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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Global Soil Moisture From the Aquarius/SAC-D Satellite: Description and Initial Assessment
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Global Soil Moisture From the Aquarius/SAC-D Satellite: Description and Initial Assessment

机译:水瓶座/ SAC-D卫星的全球土壤湿度:描述和初步评估

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Aquarius satellite observations over land offer a new resource for measuring soil moisture from space. Although Aquarius was designed for ocean salinity mapping, our objective in this investigation is to exploit the large amount of land observations that Aquarius acquires and extend the mission scope to include the retrieval of surface soil moisture. The soil moisture retrieval algorithm development focused on using only the radiometer data because of the extensive heritage of passive microwave retrieval of soil moisture. The single channel algorithm (SCA) was implemented using the Aquarius observations to estimate surface soil moisture. Aquarius radiometer observations from three beams (after bias/gain modification) along with the National Centers for Environmental Prediction model forecast surface temperatures were then used to retrieve soil moisture. Ancillary data inputs required for using the SCA are vegetation water content, land surface temperature, and several soil and vegetation parameters based on land cover classes. The resulting global spatial patterns of soil moisture were consistent with the precipitation climatology. Initial assessments were performed using observations from the U.S. Department of Agriculture Little Washita and Little River watershed soil moisture networks. Results showed good performance by the algorithm for these land surface conditions for the period of August 2011–June 2013 ( , , and ) . This radiometer-only soil moisture product will serve as a baseline for continuing research on both active and combined passive–active soil moisture algorithms. The products are routinely availab- e through the National Aeronautics and Space Administration data archive at the National Snow and Ice Data Center.
机译:水瓶座卫星对陆地的观测为测量太空中的土壤水分提供了新的资源。尽管水瓶座是专为海洋盐度测绘而设计的,但我们的研究目的是利用水瓶座获得的大量陆地观测资料,并将其任务范围扩大到包括表层土壤水分的获取。由于被动微波获取土壤水分的广泛经验,土壤水分获取算法的开发仅集中在使用辐射计数据。使用Aquarius观测值实现了单通道算法(SCA),以估算表层土壤湿度。然后使用三个光束的水瓶座辐射计观测值(经过偏置/增益修改后)以及国家环境预测中心的模型预测的地表温度来获取土壤水分。使用SCA所需的辅助数据输入包括植被含水量,地表温度以及基于土地覆盖类别的若干土壤和植被参数。由此产生的全球土壤水分空间格局与降水气候一致。初步评估是根据美国农业部Little Washita和Little River流域土壤水分网络的观察进行的。结果显示,该算法在2011年8月至2013年6月(,和)期间对这些地面条件的性能良好。这种仅用于辐射计的土壤水分产品将作为继续研究主动和联合被动-主动土壤水分算法的基础。这些产品通常可以通过国家冰雪数据中心的国家航空航天局数据档案库获得。

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