Spatiotemporal Land Use Change Detection Through Automated Sampling and Multi-Feature Composite Analysis: A Case Study of the Ebinur Lake Basin

Spatiotemporal Land Use Change Detection Through Automated Sampling and Multi-Feature Composite Analysis: A Case Study of the Ebinur Lake Basin

Land use change plays a pivotal role in understanding surface processes and environmental dynamics, exerting considerable influence on regional ecosystem management. Traditional monitoring approaches, which often rely on manual sampling and single spectral features, exhibit limitations in efficiency...

Full description

Saved in:
Bibliographic Details
Main Authors: Yi Yang, Liang Zhao, Ya Guo, Shihua Liu, Xiang Qin, Yixiao Li, Xiaoqiong Jiang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
sample automation
feature optimization
multi-feature composite
image classification
land use change
remote sensing
Online Access:https://www.mdpi.com/1424-8220/25/14/4314
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items