@InProceedings{MartinsCarvBarbNovo:2017:CoAt,
               author = "Martins, Vitor Souza and Carvalho, Lino Augusto Sander de and 
                         Barbosa, Cl{\'a}udio Clemente Faria and Novo, Evlyn M{\'a}rcia 
                         Le{\~a}o de Moraes",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Avalia{\c{c}}{\~a}o da acur{\'a}cia em produtos OLI/Landsat 8 
                         em lagos amaz{\^o}nicos: Corre{\c{c}}{\~a}o Atmosf{\'e}rica",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "926--933",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Atmospheric correction is a crucial procedure to derive physical 
                         parameters from satellite images. Since water reflectance is 
                         typically low, inland water studies require an efficient removal 
                         of the atmospheric signal for consistent estimates of 
                         water-leaving reflectance. In this paper, we contribute to the 
                         quality assessment of atmospheric correction approaches applied to 
                         Landsat 8 OLI (Operational Land Imager) scene. Three approaches 
                         were assessed over Amazon floodplain aquatic systems: 6SV model 
                         using MODIS (Moderate Resolution Imaging Spectrometer) atmospheric 
                         products, Acolite model and Landsat surface product of LASRC 
                         (Landsat Surface Reflectance Code). In general, the results show 
                         that satellite surface reflectance agrees well with field 
                         measurements for all approaches, with the correlation coefficients 
                         (R) ranging from 0.491 at blue bands to 0.907 at red bands. For 
                         comparison, the corrected data using MODIS products as input in 
                         6SV model has a better agreement than Acolite model, and quite 
                         similar to that of LASRC code. Therefore, new MODIS product shows 
                         reliability as input data to support radiative transfer models. 
                         The results also show a fair agreement between Acolite and LASRC 
                         with in situ data. In particular, Acolite model present the 
                         benefits of pixel-by-pixel correction and image-based approach to 
                         overcome limitations imposed over regions without atmospheric 
                         information. For LASRC approach, high quality of surface 
                         reflectance dataset contributes to Landsat time series analysis 
                         and routinely monitoring of water dynamics. Therefore, all 
                         approaches presented satisfactory correlations with in situ data. 
                         Finally, required accuracy level for surface data relies on the 
                         specificities of each application, for example, detection of 
                         sediment plumes requires less attention with inaccuracies from 
                         atmospheric correction than the quantification of chlorophyll-a 
                         concentrations.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59636",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4FRF",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4FRF",
           targetfile = "59636.pdf",
                 type = "{\'A}reas {\'u}midas e {\'a}guas interiores",
        urlaccessdate = "27 abr. 2024"
}