A novel approach to field data augmentation with remote sensing and machine learning in rangelands

A novel approach to field data augmentation with remote sensing and machine learning in rangelands

Rangelands provide essential ecosystem services, supporting biodiversity, sequestering carbon, and sustaining millions of livelihoods worldwide. However, these ecosystems are increasingly threatened by woody plant encroachment (WPE), which impacts forage availability, habitat quality, and other ecos...

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Bibliographic Details
Main Authors: Hailey E. Schmidt, Javier Osorio Leyton, Efrain Noa Yarasca, Sorin C. Popescu, Justinn J. Jones, Justin P. Wied, Xinyuan Wu
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
Subjects:
Machine learning
Random forest
Remote sensing
Labeled data
Classification
Rangelands
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125003620
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