@Article{OliveiraGalvPonz:2021: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 = "2021",
volume = "36",
number = "19",
pages = "2186--2203",
keywords = "C-correction, Hyperion, Hyperspectral, topographic effects,
vegetation indices.",
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
non-corrected 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",
language = "en",
targetfile = "oliveira_topographic.pdf",
urlaccessdate = "13 maio 2024"
}