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...
Saved in:
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gap-filling of land surface temperature in arid regions by combining Landsat 8 and 9 imageries
by: Fahime Arabi Aliabad, et al.
Published: (2024-01-01) -
Characterization of Landsat-8 and Landsat-9 Reflectivity and NDVI Continuity Based on Google Earth Engine
by: Qing Zhang, et al.
Published: (2025-01-01) -
A tool for global and regional Landsat 7 and Landsat 8 cross-sensor harmonization
by: Galen Richardson, et al.
Published: (2025-12-01) -
Inter-annual changes and growth trends mapping of mangrove using Landsat time series imagery
by: Xiaohui Huang, et al.
Published: (2025-12-01) -
Spatiotemporal Fusion of Multi-Temporal MODIS and Landsat-8/9 Imagery for Enhanced Daily 30 m NDVI Reconstruction: A Case Study of the Shiyang River Basin Cropland (2022)
by: Peiwen Mu, et al.
Published: (2025-04-01)