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Title:   Author  item
                                            Gao, Fengitem
                                            Cammalleri, Carmeloitem
                                            WANG, PEIJUAN - Collaboratoritem
                                            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.


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