z-logo
open-access-imgOpen Access
Using Landsat-Based Phenology Metrics, Terrain Variables, and Machine Learning for Mapping and Probabilistic Prediction of Forest Community Types in West Virginia
Author(s) -
Faith M Hartley
Publication year - 2022
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.33915/etd.11375
Subject(s) - terrain , random forest , digital elevation model , probabilistic logic , phenology , remote sensing , geography , machine learning , computer science , environmental science , cartography , artificial intelligence , ecology , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom