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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #292813
Title: Sharpening landsat 8 thermal imagery for field scale ET mapping

Author
item Gao, Feng
item Cammalleri, Carmelo
item WANG, PEIJUAN - Collaborator
item Kustas, William - Bill

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 7/1/2013
Publication Date: 11/3/2013
Citation: Gao, F.N., Cammalleri, C.N., Wang, P., Kustas, W.P. 2013. Sharpening landsat 8 thermal imagery for field scale ET mapping. ASA-CSSA-SSSA Annual Meeting Abstracts. 2013 CD-ROM.

Interpretive Summary:

Technical Abstract: Thermal infrared (TIR) remote sensing provides valuable information for mapping land surface energy flux and evapotranspiration (ET). Landsat 8 carries a TIR instrument with two thermal bands that can provide a more accurate estimate of land surface temperature (LST) than prior landsat satellites. However, the 100 meters spatial resolution of Landsat 8 TIR bands is not substantially superior to Landsat 5 (120m) and Landsat 7 (60m). For the ET mapping at the field scale, a finer resolution of TIR data like Landsat shortwave sensors (30 m) is required. Recently, we developed a data mining sharpener (DMS) approach to improve spatial resolution in LST retrievals. The DMS approach has been tested to sharpen thermal band imagery for Landsat 5 and Landsat 7. In this presentation, we extend the approach to data collected from the recently launched Landsat 8 data. We will demonstrate the sharpening results from Landsat 8 over different landscapes. The potential for the DMS approach to be used operationally for Landsat 8 will be discussed. The ET estimation from both original and sharpened TIR imagery will be compared and analyzed.