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Cite this article:陈鹤,林人财,魏征,等.基于作物水分胁迫指数的土壤含水量遥感估算[J].灌溉排水学报,0,():-.
Chen He,Lin Rencai,Wei Zheng,et al.基于作物水分胁迫指数的土壤含水量遥感估算[J].灌溉排水学报,0,():-.
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DOI:
Remote Sensing Estimation of Soil Water Content Based on Crop Water Stress Index
Chen He1, Lin Rencai1, Wei Zheng1, Cai Jiabing1, Zhang Baozhong1, Li Liang2
1.China Institute of Water Resources and Hydropower Research;2.North China University of Water Resources and Electric Power
Abstract:
Abstract: 【Objective】Timely and accurate acquisition of soil water content in the Jiefangzha Irrigation Field of the Hetao Irrigation District is of great significance for guiding regional agricultural irrigation and improving the utilization efficiency of agricultural water resources.【Method】Using MOD16 ET and surface meteorological data, combined with the P-M model, based on the crop water stress index (CWSI), the soil water content in the Jiefangzha Irrigation Field of the Hetao Irrigation District in 2014 was inverted. The soil water content was verified by different underlying surfaces (sunflower, corn, wheat, and sweet pepper). 【Result】The results showed that the distribution trend of CWSI and soil water content was opposite, that is, the larger CWSI, the small soil water content was, and vice versa. The effect of soil water content estimated by remote sensing on the underlying surface of wheat was better, and the determination coefficient (R2) was 0.748, followed by sunflower (R2 = 0.357). For corn and sweet pepper with more irrigation times, the estimation results based on CWSI are poor, indicating that this method is more sensitive to soil drought and is suitable for soil water content estimation of crops with less irrigation and drought tolerance. 【Conclusion】It can provide a scientific reference for guiding the agricultural irrigation and improving the utilization efficiency of agricultural water resources in the Jiefangzha Irrigation Field of the Hetao Irrigation District.
Key words:  soil water content; CWSI; MOD16 ET; the Jiefangzha Irrigation Area