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以地域特色突出的新疆渭干河-库车河三角洲绿洲为研究区,联合使用雷达数据和光学遥感数据,对干旱区绿洲土壤和植被水分信息进行提取。在同期光学遥感影像数据提取植被归一化差分水分指数基础上,利用“水-云模型”从雷达数据总的后向散射中去除植被影响,建立土壤后向散射系数与土壤含水量的关系,相关系数为HH极化R2=0.5227,HV极化R2=0.3277。结果表明利用C波段HH极化雷达影像数据结合光学影像数据,进行干旱半干旱地区棉花、玉米等农作物种植区地表土壤水分反演时,在中等覆盖条件下去除植被影响有较好的效果。
Taking the Wegan River and Kuqa River delta oasis with prominent geographical features as the research area, the combined use of radar data and optical remote sensing data to extract the information of soil and vegetation water content in the oasis in arid area. Based on the extraction of vegetation normalized difference moisture index by optical remote sensing image data in the same period, the effect of vegetation was removed from the total backscatter of radar data using “water-cloud model”, and the soil backscatter coefficient and soil water content The correlation coefficient was HH polarization R2 = 0.5227 and HV polarization R2 = 0.3277. The results show that using C-band HH polarimetric radar image data combined with optical image data, the effect of vegetation removal under medium coverage conditions is better when the surface soil moisture retrieval is carried out in cropland of cotton and corn in arid and semi-arid areas.