@Article{OliveiraGalvPonz:2019:CaStSo,
               author = "Oliveira, Lucas Maia de and Galv{\~a}o, L{\^e}nio Soares and 
                         Ponzoni, Fl{\'a}vio Jorge",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Topographic effects on the determination of hyperspectral 
                         vegetation indices: a case study in southeastern Brazil",
              journal = "Geocarto International",
                 year = "2019",
               volume = "2019",
                pages = "1--18",
             keywords = "Hyperspectral, Vegetation Indices, Topographic Effects, 
                         C-correction, Hyperion.",
             abstract = "We investigated the sensitivity of 16 hyperspectral vegetation 
                         indices (VIs) to topographic effects in southeastern Brazil. Using 
                         Hyperion data acquired over ombrophilous forest and the 
                         topographic C-correction, we calculated the relative changes and 
                         statistical differences (Wilcoxon test) between corrected and 
                         noncorrected data, and the magnitude of the effect size of 
                         topographic correction. The analysis considered 12 terrain 
                         illumination classes obtained from cross-comparison between aspect 
                         and slope images. The results showed that the most anisotropic 
                         indices were the Anthocyanin Reflectance Index (ARI), Enhanced 
                         Vegetation Index (EVI) and Photochemical Reflectance Index (PRI). 
                         During the comparison between C-corrected and non-corrected data, 
                         these VIs presented the largest relative changes, the lowest 
                         p-values and the largest metric of effect size. The sensitivity 
                         was stronger with increasing slope over south- and west-facing 
                         shaded surfaces. The least sensitive VIs were the Visible Index 
                         Green (VIG), Visible Atmospherically Resistant Index (VARI) and 
                         Structure Insensitive Pigment Index (SIPI).",
                  doi = "10.1080/10106049.2019.1690055",
                  url = "http://dx.doi.org/10.1080/10106049.2019.1690055",
                 issn = "1010-6049",
                label = "lattes: 1203661505800056 1 OliveiraGalvPonz:2019:CaStSo",
             language = "en",
           targetfile = "oliveira_topographic.pdf",
        urlaccessdate = "27 abr. 2024"
}