School of Civil and Environmental Engineering, University of New South Wales, Sydney 2052, Australia,Department of Hydrology and Geo-Environmental Sciences, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, Amsterdam 1081 HV, Netherlands,Black Mountain Laboratory, CSIRO Land and Water, GPO Box 1666, Canberra, ACT 2601, Australia;
Department of Hydrology and Geo-Environmental Sciences, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, Amsterdam 1081 HV, Netherlands;
Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Gusshaustrasse 27-29,Vienna A-1040, Austria;
Department of Hydrology and Geo-Environmental Sciences, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, Amsterdam 1081 HV, Netherlands;
Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Gusshaustrasse 27-29,Vienna A-1040, Austria;
School of Civil and Environmental Engineering, University of New South Wales, Sydney 2052, Australia;
Climate Change Research Centre, University of New South Wales, Sydney 2052, Australia;
Black Mountain Laboratory, CSIRO Land and Water, GPO Box 1666, Canberra, ACT 2601, Australia;
soil moisture; microwave; satellite observations; long term;
机译:吸收主动和被动微波观测值,以改善土壤水分和作物生长的估算
机译:利用荷兰东部的主动/被动微波观测资料对土壤湿度进行测绘
机译:被动和主动微波结合观测经典土壤中的水分
机译:通过结合被动和活性微波观测改善卫星土壤水分估算(1992-2008)
机译:使用主动卫星微波图像和光学传感器输入来估算草丛草原土壤湿度。
机译:结合有源无源微波和光学植被遥感产品与陆面模型的高分辨率土壤水分监测
机译:通过混合基于无源和有源微波卫星的检索来开发改进的土壤湿度数据集
机译:基于土壤水分模拟的被动(smOs)和主动(asCaT)卫星微波土壤水分反演的全球尺度比较(mERRa-Land)。