Remote sensing monitoring of irrigated area in the non-growth season and of water consumption analysis in a large-scale irrigation district

作者：Li He, Qingfeng Miao, Haibin Shi, Xianyue Li, Shengwei Zhang, Fengxia Zhang, Huailiang Bu, Pei Wang, Lin Yang, Yali Wang, Heng Du, Tong Wang, Weiying Feng · 发表于：Agricultural Water Management · 年份：2024 · DOI：10.1016/j.agwat.2024.109020 · 被引用次数：19 · 研究领域：Flood Risk Assessment and Management、Remote Sensing and Land Use、Remote Sensing in Agriculture

Globally, water scarcity threatens food security, especially in arid and semi-arid food-producing regions, such as the Hetao Irrigation District (HID), where the water consumption during the non-growth season (spring irrigation, autumn irrigation) accounts for more than 30 % of the total irrigation volume. Meanwhile, mapping the characteristics of spatial and temporal evolution of the area of cropland irrigated in the spring and autumn and the pattern of water consumption is crucial for strengthening the management of agricultural water use. Evaporation and infiltration of irrigation water are difficult to capture in time due to insufficient timeliness or accuracy of single remote sensing data. This study integrates seven remote sensing datasets (Landsat5, Landsat7, Landsat8, HJ-1A/B, GF-1, Sentinel-2 and MODIS) for the first time to build a high spatial-temporal resolution dataset, and combines the water index NDWI and MNDWI to extract the maximum water range formed after irrigation by manually adjusting the threshold method. In addition to the global land use/cover dataset (GLC FCS30–1985_2020), the cropland layer was superimposed to accurately identify the cropland spring irrigation and autumn irrigation range from 2000 to 2021 in the HID. In the past 20 years, spring-irrigated (SI) areas increased by 1012.60 km 2 (+49.96 %), and the autumn-irrigated (AI) areas decreased by 512.63 km 2 (-11.02 %). Combined with the quantity of water diversion and displacement, the characte...