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Mapping long-term irrigated cropland dynamics in the Yellow River Basin by integrating a nonlinear LST–NDVI feature space with precipitation constraints

delete2026-08-11
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OA
AI
X
Xinguo Chen
Y
Yanbin Li
王松林 (Songlin Wang)
Y
Yejian Huang
Q
Quanzhong Huang
D
Dongyang Ren *
DOI:10.1016/j.ecolind.2026.115305delete
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Abstract

Abstract

En 中文
• Reconstructing quadratic polynomial dry/wet edge equations for the LST–NDVI feature space across different climatic zones. • Integrating TVDI with a 7-day cumulative precipitation threshold successfully distinguished irrigation-induced wetting signals. • The proposed framework achieved reliable long-term irrigation mapping at the basin scale based on the GEE cloud platform. • Spatiotemporal dynamics of irrigated areas exhibited obvious heterogeneity driven by climate, topography, and policies.
Keywords:
Irrigated cropland mapping
TVDI
LST-NDVI feature space
GEE
Yellow River Basin
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Journal

Ecological Indicators cover
Ecological Indicators
IF:
7.4
Papers:
1.3W
Citations:
7.1W

Organization

M
ministry of water resources
Scholars:
1.4K
Papers: 987
Citations: 3
C
china agricultural university
Scholars:
4.9W
Papers: 2.9W
Citations: 43
N
North China University of Water Resources and Electric Power
Scholars:
2.4K
Papers: 890
Citations: 3.2K
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