Regional-Scale Forest Management Maps for the Continental United States

Fuente: PANGAEA
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Bibliographische Detailangaben
Hauptverfasser: Marsik, Matthew, Staub, Caroline, Kleindl, William, Fu, Chiung-Shiuan, Hall, Jaclyn, Yang, Di, Stevens, Forrest R, Binford, Michael
Format: Dataset Open Access
Sprache:en
Veröffentlicht: PANGAEA 2017
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author Marsik, Matthew
Staub, Caroline
Kleindl, William
Fu, Chiung-Shiuan
Hall, Jaclyn
Yang, Di
Stevens, Forrest R
Binford, Michael
author_facet Marsik, Matthew
Staub, Caroline
Kleindl, William
Fu, Chiung-Shiuan
Hall, Jaclyn
Yang, Di
Stevens, Forrest R
Binford, Michael
collection Datos científicos de ciencias marinas y ambientales
contents One main challenge in environmental and ecological research is to map land use, the human intent to modify the earth's cover, using satellite data. We have mapped forest management, a land use, in the southeastern and northwestern United States, 1.5 million square kilometers, at high spatial. This is a novel study using spectral time series analysis, expert derived training data and a random forest classifier to map forest management, calculate probability and uncertainty of class membership.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_880304
institution PANGAEA
language en
publishDate 2017
publisher PANGAEA
record_format pangaea
spellingShingle Regional-Scale Forest Management Maps for the Continental United States
Marsik, Matthew
Staub, Caroline
Kleindl, William
Fu, Chiung-Shiuan
Hall, Jaclyn
Yang, Di
Stevens, Forrest R
Binford, Michael
File content; File format; File name; File size; Uniform resource locator/link to file; United States of America; USA_cont
One main challenge in environmental and ecological research is to map land use, the human intent to modify the earth's cover, using satellite data. We have mapped forest management, a land use, in the southeastern and northwestern United States, 1.5 million square kilometers, at high spatial. This is a novel study using spectral time series analysis, expert derived training data and a random forest classifier to map forest management, calculate probability and uncertainty of class membership.
title Regional-Scale Forest Management Maps for the Continental United States
topic File content; File format; File name; File size; Uniform resource locator/link to file; United States of America; USA_cont
url https://doi.org/10.1594/PANGAEA.880304