基于作物水分胁迫指数的土壤含水量遥感估算

陈鹤; 林人财; 魏征; 蔡甲冰; 张宝忠; 李梁

引用本文:	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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基于作物水分胁迫指数的土壤含水量遥感估算
陈鹤¹, 林人财¹, 魏征¹, 蔡甲冰¹, 张宝忠¹, 李梁²
1.中国水利水电科学研究院;2.华北水利水电大学

摘要:

摘要：【目的】及时准确获取河套灌区解放闸灌域土壤含水量对指导农业灌溉及提高地区农业水资源利用效率具有重要意义。【方法】利用MOD16 ET遥感数据和气象数据，结合Penman-Monteith（P-M）模型，基于作物水分胁迫指数（CWSI）反演河套灌区解放闸灌域土壤含水量，并对不同下垫面（葵花、玉米、小麦、甜椒）土壤含水量进行验证。【结果】CWSI的空间分布与土壤含水量相反，即CWSI大的区域，土壤含水量小；小麦下垫面遥感估算的土壤含水量效果较好，决定系数（R2）为0.748，葵花次之，R2为0.357；灌溉次数较多的玉米和甜椒，土壤含水量估算结果较差，说明该方法对于土壤干旱较为敏感，适用于灌水较少且耐旱的作物下垫面土壤含水量估算。【结论】可为指导河套灌区解放闸灌域农业灌溉及提高农业水资源利用效率提供科学参考。

关键词: 土壤含水量；CWSI；MOD16 ET；解放闸灌域

DOI：

分类号:S161

基金项目:国家重点研发计划(2021YFB3900602),中国水利水电科学研究院流域水循环模拟与调控国家重点实验室自主研究课题(SKL2022TS13),中国水科院基本科研业务费专项项目(ID0145B022021, ID0145B052021)

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