Soil Moisture Retrieval with Backscatter Modeling and Satellite Datasets in Zoige Wetland, China
Soil Moisture Retrieval with Backscatter Modeling and Satellite Datasets in Zoige Wetland, China
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利用反向散射模型和卫星数据集反演中国若尔盖湿地的土壤湿度
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Hong Li
中科院分区：
文献类型：
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作者：
Yuanyuan Yang;Yong F. Wang;Xinyi Miao;Hong Li
利用PALSAR辐射地形改正数据和Landsat-5地表反射率数据，结合水云模式雷达后向散射模型，估算了2007年至2009年若尔盖湿地土壤水分。利用L-HH极化RTC数据计算的土壤水分适合于若尔盖湿地土壤水分的评价。2007年生长季土壤水分具有相似的时空格局和变化趋势，年内差异很小。然而，从2007年到2009年，年际土壤水分大幅增加。气温和降水的变化是造成这一现象的原因。
Soil moisture of Zoige wetland, China from 2007 to 2009 was estimated using PALSAR radiometrically terrain-corrected (RTC) and Landsat-5 surface reflectance data coupled with water cloud model (WCM) radar backscattering model. Soil moisture derived from L-HH polarization RTC data was suitable for assessing the soil moisture in Zoige wetland. In 2007, the soil moisture in the growing season had similar spatiotemporal patterns and trends, and the intra-annual difference of soil moisture was very small. However, the inter-annual soil moisture increased from 2007 to 2009 substantially. Variations of temperature and precipitation were attributed to the causes.