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A Conceptual Approach to Assimilating Remote Sensing Data to Improve Soil Moisture Profile Estimates in a Surface Flux/Hydrology ModelThis is a follow up on the preceding presentation by Crosson. The grid size for remote microwave measurements is much coarser than the hydrological model computational grids. To validate the hydrological models with measurements we propose mechanisms to aggregate the hydrological model outputs for soil moisture to allow comparison with measurements. Weighted neighborhood averaging methods are proposed to facilitate the comparison. We will also discuss such complications as misalignment, rotation and other distortions introduced by a generalized sensor image.
Document ID
20000032327
Acquisition Source
Marshall Space Flight Center
Document Type
Conference Paper
Authors
Schamschula, Marius
(Alabama A & M Univ. Normal, AL United States)
Crosson, William L.
(NASA Marshall Space Flight Center Huntsville, AL United States)
Inguva, Ramarao
(Science and Technology Consultants Huntsville, AL United States)
Yates, Thomas
(Oakwood Coll. Huntsville, AL United States)
Laymen, Charles A.
(NASA Marshall Space Flight Center Huntsville, AL United States)
Caulfield, John
(Fisk Univ. Nashville, TN United States)
Date Acquired
August 19, 2013
Publication Date
February 22, 1998
Publication Information
Publication: NASA University Research Centers Technical Advances in Aeronautics, Space Sciences and Technology, Earth Systems Sciences, Global Hydrology, and Education
Volume: 2 and 3
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
98URC060
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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