@InProceedings{MaedaHeisArag:2015:AsSeMO,
author = "Maeda, Eduardo Eiji and Heiskanen, Janne and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Assessing the sensitivity of MODIS EVI to rainfall and radiation
extremes in the Amazon rainforest",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1844--1851",
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 = "Clarifying the response of vegetation to environmental changes is
essential for better understating the susceptibility of the Amazon
forest to extreme events. Vegetation indices derived from
satellite imagery have often been used to assess changes in forest
canopy caused by climate variability. However, recent studies
indicate that some vegetation indices are strongly affected by
satellite data artefacts and may not provide a reliable indicator
of changes in canopy characteristics. In this context, it is
currently unclear if vegetation indices are sensitive to subtle
changes in the Amazon forest canopy. This study analyses 12 years
of MODIS enhanced vegetation index (EVI) in order to evaluate its
response to changes in rainfall and solar radiation. We show that,
after removing cloud and aerosol contamination, and correcting
BRDF effects, radiation and rainfall extremes show no influence on
EVI anomalies. However, EVI seasonal patterns are still evident
after accounting for sun-sensor geometry effects.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "366",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM49CH",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM49CH",
targetfile = "p0366.pdf",
type = "An{\'a}lise de s{\'e}ries de tempo de imagens de sat{\'e}lite",
urlaccessdate = "04 maio 2024"
}