@InProceedings{OscoMarcRamoCres:2017:AnCoMé,
author = "Osco, Lucas Prado and Marcato Junior, Jos{\'e} and Ramos, Ana
Paula Marques and Creste, Jos{\'e} Eduardo",
title = "An{\'a}lise comparativa entre m{\'e}todos de
corre{\c{c}}{\~a}o atmosf{\'e}rica de imagem Landsat 8 para a
extra{\c{c}}{\~a}o da Temperatura de Superf{\'{\i}}cie e do
{\'{\I}}ndice de Vegeta{\c{c}}{\~a}o por Diferen{\c{c}}a
Normalizada",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2153--2160",
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 = "This paper aims to determine, for a Landsat 8 scene, values of
NDVI (Normalized Difference Vegetation Index) and LST (Land
Surface Temperature) derived from different products. The NDVI and
LST were calculated using the Top-of-Atmosphere reflectance (ToA)
and the atmospherically corrected surface reflectance by the DOS1
method. As reference, a surface reflectance value provided by the
USGS (United States Geological Survey) was adopted. In order to
generate the products, the Land Surface Temperature and
Semi-Automatic Classification plug-ins installed in the software
QGIS were used. We used the bands 4 and 5 from OLI sensor for the
NDVI and band 10 from sensor TIRS for the LST. Fifty points were
chosen randomly throughout the scene to store the values of the
pixels in order to be compared with each other. When comparing the
ToA and DOS1 results with the surface reflectance values provided
by the USGS, the determination coefficient (r˛) was equal to: a)
0.9647 for the NDVI and 0.9891 for the LST when estimated with the
reflectance at the Top of the Atmosphere (ToA), and; b) 0; 9901
for NDVI and 0.9986 for LST obtained with the product
atmosphericly corrected by DOS1. In reason of the influence from
the different methods applied, we recommend that future works use
the methods described here alongside data containing different
atmospheric conditions.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59473",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLQ45",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQ45",
targetfile = "59473.pdf",
type = "Corre{\c{c}}{\~a}o atmosf{\'e}rica",
urlaccessdate = "11 maio 2024"
}