Long‐Term Monitoring of the Annual Irrigated Cropland Extent in Fragmented and Heterogeneous Arid Landscapes Using Machine Learning and Landsat Imagery

Abstract Understanding the long‐term spatiotemporal evolution of irrigated cropland is essential for water resource management, but this knowledge remains elusive in most water‐stressed arid areas. In this study, we introduced an integrated framework for long‐term and field‐scale mapping of annual i...

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Bibliographic Details
Main Authors: Meibao Tan, Youhua Ran, Min Feng, Guotao Dong, Deyan Du, Gaofeng Zhu, Yanyun Nian, Xin Li
Format: Article
Language:English
Published: Wiley 2024-06-01
Series:Water Resources Research
Subjects:
Online Access:https://doi.org/10.1029/2023WR036945
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