Forest loss classified by forest disturbance type in the conterminous United States from 2003-2011

This dataset consists of 30 m spatial resolution forest cover loss, classified by disturbance type, for the conterminous United States for the period 2003-2011. Disturbance types considered include: stem removal, fire, and stress (for further detail see referenced article). The dataset is distributed as GeoTIFF format files and is based upon data from the University of Maryland Landsat-based Global Forest Change Product and Web-Enabled Landsat Data (WELD). The dataset described here is split into four files representing general United States regions: 'West_US.zip', 'Central_US.zip', 'Southeast_US.zip', and 'Northeast_US.zip'. U.S. regions can be referenced with the file 'US_region_map.jpg'. Each 30 m pixel is classified as one of the following classes: 0 - No loss in the current period, 1 - Stem removal, 2 - Fire, 3 - Stress, and 255 - No data. Further information on classes can be found in the referenced article. Files are in GeoTIFF format using a geographic coordinate system based on the World Geodetic System (WGS84) reference ellipsoid and using the Albers Equal Area projection with standard parallels of 29.5 degrees N and 45.5 degrees N and a central Meridian of 96 degrees W. For further information on the dataset and its format see the referenced article.

Data and Resources

This dataset has no data

Cite this as

Huo, Lian-Zhi, Boschetti, Luigi, Sparks, Aaron M (2019). Dataset: Forest loss classified by forest disturbance type in the conterminous United States from 2003-2011. https://doi.org/10.1594/PANGAEA.898416

DOI retrieved: 2019

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.898416
Author Huo, Lian-Zhi
Given Name Lian-Zhi
Family Name Huo
More Authors
Boschetti, Luigi
Sparks, Aaron M
Source Creation 2019
Publication Year 2019
Resource Type text/tab-separated-values - filename: Huo-etal_2019
Subject Areas
Name: LandSurface

Related Identifiers
Title: Object-Based Classification of Forest Disturbance Types in the Conterminous United States
Identifier: https://doi.org/10.3390/rs11050477
Type: DOI
Relation: IsSupplementTo
Year: 2019
Source: Remote Sensing
Authors: Huo Lian-Zhi , Boschetti Luigi , Sparks Aaron M .