@InProceedings{MoreiraValeSancForm:2015:EfToSo,
               author = "Moreira, Eder Paulo and Valeriano, M{\'a}rcio de Morisson and 
                         Sanches, Ieda Del Arco and Formaggio, Ant{\^o}nio Roberto",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Efeito topogr{\'a}fico sobre dados TM/Landsat e impactos sobre 
                         {\'{\i}}ndices de vegeta{\c{c}}{\~a}o",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4989--4996",
         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 = "When exploring remote sensing data and techniques to study 
                         vegetation, spectral vegetation indices are commonly used mainly 
                         due to its correlation with biophysical parameters such as biomass 
                         and leaf area index. However, their full potentiality can only be 
                         evaluated after removing topographic, atmospheric and soil 
                         background effects from radiometric data. Concerning the former 
                         effect, correction techniques for topography, currently enabled by 
                         the recent availability of broad-coverage Digital Elevation Models 
                         (DEM), were barely investigated in the context of vegetation 
                         indices. Tests on the topographic correction of Landsat 5 TM data, 
                         supported by SRTM (Shuttle Radar Topography Mission) derived data, 
                         were applied to evaluate the influence of topographic effect on 
                         four vegetation indices: Normalized Difference Vegetation Index 
                         (NDVI), Ratio Vegetation Index (RVI), Enhanced Vegetation Index 
                         (EVI) and Soil Adjusted Vegetation Index (SAVI). The evaluations 
                         were based on observation of mean and standard deviation of 
                         vegetation indices and band 4, and regression analyses between 
                         these variables and the cosine of the solar incidence angle on 
                         terrain surface (cos i). The results indicate that vegetation 
                         indices are less sensitive to topographic effect than spectral 
                         bands, but a considerable influence of topographic effect on the 
                         vegetation indices still remains. The NDVI and RVI were less 
                         sensitive to topographic effect than EVI and SAVI. It can be 
                         concluded that the topographic correction is required for a deeper 
                         reduction of the topographic effect on the vegetation indices.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "982",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4DFS",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4DFS",
           targetfile = "p0982.pdf",
                 type = "Floresta e vegeta{\c{c}}{\~a}o",
        urlaccessdate = "28 abr. 2024"
}