You are here

Keyword: land cover

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.

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.

Lichen elemental indicators for air pollution in Eastern United States forests; a pilot study in the upper Midwest

Publications Posted on: April 07, 2020
Five lichen species were evaluated as element-content pollution bioindicators for a pilot study in Wisconsin and adjacent U.S. states, using data for 20 elements. Goodquality elemental data for aluminum, cobalt, chromium, copper, iron, nitrogen, and sulfur—mostly from nonspecialist U.S.

Defining the United States land base: a technical document supporting the USDA Forest Service 2020 RPA assessment

Publications Posted on: March 31, 2020
The Resources Planning Act (RPA) Assessment uses a combination of land use and land cover data to evaluate trends in the United States land base and project future changes. This publication describes how the RPA Assessment uses the National Resources Inventory, National Land Cover Database, and Forest Inventory and Analysis to support analyses of forest trends.

Benefits of the free and open Landsat data policy

Publications Posted on: September 14, 2019
The United States (U.S.) federal government provides imagery obtained by federally funded Earth Observation satellites typically at no cost. For many years Landsat was an exception to this trend, until 2008 when the United States Geological Survey (USGS) made Landsat data accessible via the internet for free.

Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program

Publications Posted on: September 14, 2019
The U.S. Geological Survey Land Change Monitoring, Assessment and Projection (USGS LCMAP) initiative is working toward a comprehensive capability to characterize land cover and land cover change using dense Landsat time series data. A suite of products including annual land cover maps and annual land cover change maps will be produced using the Landsat 4-8 data record.

Composition and structure of forest fire refugia: What are the ecosystem legacies across burned landscapes?

Publications Posted on: August 17, 2018
Locations within forest fires that remain unburned or burn at low severity—known as fire refugia - are important components of contemporary burn mosaics, but their composition and structure at regional scales are poorly understood.

Pages