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Watershed scale temporal and spatial stability of soil moisture and its role in validating satellite estimates

机译:流域尺度的土壤水分时空稳定性及其在验证卫星估算中的作用

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Watershed scale soil moisture estimates are necessary to validate current remote sensing products, such as those from the Advanced Microwave Scanning Radiometer (AMSR). Unfortunately, remote sensing technology does not currently resolve the land surface at a scale that is easily observed with ground measurements. One approach to validation is to use existing soil moisture measurement networks and scale these point observations up to the resolution of remote sensing footprints,. As part of the Soil Moisture Experiment 2002 (SMEX02), one such soil moisture gaging system in the Walnut Creek Watershed, Iowa, provided robust estimates of the soil moisture average for a watershed throughout the summer of 2002. Twelve in situ soil moisture probes were installed across the watershed. These probes recorded soil moisture at a depth of 5 cm from June 29, 2002 to August 19, 2002, The sampling sites were analyzed for temporal and spatial stability by several measures including mean relative difference, Spearman rank, and correlation coefficient analysis. Representative point measurements were used to estimate the watershed scale (~ 25 km) soil moisture average and shown to be accurate indicators with low variance and bias of the watershed scale soil moisture distribution. This work establishes the validity of this approach to provide watershed scale soil moisture estimates in this study region for the purposes of satellite validation with estimation errors as small as 3%. Also, the potential sources of error in this type of analysis are explored, This study is a first step in the implementation of large-scale soil moisture validation using existing networks such as the Soil Climate Analysis Network (SCAN) and several Agricultural Research Service watersheds as a basis for calibrating satellite soil moisture products, for networks design, and designing field experiments.
机译:要验证当前的遥感产品(例如来自高级微波扫描辐射计(AMSR)的产品),必须进行分水岭规模的土壤湿度估算。不幸的是,遥感技术目前无法解决地面测量所能轻易观察到的规模。验证的一种方法是使用现有的土壤湿度测量网络,并将这些点的观测结果按比例缩放到遥感足迹的分辨率。作为2002年土壤湿度试验(SMEX02)的一部分,爱荷华州核桃溪流域的一种这样的土壤湿度计系统提供了整个2002年整个夏季流域平均土壤湿度的可靠估计。有十二个现场土壤湿度探测器安装在整个分水岭上。这些探针记录了2002年6月29日至2002年8月19日5厘米深度的土壤水分。通过包括平均相对差,Spearman等级和相关系数分析在内的多种措施对采样点的时间和空间稳定性进行了分析。用代表点测量法估算了流域尺度(〜25 km)的平均土壤水分,显示出是准确的指标,流域尺度的土壤水分分布具有低方差和偏差。这项工作建立了这种方法的有效性,该方法可在该研究区域内提供分水岭规模的土壤湿度估算值,以进行卫星验证,估算误差仅为3%。此外,还探索了此类分析中潜在的误差源。本研究是使用现有网络(例如土壤气候分析网络(SCAN)和几个农业研究服务中心)进行大规模土壤水分验证的第一步。作为校准卫星土壤水分产品,网络设计和野外实验设计的基础。

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