Classifying Rocky Land Cover Using Random Forest Modeling: Lessons Learned and Potential Applications in Washington, USA

Classifying Rocky Land Cover Using Random Forest Modeling: Lessons Learned and Potential Applications in Washington, USA

Rocky land cover provides vital habitat for many different species, including endemic, vulnerable, or threatened plants and animals; thus, various land management organizations prioritize the conservation of rocky habitat. Despite its importance, land cover classification maps rarely classify rocky...

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Bibliographic Details
Main Authors: Joe V. Celebrezze, Okikiola M. Alegbeleye, Doug A. Glavich, Lisa A. Shipley, Arjan J. H. Meddens
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Remote Sensing
Subjects:
rocky habitat
random forest modeling
land cover classification
Cascade Mountains
Columbia River
Online Access:https://www.mdpi.com/2072-4292/17/5/915

Internet

https://www.mdpi.com/2072-4292/17/5/915

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