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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: Generating high temporal and spatial resolution thermal band imagery using robust sharpening approach

Authors
item Gao, Feng
item Anderson, Martha
item Kustas, William

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: May 31, 2012
Publication Date: August 4, 2012
Citation: Gao, F.N., Anderson, M.C., Kustas, W.P. 2012. Generating high temporal and spatial resolution thermal band imagery using robust sharpening approach [abstract]. The First International Conference on Agro-Geoinformatics. 2012 CDROM.

Technical Abstract: Thermal infrared band imagery provides key information for detecting wild fires, mapping land surface energy fluxes and evapotranspiration, monitoring urban heat fluxes and drought monitoring. Thermal infrared (TIR) imagery at fine resolution is required for field scale applications. However, thermal band imagery is normally acquired at a coarser pixel resolution compared to shortwave spectral bands on the same satellite platform. Several techniques have been developed to sharpen thermal band imagery using spectral band data. A classic sharpening technique, TsHARP, sharpens thermal data using a unique negative relationship between the surface temperature and the Normalized Difference Vegetation Index (NDVI) or the NDVI- derived fractional vegetation cover. However, recent studies find that the LST-NDVI relationship is not unique. Our objective is to establish an operational yet robust sharpening approach that can be applied to various landscapes and conditions at different spatial resolutions.

Last Modified: 12/22/2014
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