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Preliminary analysis of distributed in situ soil moisture measurements

机译:分布式原位土壤水分测量结果的初步分析

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Surface soil moisture content is highly variable in both space and time.Remote sensing can provide an effective methodology for mapping surfacemoisture content over large areas but ground based measurements are requiredto test its reliability and to calibrate retrieval algorithms. Recently, wehad the opportunity to design and perform an experiment aimed at jointlyacquiring measurements of surface soil water content at various locationsand remotely sensed hyperspectral data. The area selected for the experimentis located in central Umbria and it extends for 90km2. For the area,detailed lithological and multi-temporal landslide inventory maps wereavailable. We identified eight plots where measurements of soil watercontent were made using a Time Domain Reflectometer (TDR). The plots rangein size from 100m2 to 600m2, and cover a variety of topographicand morphological settings. The TDR measurements were conducted during fourdays, on 5 April, 15 April, 2 May and 3 May 2004. On 3 May the NERCairborne CASI 2 acquired the hyperspectral data. Preliminary analysisconcerning the matching between the landslides and the soil moisture werereported. Statistical and geostatistical analysis investigating thespatial-temporal soil moisture distribution were performed. These resultswill be compared with the data of surface temperature obtained from theremotely sensed hyperspectral sensor.
机译:地表土壤水分含量在空间和时间上都有很大的变化。遥感可以提供一种有效的方法来绘制大面积的地表水分含量,但是需要通过地面测量来测试其可靠性并校准检索算法。最近,我们有机会设计和执行一项旨在共同获取各个位置的地表土壤含水量测量值和遥感高光谱数据的实验。实验选择的区域位于翁布里亚中部,延伸90km 2 。对于该地区,可以获得详细的岩性和多时间滑坡清单图。我们确定了八个用时域反射仪(TDR)进行土壤含水量测量的地块。地块的大小从100m 2 到600m 2 不等,涵盖了各种地形和形态学设置。在2004年4月5日,4月15日,5月2日和5月3日的4天中进行了TDR测量。5月3日,NERCairborne CASI 2获得了高光谱数据。初步分析了滑坡与土壤水分之间的匹配关系。进行了时空土壤水分分布的统计和地统计学分析。这些结果将与从遥感的高光谱传感器获得的表面温度数据进行比较。

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