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机译:GPS-IR土壤水分反演的验证:去除植被影响的不同算法的比较
Department of Geological Sciences, University of Colorado, Boulder, CO, USA;
Department of Aerospace Engineering Sciences, University of Colorado, Boulder, CO, USA;
Department of Geological Sciences, University of Colorado, Boulder, CO, USA;
Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, USA;
Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, USA;
Soil moisture; Vegetation mapping; Signal to noise ratio; Algorithm design and analysis; Global Positioning System; Vegetation; Instruments;
机译:高分辨率空气载水分检索对微量空气湿度检索在SMAP验证实验期间对污染土壤水分的比较2016(Smapvex16)
机译:近地表土壤水分对GPS SNR数据的影响:土壤水分反演算法的发展
机译:利用多时相光学和热红外观测对植被和土壤质地对表层土壤水分获取的影响
机译:植被下的土壤水分检索:验证Tereno Visioraties
机译:利用极化雷达反演植被下的土壤水分。
机译:通过与澳大利亚的模型土壤湿度估算值进行比较评估从C波段SAR取回土壤水分的预测误差
机译:通过近地表观测的同化来检索一维土壤水分剖面:检索算法的比较