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Keyword: mapping

Raster surfaces created from the cost-effective mapping of longleaf extent and condition using NAIP imagery and FIA data project

Datasets Posted on: March 15, 2018
This data publication contains twenty-four GeoTIFF files for four significant geographic areas (SGAs) in Alabama, Florida, and Georgia. The extent of the SGAs are defined within the America’s Longleaf Range-wide Conservation Plan for Longleaf (2009).

Mapping forest structure and composition from low-density LiDAR for informed forest, fuel, and fire management at Eglin Air Force Base, Florida, USA

Publications Posted on: September 14, 2016
Eglin Air Force Base (AFB) in Florida, in the United States, conserves a large reservoir of native longleaf pine (Pinus palustris Mill.) stands that land managers maintain by using frequent fires. We predicted tree density, basal area, and dominant tree species from 195 forest inventory plots, low-density airborne LiDAR, and Landsat data available across the entirety of Eglin AFB.

Map your models with ModelMap

Science Spotlights Posted on: September 13, 2016
Working in the Forest Inventory and Analysis (FIA) Program, we have access to a valuable collection of detailed information about forests on thousands of sample plots distributed across the country. This information is used to produce summaries of forestland characteristics for a variety of geographic areas such as states or individual national forests. We wanted a simple tool to extend this sample data and make detailed maps of forest characteristics for all the land in between the study locations.

Bailey's ecoregions and subregions of the United States, Puerto Rico, and the U.S. Virgin Islands

Datasets Posted on: June 08, 2016
This map is commonly called Bailey's ecoregions and shows ecosystems of regional extent in the United States, Puerto Rico, and the U.S. Virgin Islands, based on conditions in 1994. Four levels of detail are included to show a hierarchy of ecosystems. The largest ecosystems are domains, which are groups of related climates and which are differentiated based on precipitation and temperature.

Recording wildlife locations with the Universal Transverse Mercator (UTM) grid system

Publications Posted on: May 12, 2016
The Universal Transverse Mercator (UTM) international, planar, grid system is described and shown to offer greater simplicity, efficiency and accuracy for plotting wildlife locations than the more familiar Latitude-Longitude (Latilong) and Section-Township-Range (Cadastral) systems, and the State planar system. Use of the UTM system is explained with examples.

Using airborne laser altimetry to determine fuel models for estimating fire behavior

Publications Posted on: July 28, 2015
Airborne laser altimetry provides an unprecedented view of the forest floor in timber fuel types and is a promising new tool for fuels assessments. It can be used to resolve two fuel models under closed canopies and may be effective for estimating coarse woody debris loads. A simple metric - obstacle density - provides the necessary quantification of fuel bed roughness to make these measures possible.

Lidar-derived canopy architecture predicts Brown Creeper occupancy of two western coniferous forests

Publications Posted on: July 08, 2015
In western conifer-dominated forests where the abundance of old-growth stands is decreasing, species such as the Brown Creeper (Certhia americana) may be useful as indicator species for monitoring the health of old-growth systems because they are strongly associated with habitat characteristics associated with old growth and are especially sensitive to forest management.

Field plot measures and predictive map products for "Regression modeling and mapping of coniferous forest basal area and tree density from discrete-return lidar and multispectral satellite data"

Datasets Posted on: March 27, 2015
This data publication contains lidar, advanced land imagery, geographic and tree data for 26 different predictor variables used in the modeling and mapping of basal area and tree density across two diverse coniferous forest landscapes in north-central Idaho. It also contains the Arc/INFO GRID raster format 30-meter-resolution maps for both study areas showing predicted basal area and tree density.

Field plot measures and predictive map products for "Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data"

Datasets Posted on: March 27, 2015
This data publication contains LiDAR data (for predictor variables) and plot tree data (for response variables) used in the modeling and mapping of species-level basal area and tree density across two diverse coniferous forest landscapes in north-central Idaho.It also contains the Arc/INFO GRID raster maps for both study areas showing predicted species-level basal area and tree density.

Challenges of assessing fire and burn severity using field measures, remote sensing and modelling

Publications Posted on: March 17, 2015
Comprehensive assessment of ecological change after fires have burned forests and rangelands is important if we are to understand, predict and measure fire effects. We highlight the challenges in effective assessment of fire and burn severity in the field and using both remote sensing and simulation models.

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