基于Sentinel 1数据的SMAP主-被动方法的高分辨率增强产品及其应用

N. Das, D. Entekhabi, Seungbum Kim, T. Jagdhuber, R. Dunbar, S. Yueh, A. Colliander
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引用次数: 6

摘要

SMAP项目正在研究一种新的和增强的高分辨率(3公里和1公里)土壤湿度产品。该产品将结合SMAP辐射计数据和Sentinel-1A和-1B数据,并将使用传统的SMAP主-被动方法。然而,为了适应Sentinel-1A和-1B c波段SAR数据,对SMAP主-被动算法进行了修改。对SMAP和Sentinel主-被动算法进行了试验,结果表明SMAP和Sentinel主-被动算法对高分辨率土壤湿度数据具有很大的应用前景。该产品的测试版将于2017年3月底向公众发布。这种高分辨率(1公里和3公里)的土壤湿度产品将对农业、洪水、流域和牧场管理以及生态和水文应用有用。将从提议的产品中展示上述地球物理应用的具体示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-resolution enhanced product based on SMAP active-passive approach using Sentinel 1 data and its applications
SMAP project is working on a new and enhanced high-resolution (3km and 1km) soil moisture product. This product will combine SMAP radiometer data and Sentinel-1A and -1B data, and it will use the heritage SMAP active-passive approach. However, modifications in the SMAP active-passive algorithm are done to accommodate the Sentinel-1A and -1B C-band SAR data. Tests of the SMAP and Sentinel active-passive algorithm has been conducted and results show great promise for the high-resolution soil moisture data. The beta version of this product will be released to public in end of the March, 2017. This high-resolution (1 km and 3 km) soil moisture product will be useful for agriculture, flooding, watershed and rangeland management, and ecological and hydrological applications. Specific examples of interest will be shown from the proposed product for the above mention geophysical applications.
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