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为准确、快速提取大范围裸露地表土壤水分空间分布,以河套平原巴彦淖尔市杭锦后旗陕坝镇灌区土壤水分四极化精细模式雷达监测为例,研究基于RADARSAT-2数据土壤水分提取的技术与方法,选择AIEM模型作为研究区裸露地表土壤水分反演模型的基础,建立适合河套灌区裸露地表土壤水分微波散射的经验模型。应用经验模型对河套灌区地表水分进行反演研究并与实测数据进行相关性分析。结果表明:极化组合VV-VH的相关程度高达0.931 1,经验模型能够满足土壤水分监测的需要,优于传统土壤水分分类方法,促进了极化微波遥感在土壤水分监测中的开拓应用。
In order to accurately and rapidly extract the spatial distribution of soil moisture on a large area of bare surface, taking the soil four-polarization fine pattern radar monitoring in the Irrigation Area of Shaanxi Province in Hangjinhou Banner, Bayannur City, Hetao Plain as an example, the technology of soil moisture extraction based on RADARSAT-2 data was studied. Method, choosing AIEM model as the foundation of the model of soil surface soil moisture inversion in the study area, and establishing the empirical model suitable for the microwave scattering of bare surface soil moisture in Hetao irrigation area. The empirical model is applied to the inversion of surface water in Hetao irrigation area and the correlation analysis is carried out with the measured data. The results show that the correlation degree of polarization VV-VH is as high as 0.931 1. The empirical model can meet the needs of soil moisture monitoring and is superior to the traditional soil moisture classification method, which promotes the pioneering application of polarization microwave remote sensing in soil moisture monitoring.