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Mapping surface soil moisture over the Gourma mesoscale site (Mali) by using ENVISAT ASAR data

机译:利用ENVISAT ASAR数据绘制古马中尺度站点(马里)上的地表土壤水分

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The potentialities of ENVISAT ASAR (Advanced Synthetic Aperture Radar)multi-angle data for mapping surface soil moisture (SSM) in Sahelian rangelandsare investigated at medium scale (30 000 km2). The Wide Swath data areselected to take advantage of their high temporal repetitivity (about 8 daysat the considered scale) associated to a moderate spatial resolution (150 m).In the continuity of previous studies conducted at a local scale in the sameregion, SSM maps are here processed over the whole AMMA Gourma mesoscale siteat 1 km resolution scale. Overall, the generated maps are found to be in goodagreement with field data, EPSAT-SG (Estimation des Pluies par SATellite –Second Generation) rainfall estimates and ERS (European Remote Sensing) WindScatterometer (WSC) SSM products. The present study shows that the spatialpattern of SSM can be realistically estimated at a kilometric scale. Theresulting SSM maps are expected to provide valuable information forinitialisation of land surface models and the estimation of the spatialdistribution of radiative fluxes. Particularly, SSM maps could help todesaggregate low-resolution products such as those derived from WSC data.
机译:在中等规模(30000 km 2 )上,研究了ENVISAT ASAR(高级合成孔径雷达)多角度数据在萨赫勒草原土地表层土壤水分(SSM)测绘中的潜力。选择“宽幅”数据是为了利用它们具有较高的时间重复性(在所考虑的尺度下约为8天)和适度的空间分辨率(150 m)。在同一地区的局部规模上进行的先前研究的连续性,SSM图是这里以1 km的分辨率在整个AMMA Gourma中尺度站点上进行了处理。总体而言,发现生成的地图与现场数据,EPSAT-SG(卫星第二代估算)降雨量估算和ERS(欧洲遥感)风向散射仪(WSC)SSM产品具有良好的一致性。本研究表明,SSM的空间格局可以在千米尺度上进行实际估算。期望得到的SSM图将为初始化地表模型和估算辐射通量的空间分布提供有价值的信息。特别是,SSM映射可以帮助分解低分辨率产品,例如从WSC数据衍生的产品。

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