干旱区生态环境知识资源中心(Arid): Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district

Arid

DOI	10.1080/15481603.2022.2126342
	Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district
	Qian, Ximin; Qi, Hongwei; Shang, Songhao; Wan, Heyang; Wang, Ruiping
通讯作者	Shang, SH
来源期刊	GISCIENCE & REMOTE SENSING
ISSN	1548-1603
EISSN	1943-7226
出版年	2022
卷号	59 期号:1 页码:1598-1623
英文摘要	Flood irrigation after crop harvest, e.g. autumn irrigation (AI), is a common irrigation practice in arid and semi-arid regions like Hetao Irrigation District (HID) in Northwest China to increase soil moisture and leach soil salt. Detailed information about the extent, timing, and amount of AI is imperative for modeling agro-hydrological processes and irrigation management. However, little attention is given to the identification of the above AI factors. There are basically three major difficulties in estimating the annual changes in AI, including a suitable index to identify AI, temporal instability of thresholds, and an effective validation method for irrigation timing. Therefore, this study proposes a simple and effective threshold-based method to extract the extent and timing of AI in the HID using MODIS water indices at a daily timescale. The Multi-Band Water Index (MBWI) time series is first reconstructed using an adaptive weighted Savitzky-Golay filter and then used to identify the AI extent and time. The proposed model has a stronger generalization capability both in time and space due to robust thresholds selected from the Z-score normalized feature variable. The model is validated both at pixels generated by the segmentation of Sentinel-derived MBWI using a threshold-based model and at sampling points from the field survey. Results show that the model performed well with an overall accuracy of more than 90.0% for the irrigation area. The overall accuracies of irrigation timing are 76.4% and 91.7% based on the middle-to-late and whole irrigation periods, respectively. We found a decreasing trend in the AI area and a gradual delay in the starting time of AI in the HID, mainly due to changes in cropping patterns, climate, and irrigation fees. Overall, the model is promising in identifying flood irrigation extent and timing in large irrigation districts and is helpful for irrigation scheduling.
英文关键词	Flood irrigation transient water bodies irrigation timing MODIS water index arid agricultural region
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000860402000001
WOS关键词	TIME-SERIES ; SURFACE-WATER ; PADDY RICE ; MODIS ; AREA ; SNOW ; AGRICULTURE ; VALIDATION ; RESOLUTION ; SATELLITE
WOS类目	Geography, Physical ; Remote Sensing
WOS研究方向	Physical Geography ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392962
推荐引用方式 GB/T 7714	Qian, Ximin,Qi, Hongwei,Shang, Songhao,et al. Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district[J],2022,59(1):1598-1623.
APA	Qian, Ximin,Qi, Hongwei,Shang, Songhao,Wan, Heyang,&Wang, Ruiping.(2022).Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district.GISCIENCE & REMOTE SENSING,59(1),1598-1623.
MLA	Qian, Ximin,et al."Multi-year mapping of flood autumn irrigation extent and timing in harvested croplands of arid irrigation district".GISCIENCE & REMOTE SENSING 59.1(2022):1598-1623.