国土资源遥感Issue(2)：27-32,6.DOI:10.6046/gtzyyg.2014.02.05
植被覆盖区土壤水分反演研究--以北京市为例
Soil moisture inversion in the vegetation-covered area:A case study of Beijing City
摘要
Abstract
Taking Beijing as the study area, the authors developed a method of soil moisture inversion by using Radar data and optical remote sensing images in the vegetation -covered area. Firstly, NDWI was extracted by using homochronous optical images, and then water - cloud model was used to eliminate the contribution of backscattering coefficients caused by the vegetation. Secondly, HH and HV backscattering coefficients were employed to construct the soil moisture inversion model in consideration of surface roughness based on backscattering database built by AIEM model and Oh model. Then the simulating data were used to validate the accuracy of this model. The result shows that the RMSE and relative error of HH is 0. 044 and 15. 5%, and the RMSE and relative error of HV is 0. 057 and 20. 3% respectively. It is proved that the result of using HH backscattering coefficient is much better than that of using HH backscattering coefficient.关键词
植被覆盖区/土壤水分/反演/water-cloud模型Key words
vegetation-covered area/soil moisture/inversion/water-cloud model分类
信息技术与安全科学引用本文复制引用
蒋金豹,张玲,崔希民,蔡庆空,孙灏..植被覆盖区土壤水分反演研究--以北京市为例[J].国土资源遥感,2014,(2):27-32,6.基金项目
国家自然科学基金项目(编号:41101397,41071327)和国际科技合作项目(编号:2010DFA32920)资助。 （编号:41101397,41071327）
