@InProceedings{LimaBarrTaglBarr:2017:CoAtIm,
author = "Lima, Amanda Aparecida de and Barros, Ana Clara de and Tagliarini,
Felipe de Souza Nogueira and Barros, Zacarias Xavier de",
title = "Corre{\c{c}}{\~a}o atmosf{\'e}rica de imagens do Landsat 8 para
an{\'a}lise comparativa de influ{\^e}ncia no c{\'a}lculo de
NDVI e SAVI",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2762--2769",
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 = "The atmospheric correction is a fundamental step for many works
that make use of remote sensing. This research aims to anilyse the
results generated by the calculation of vegetation index
Normalized Difference Vegetation Index (NDVI) and Soil-adjusted
Vegetation Index (SAVI) generated by the atmospheric correction of
the 4 and 5 band of Landsat 8, and also in absence of the
atmospheric correction to determine whether the applicability of
this procedure is applicable to the calculation of SAVI, whose
index already has a coefficient of adjustment of brightness for
correction of the image. The results according with the land use
classes in the calculation of NDVI generate a significant
diference for the Native Forest and Reforestation use classes with
a value of 0.16 for both, looking to the underestimated values for
not performing the atmospheric correction procedure. In contrast,
the SAVI was also obtained with the most significant difference in
the class of Native Forest with the value 0.11, but showing
underestimated values in the presence of atmospheric
correctionwith the visual aid of the map, it was possible to
conclude that the SAVI does not present significant results when
performing the atmospheric correction, and when comparing it with
the NDVI it is perceived that it does not have such a positive
answer regarding its applicability in the vegetation studies.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59743",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLR7R",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLR7R",
targetfile = "59743.pdf",
type = "Corre{\c{c}}{\~a}o atmosf{\'e}rica",
urlaccessdate = "27 abr. 2024"
}