@Article{PeresCamaTrigFrei:2010:SyUsTw,
               author = "Peres, Leonardo F. and Camara, C. C. and Trigo, I. F. and Freitas, 
                         S. C.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Synergistic use of the two-temperature and the split-window 
                         methods for land-surface temperature retrieval",
              journal = "Journal of Physics: Conference Series",
                 year = "2010",
               volume = "31",
               number = "16",
                pages = "4387 - 4409",
                month = "Aug.",
             abstract = "A strategy is presented with the aim of achieving an operational 
                         accuracy of 2.0K in land-surface temperature (LST) from METEOSAT 
                         Second Generation (MSG)/Spinning Enhanced Visible and Infrared 
                         Imager (SEVIRI) data. The proposed method is based on a 
                         synergistic usage of the split-window (SW) and the two-temperature 
                         method (TTM) and consists in combining the use of a priori 
                         land-surface emissivity (LSE) estimates from emissivity maps with 
                         LST estimates obtained from SW method with the endeavour of 
                         defining narrower and more reliable ranges of admissible solutions 
                         before applying TTM. The method was tested for different surface 
                         types, according to SEVIRI spatial resolution, and atmospheric 
                         conditions occurring within the MSG disc. Performance of the 
                         method was best in the case of relatively dry atmospheres 
                         (water-vapour content less than 3 g cm-2), an important feature 
                         since in this case SW algorithms provide the worst results because 
                         of their sensitivity to uncertainties in surface emissivity. The 
                         hybrid method was also applied using real MSG/SEVIRI data and then 
                         validated with the Moderate resolution Imaging Spectroradiometer 
                         (MODIS)/Terra LST/LSE Monthly Global 0.05 degrees geographic 
                         climate modeling grid (CMG) product (MOD11C3) generated by the 
                         day/night algorithm. The LST and LSE retrievals from the 
                         hybrid-method agree well (bias and root mean square error (RMSE) 
                         of -0.2K and 1.4K for LST, and around 0.003-0.02 and 0.009-0.02 
                         for LSE) with the MOD11C3 product. These figures are also in 
                         conformity with the MOD11C3 performance at a semi-desert where LST 
                         (LSE) values is 1-1.7K (0.017) higher (less) than the ground-based 
                         measurements. SN 0143-1161.",
                  doi = "10.1080/01431160903260973",
                  url = "http://dx.doi.org/10.1080/01431160903260973",
                 issn = "1742-6588",
             language = "en",
           targetfile = "peres_synergistic.pdf",
        urlaccessdate = "20 maio 2024"
}