital elevation models (DEM) for the Priest River Experimental Forest in north Idaho in 2002. The first is a digital terrain model (DTM), which is the ground surface with all vegetation and human-made structures removed. The second is a digital surface model (DSM), which includes all vegetation and human-made structures.

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