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United States Department of Agriculture

Agricultural Research Service

Research Project: USING REMOTE SENSING & MODELING FOR EVALUATING HYDROLOGIC FLUXES, STATES, & CONSTITUENT TRANSPORT PROCESSES WITHIN AGRICULTURAL LANDSCAPES Title: Merging thermal and microwave satellite observations for a high-resolution soil moisture data product

Authors
item Zhan, Xiwu -
item Anderson, Martha
item Liu, Jicheng -

Submitted to: IEEE Transactions on Geoscience and Remote Sensing
Publication Type: Proceedings
Publication Acceptance Date: April 30, 2010
Publication Date: July 27, 2010
Citation: Zhan, X., Anderson, M.C., Liu, J. 2010. Merging thermal and microwave satellite observations for a high-resolution soil moisture data product. In: Proceedings of IEEE Transactions on Geoscience and Remote Sensing, July 25-30, 2010, Honolulu, Hawaii. 2010 CDROM.

Technical Abstract: Many societal applications of soil moisture data products require high spatial resolution and numerical accuracy. Current thermal geostationary satellite sensors (GOES Imager and GOES-R ABI) could produce 2-16km resolution soil moisture proxy data. Passive microwave satellite radiometers (e.g. AMSR-E, WindSat, SMOS, SMAP & NPOESS MIS) soil moisture observations could be more accurate but with coarser spatial resolution. In this paper we explore the feasibility for merging these two types of satellite soil moisture observations to generate a soil moisture data product with higher spatial resolution and better numerical accuracy.

Last Modified: 8/29/2014
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