@Article{PeresLiboDaCa:2014:LaEmRe,
               author = "Peres, L. F. and Libonati, Renata and DaCamara, C. C.",
          affiliation = "Departamento de Meteorologia-Campus Ilha Do Fundao-Cidade 
                         Universit{\'a}ria, Universidade Federal Do Rio de Janeiro, 
                         21949-900 Rio de Janeiro/RJ, Brazil and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and Centro de Geofisica da 
                         Universidade de Lisboa, Instituto Dom Luiz, University of Lisbon, 
                         1749-016 Lisbon, Portugal",
                title = "Land-surface emissivity retrieval in MSG-SEVIRI TIR channels using 
                         MODIS Data",
              journal = "IEEE Transactions on Geoscience and Remote Sensing",
                 year = "2014",
               volume = "52",
               number = "9",
                pages = "5587--5600",
                month = "Sep.",
             keywords = "emissivity, land-surface temperature (LST), linear regression, 
                         MSG/SEVIRI, TERRA/MODerate resolution Imaging Spectroradiometer 
                         (MODIS).",
             abstract = "A procedure is presented that allows using information from the 
                         MODerate resolution Imaging Spectroradiometer (MODIS) sensor to 
                         improve the quality of emissivity maps for the Meteosat Second 
                         Generation/Spinning Enhanced Visible and Infrared Imager (SEVIRI) 
                         currently in use as input to a generalized split window (SW) 
                         algorithm for land-surface temperature (LST) retrievals in the 
                         operational chain of the Satellite Application Facility on Land 
                         Surface Analysis (LSA SAF). Information from MODIS is incorporated 
                         by means of linear regression models expressing emissivity in 
                         SEVIRI thermal-infrared channels as a linear combination of 
                         emissivities in MODIS bands. The linear models are applied to the 
                         MODIS emissivity product MOD11C3, and a comparison is performed 
                         with the operational LSA-SAF product. Special attention is devoted 
                         to the semiarid and arid regions of North Africa where emissivity 
                         is highly variable. When compared with the new emissivity maps, 
                         the LSA-SAF product displays more uniform emissivity values over 
                         these regions, leading to higher retrievals for all channels (bias 
                         around 0.03) except for IR3.9 (bias from -0.05 to -0.08). The 
                         root-mean-square error (RMSE) varies from 0.06 to 0.09 (0.02 to 
                         0.03) for IR3.9 (IR10.8 and IR12.0) and is about 0.06 for IR8.7. 
                         The impact on LST is assessed by comparing the retrievals from a 
                         SW algorithm using as input the following: 1) the SEVIRI 
                         emissivity LSA-SAF product and 2) SEVIRI emissivity maps from 
                         MOD11C3. The uncertainty in the LSA-SAF emissivity product results 
                         into LST values with bias ranging from -0.4 to -1.0 K and RMSE 
                         around 1.6 K. The new emissivity maps based on MODIS data may be 
                         an alternative to the standard LSA-SAF emissivity product over 
                         semiarid and arid areas, which cover 26% of the land surfaces 
                         within the SEVIRI full disk. © 1980-2012 IEEE.",
                  doi = "10.1109/TGRS.2013.2290778",
                  url = "http://dx.doi.org/10.1109/TGRS.2013.2290778",
                 issn = "0196-2892",
                label = "scopus 2014-05 PeresLiboDaca:2014:LaEmRe",
             language = "en",
        urlaccessdate = "27 abr. 2024"
}