Developing a Semi-automated Random Forest Classification Scheme to Analyze Burned Area Using Landsat Imagery in Southern India
Developing a Semi-automated Random Forest Classification Scheme to Analyze Burned Area Using Landsat Imagery in Southern India
Date
2021
Authors
Earl, Allyson Rae
Contributor
Advisor
Trauernicht, Clay
Department
Natural Resources and Environmental Management
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Keywords
Remote sensing,
Natural resource management,
Geography,
Burned Area,
Fire ecology,
India,
Landsat,
Random Forest,
Remote Sensing
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