Mapping winter irrigation areas and timing in arid regions using time series remote sensing data
文献类型：期刊论文
| 作者 | Yan, Shaofeng2; Liu, Guilin2; Dong, Jinwei1; Wen, Zhuojian2; Qiu, Xueru2; Li, Dacheng2 |
| 刊名 | AGRICULTURAL WATER MANAGEMENT
 |
| 出版日期 | 2026-04-01 |
| 卷号 | 326页码:110154 |
| 关键词 | Winter irrigation Temporal-spectral segmentation Arid agricultural water management Irrigation mapping |
| ISSN号 | 0378-3774 |
| DOI | 10.1016/j.agwat.2026.110154 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Winter irrigation (WI) is a vital practice for mitigating soil salinization and replenishing soil water storage in arid agroecosystems. However, accurate spatiotemporal monitoring of WI remains challenging because of the transient nature of flood events and spectral interference from snow and ice, which limit the applicability of traditional threshold-based methods. To address these issues, in this study, an automated, event-driven detection framework was developed by integrating the LandTrendr temporal segmentation algorithm with dense Sentinel-2 and Landsat time series. Instead of relying on static thresholds, the model explicitly identifies the abrupt spectral rise associated with irrigation onset, thereby decoupling irrigation signals from background noise. Additionally, a dynamic dual-index strategy (MNDWI/NDWI), guided by ERA5-Land meteorological data, was employed to minimize snowfall interference. Validated across major oases in southern Xinjiang from 2020 to 2024, the framework demonstrated robust performance, achieving an overall accuracy of > 95 % for spatial extent and > 72 % for irrigation timing within a 7-day tolerance. The results further indicate that the pixel-based sensitivity of the method effectively characterizes intrafield irrigation variability, revealing the fine-scale dynamics of water distribution. Furthermore, the threshold-free nature of the algorithm enhances its potential for transferability to other dryland regions. This study provides a reliable, high-resolution solution for supporting precision water management and salinity control strategies in water-limited environments. |
| URL标识 | 查看原文 |
| WOS关键词 | DIFFERENCE WATER INDEX ; SOUTHERN XINJIANG ; SNOW COVER ; LAND ; AGRICULTURE ; EXTENT ; VEGETATION ; EFFICIENCY ; FREQUENCY ; CROPLANDS |
| WOS研究方向 | Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001702443100001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221185]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Liu, Guilin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.South China Normal Univ, Sch Geog, Guangzhou 510631, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yan, Shaofeng,Liu, Guilin,Dong, Jinwei,et al. Mapping winter irrigation areas and timing in arid regions using time series remote sensing data[J]. AGRICULTURAL WATER MANAGEMENT,2026,326:110154. |
| APA | Yan, Shaofeng,Liu, Guilin,Dong, Jinwei,Wen, Zhuojian,Qiu, Xueru,&Li, Dacheng.(2026).Mapping winter irrigation areas and timing in arid regions using time series remote sensing data.AGRICULTURAL WATER MANAGEMENT,326,110154. |
| MLA | Yan, Shaofeng,et al."Mapping winter irrigation areas and timing in arid regions using time series remote sensing data".AGRICULTURAL WATER MANAGEMENT 326(2026):110154. |
入库方式： OAI收割
来源：地理科学与资源研究所
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