@InProceedings{WagnerBredVerbArag:2015:CoSuGe,
author = "Wagner, Fabien Hubert and Brede, Benjamin and Verbesselt, Jan and
Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
affiliation = "{} and {} and {} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Correction of sun-sensor geometry effects from MODIS MCD43A1
product for tropical forest applications",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1097--1104",
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 = "Tropical forests have an important role in the terrestrial carbon
(C) cycle. In the current context of atmospheric CO2 increase,
understanding how the forest react and feedback to this CO2
increase is an urgent need. The production of leaves is an
important part of the carbon cycle of tropical forest and is
poorly known due to the difficulty of direct measurements.
Vegetation indices from remote sensing represent an interesting
tools to study this process. However, recent studies have
highlight that the variations of EVI is largely due to sun-sensor
geometry in tropical latitudes. This article describes how to
corrected reflectance for the sun-sensor geometry artefacts, a
current prequisite to the computation of vegetation indices. We
describe the step-by-step procedure to correct reflectances and to
obtain corrected vegetation indices with the MODIS MCD43A1 and
MCD43A2 product suite. Subsequently with give a pratical example
of application in a tropical forest of French Guiana. Our results
show that despite constant cloudy conditions, EVI corrected
estimation is feasible considering a sufficient area of forest.
Corrected EVI show a seasonal pattern unrelated with sun-sensor
geometry. Based on field data of litterfall, we show that
corrected EVI reflects the pattern of leaf production.
Subsequently, we encourage to use EVI corrected for sun-sensor
geometry to follow leaf phenology in tropical forests.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "204",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM47NR",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM47NR",
targetfile = "p0204.pdf",
type = "An{\'a}lise de s{\'e}ries de tempo de imagens de sat{\'e}lite",
urlaccessdate = "27 abr. 2024"
}