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### 干旱区稀疏植被覆盖条件下地表土壤水分微波遥感估算

1. 新疆大学资源与环境科学学院 绿洲生态教育部重点实验室, 新疆 乌鲁木齐 830046
• 收稿日期:2012-09-26 修回日期:2012-11-20 出版日期:2013-07-20 发布日期:2013-07-20
• 作者简介:

作者简介：丁建丽(1974-),男,山东成武县人,博士,教授,主要从事干旱区遥感与GIS应用研究。E-mail:watarid@xju.edu.cn

• 基金资助:
国家自然科学基金重点项目(41261090,41130531)、霍英东教育基金（121018）、教育部新世纪优秀人才支持计划、新疆维吾尔自治区高校科研计划青年教师科研培育基金项目(XJEDU2012S03)资助

### Evaluation of Soil Moisture Contents Under Sparse Vegetation Coverage Conditions Using Microwave Remote Sensing Technology in Arid Region

Jian-li DING(), Yuan YAO

1. Key Laboratory of Oasis Ecology Ministry, College of Resource and Environment Sciences, Xinjiang University, Urumqi, Xinjiang 830046, China
• Received:2012-09-26 Revised:2012-11-20 Online:2013-07-20 Published:2013-07-20

Abstract:

Soil moisture information can be extracted by microwave remote sensing technology; however, the problem is how to eliminate the influence of ground surface roughness and vegetation coverage on the backscattering data. Ground surface roughness is the key factor determining the data accuracy in northwest China where the vegetation coverage is small. Thus, evaluating and modeling the surface roughness parameters with a high precision is an important task for the arid land soil moisture study. Using IEM model, the response relationships between the different types of backscattering coefficient and the radar systematic coefficient and soil surface parameters are simulated. Results show that the backscattering coefficient is different from these parameters’ change. Based on these achievements, the best radar parameters which can reflect the soil moisture are put forwarded. The corresponding relationships between the radar backscattering parameters and soil moisture contents, ground surface roughness parameters (such as, mean root height method, persistence length method and combined roughness method) are analyzed, and the experimental model which can reflect the soil moisture of relatively smooth ground surface is developed by using least squares method and non-linear regression method. At last, for a ground truth testing analysis, using the obtained RADAR-SAT2 data, the experimental model is applied in Weigan River and Kuch River delta oasis area. Results show that the data obtained from the experimental model has relatively high corresponding relationship with the soil moisture data collected in situ, and the determination coefficient is up to 0.886, implying the experimental model can be used in relatively wide scale for analyzing and modeling the soil moisture contents of some bare soil surface or the area whose vegetation density is low and vegetation coverage is small.

• TP751.1