Arid
DOI10.1016/j.agwat.2024.109010
Extraction of grassland irrigation information in arid regions based on multi-source remote sensing data
Fu, Di; Jin, Xin; Jin, Yanxiang; Mao, Xufeng
通讯作者Jin, X
来源期刊AGRICULTURAL WATER MANAGEMENT
ISSN0378-3774
EISSN1873-2283
出版年2024
卷号302
英文摘要Irrigation is a vital measure for maintaining grassland productivity in arid and semi-arid regions. Grasslands typically have characteristics such as unclear boundaries, complex vegetation types, and relatively small irrigation amounts, making it challenging to extract irrigation information. Currently, research on extracting grassland irrigation information is scarce. This study proposes a method for extracting grassland irrigation information using high spatiotemporal resolution (30 m, 1 day) downscaled surface soil moisture data, combined with Landsat 8/9 and Sentinel 1/2 data. This method was applied to extract the irrigation area, timing, and frequency of grasslands in the Delingha Piedmont, northwestern China. The results showed that the overall classification accuracy of irrigated grassland was 93.43%, and the kappa coefficient was 0.91, indicating high extraction accuracy. The average values of recall, precision, and F-score for irrigation timing and frequency were 82.54%, 72.25%, and 77.03%, respectively, with most irrigation events accurately identified, indicating commendable overall efficacy. The combined use of multi-source remote sensing data is crucial for the extraction of grassland irrigation information. Among these, The high spatiotemporal resolution downscaled surface soil moisture data, by providing detailed spatiotemporal surface soil moisture dynamics, demonstrate a potent capacity for capturing irrigation events, thus effectively enhancing the accuracy of grassland irrigation data extraction.
英文关键词Surface Soil Moisture Irrigated Grassland Irrigation Timing Irrigation Frequency
类型Article
语种英语
开放获取类型hybrid
收录类别SCI-E
WOS记录号WOS:001297696400001
WOS关键词SOIL-MOISTURE ; TIME-SERIES ; SATELLITE ; MODEL ; WATER ; CLASSIFICATION ; PRODUCTIVITY ; SENTINEL-2 ; IMAGERY ; AREAS
WOS类目Agronomy ; Water Resources
WOS研究方向Agriculture ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/402687
推荐引用方式
GB/T 7714
Fu, Di,Jin, Xin,Jin, Yanxiang,et al. Extraction of grassland irrigation information in arid regions based on multi-source remote sensing data[J],2024,302.
APA Fu, Di,Jin, Xin,Jin, Yanxiang,&Mao, Xufeng.(2024).Extraction of grassland irrigation information in arid regions based on multi-source remote sensing data.AGRICULTURAL WATER MANAGEMENT,302.
MLA Fu, Di,et al."Extraction of grassland irrigation information in arid regions based on multi-source remote sensing data".AGRICULTURAL WATER MANAGEMENT 302(2024).
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