Arid
项目编号41301363
基于主动微波遥感的土壤盐分定量反演研究
吴月茹
主持机构中国科学院寒区旱区环境与工程研究所
开始日期2014
结束日期2016
资助经费250000(CNY)
项目类别青年科学基金项目
资助机构CN-NSFC(国家自然科学基金)
语种中文
国家中国
英文简介As one main type of land degradation, soil salinization has being to be a critical scientific issue which plays an important impact on socio-economic, ecological environment and modern agriculture development. The strong correlation between radar backscattering coefficient and soil dielectric constant makes the active microwave remote sensing, especially the multi-dimensional synthetic aperture radar (SAR), to be a promising tool to quantitatively monitor soil salinity amount. However, till now, due to the lack of the knowledge of the dielectric properties of saline soil and the effect of salt on the soil backscattering coefficient, a universal algorithm and model for soil salinity retrieval had still not yet been developed. This project aims to revise the imaginary part of the dielectric constant in Dobson's model based on the understanding of the dielectric property of saline soil, via the measurement and analysis of dielectric properties of the soil samples with different moisture and salt content under the controlled experiment in laboratory. Then, with the help of the soil moisture inversion method and the AIEM model, by reducing the effect of soil roughness on SAR image and using multi-phase SAR images, we will finally develop a soil salt inversion algorithm for active microwave remote sensing data (SAR). And the accuracy of the proposed inversion algorithm will be evaluated by the synchronized experimental measurement results.
中文关键词主动微波遥感 ; 土壤盐分 ; 土壤含水量 ; 土壤粗糙度
来源机构中国科学院西北生态环境资源研究院
资源类型项目
条目标识符http://119.78.100.177/qdio/handle/2XILL650/346615
推荐引用方式
GB/T 7714
吴月茹.基于主动微波遥感的土壤盐分定量反演研究.2014.
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