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@InProceedings{GalvãoBrSaTeGaMo:2015:UsImRa,
               author = "Galv{\~a}o, L{\^e}nio Soares and Breunig, F{\'a}bio Marcelo and 
                         Santos, Jo{\~a}o Roberto dos and Teles, Thiago Sousa and Gaida, 
                         William and Moura, Yhasmin Mendes de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and {} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Uso de imagens RapidEye no estudo das varia{\c{c}}{\~o}es 
                         sazonais de {\'{\i}}ndices de vegeta{\c{c}}{\~a}o no Parque 
                         Estadual do Turvo (PET)",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1145--1152",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The Parque Estadual do Turvo (PET), located in south Brazil, 
                         comprises an interesting remote sensing case study. From the 
                         summer to winter, the leaf area index (LAI) decreases and the 
                         solar zenith angle (SZA) increases with an annual amplitude larger 
                         than 30°. In this study, we used a pair of RapidEye images 
                         acquired in February (summer) and August (winter) of 2013 to 
                         analyze the seasonal behavior of three vegetation indices (VIs): 
                         the Red Edge Normalized Difference Vegetation Index (RENDVI), the 
                         Normalized Difference Vegetation Index (NDVI) and the Enhanced 
                         Vegetation Index (EVI). We applied linear spectral mixture models 
                         to the surface reflectance of the RapidEye bands to inspect for 
                         differences in shade fraction images. Differences in 
                         summer-to-winter ratio images were obtained to discuss the 
                         sensitivity of the indices to the coupled effects of LAI and SZA. 
                         We projected the results over a digital elevation model (DEM) to 
                         look for variations in local illumination conditions and resultant 
                         effects on VIs determination. Results showed important changes in 
                         shade fractions toward the winter due to the increase in canopy 
                         shadows and in local topographic effects. The three VIs decreased 
                         from the summer to winter, but those based on band-normalization 
                         (RENDVI and NDVI) were less susceptible to topographic effects.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "212",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM47Q7",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM47Q7",
           targetfile = "p0212.pdf",
                 type = "Floresta e vegeta{\c{c}}{\~a}o",
        urlaccessdate = "29 nov. 2020"
}


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