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Soil moisture mapping in a semi-arid region, based on ASAR/Wide Swath satellite data

机译:基于ASAR /宽带卫星数据的半干旱区域土壤水分测绘

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In this paper, an operational algorithm is proposed for the mapping of surface moisture over a site in North Africa. A change detection approach is applied, using 160 Envisat ASAR Wide Swath images acquired over a 7-year period. Parameterization of this algorithm is considered for three classes of vegetation cover density (NDVI0.25, 0.25NDVI0.5 and NDVI>0.5), retrieved from SPOT-VGT decadal images. A relative soil moisture index, ranging between 0 and 1, is proposed for each date, with a resolution of 1 km. The retrieved soil moistures are validated by means of ground measurements, as well as ERS and ASCAT soil moisture products.
机译:在本文中,提出了一种运行算法,用于北非部位的地表水分映射。使用改变检测方法,使用7年内获取的160个Envisat ASAR宽条形图像。该算法的参数化被认为是从Spot-VGT Decadal图像检索的三类植被覆盖密度(NDVI <0.25,0.25,0.25,205和NDVI> 0.5)。每个日期提出了相对土壤湿度指数,范围为0和1,分辨率为1公里。通过地面测量和亚申施土壤水分产品,验证检索到的土壤水分。

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