Deep Learning Classification of Cheatgrass Invasion in the Western United States Using Biophysical and Remote Sensing Data

Deep Learning Classification of Cheatgrass Invasion in the Western United States Using Biophysical and Remote Sensing Data

Cheatgrass (<i>Bromus tectorum</i>) invasion is driving an emerging cycle of increased fire frequency and irreversible loss of wildlife habitat in the western US. Yet, detailed spatial information about its occurrence is still lacking for much of its presumably invaded range. Deep learni...

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Bibliographic Details
Main Authors: Kyle B. Larson, Aaron R. Tuor
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
deep learning
machine learning
Random Forest
supervised classification
logistic regression
land cover classification
Online Access:https://www.mdpi.com/2072-4292/13/7/1246

Internet

https://www.mdpi.com/2072-4292/13/7/1246

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