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Keyword: FIA

Putting Forest Inventory and Analysis Data to Work in Forest Planning and Monitoring

Documents and Media Posted on: February 16, 2021
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TreeMap, a tree-level model of conterminous US forests circa 2014 produced by imputation of FIA plot data

Publications Posted on: January 15, 2021
A 30 × 30m-resolution gridded dataset of forest plot identifiers was developed for the conterminous United States (CONUS) using a random forests machine-learning imputation approach. Forest plots from the US Forest Service Forest Inventory and Analysis program (FIA) were imputed to gridded c2014 landscape data provided by the LANDFIRE project using topographic, biophysical, and disturbance variables.

County-scale mapping of the invasion stage and invasiveness of major nonnative invasive plants in the Upper Midwest forestlands, USA

Publications Posted on: April 02, 2020
The determination of invasion stages and the degree to which an invasive plant (non-native invasive plant, NNIP) has become established and spread in an ecosystem (\invasiveness") is essential for developing methods of mitigation and control.

Montana’s forest resources, 2006-2015

Publications Posted on: October 15, 2019
This report presents a summary of the most recent Forest Inventory and Analysis summary of Montana’s forests based on field data collected between 2006 and 2015. The report includes descriptive highlights and tables of area, numbers of trees, biomass, volume, growth, and mortality, as well as an industry report. Most sections and tables are organized by forest type or forest-type group, tree species group, diameter class, or owner group.

Using FIA data to predict forest understory vegetation structure

Science Spotlights Posted on: September 03, 2019
Understanding the structure of understory vegetation in forests is critical for estimating carbon stocks, fuel loading, and assessing wildlife habit. Using nationally collected inventory data shows promise in providing better estimates and assessments in these areas over large geographical regions.

Using forest inventory data with Landsat 8 imagery to map longleaf pine forest characteristics in Georgia, USA

Publications Posted on: August 19, 2019
This study improved on previous efforts to map longleaf pine (Pinus palustris) over large areas in the southeastern United States of America by developing new methods that integrate forest inventory data, aerial photography and Landsat 8 imagery to model forest characteristics.

Predicting understory vegetation structure in selected western forests of the United States using FIA inventory data

Publications Posted on: July 25, 2019
Understory vegetation structure and its relationship with forest canopies and site conditions are important determinants of carbon stocks, wildlife habitat, and fuel loading for wildland fire assessments. Comprehensive studies are needed to assess these relationships through the use of consistently collected field-based data.

Rocky Mountain Research Station Forest Inventory & Analysis: Montana

Pages Posted on: July 19, 2019
Inventory and monitoring efforts conducted by Rocky Mountain Research Station scientists present a systematic compilation of forest statistics of the state.

Rocky Mountain Research Station Forest Inventory & Analysis: Wyoming

Pages Posted on: July 19, 2019
Inventory and monitoring efforts conducted by Rocky Mountain Research Station scientists present a systematic compilation of forest statistics of the state.

Rocky Mountain Research Station Forest Inventory & Analysis: Nevada

Pages Posted on: July 18, 2019
Inventory and monitoring efforts conducted by Rocky Mountain Research Station scientists present a systematic compilation of forest statistics of the state.

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