Mapping predicted ecological states at landscape scales using remote‐sensing data and machine learning

Mapping predicted ecological states at landscape scales using remote‐sensing data and machine learning

Abstract Dryland ecosystems, covering 45% of the Earth's land and supporting over one‐third of the global population, face significant threats from land degradation and ecological state change. Managing these ecosystems is complex, and science‐based frameworks like Ecological Site Descriptions...

Full description

Saved in:
Bibliographic Details
Main Authors: N. J. Kleist, C. T. Domschke, A. C. Knight, T. W. Nauman, M. C. Duniway, S. K. Carter
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Ecosphere
Subjects:
ecological site
ecological state
forest management
rangeland management
remote‐sensing
state‐and‐transition model
Online Access:https://doi.org/10.1002/ecs2.70243
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items