@InProceedings{CândidoGouvKamp:2017:AnSéTe,
author = "C{\^a}ndido, Pietro de Almeida and Gouveia, Nelson de Almeida and
Kampel, Milton",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "An{\'a}lise de s{\'e}rie temporal da fra{\c{c}}{\~a}o da
radia{\c{c}}{\~a}o fotossinteticamente ativa absorvida (fPAR) em
diferentes fitofisionomias da bacia Amaz{\^o}nica",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4612--4619",
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 = "Many factors influence the study of canopy reflectance which is
one of the fundamental concepts of remote sensing. The MODerate
resolution Imaging Spectroradiometer (MODIS) is the primary
instrument in the NASA Earth Observing System for monitoring the
seasonality of global terrestrial vegetation. The MODIS Land
Science Team for the global terrestrial surface using a production
efficiency approach operationally produces estimates of 8-day mean
daily Fractional Photosynthetically Active Radiation (fPAR) at 1
km spatial resolution. fPAR is the capacity of a canopy absorbing
energy. It is also a state variable in hydrological, ecological,
biogeochemical and crop-yield models. The fPAR index is indicative
of the status and evolution of plant cover. The present work has
the aim of studying seasonal and interannual variability of
phytophysiognomies of the Amazon rainforest using MOD15A2 fPAR
time series. A positive interference condition is observed when
correlating precipitation with fPAR, but also, with a negative
interference with the continuity of rain making the correlation
values between these variables low and non-significant. However,
the cause-effect relationship between precipitation and fPAR is
notorious. The time series analyzed also allowed the
identification of drought phenomenon. The MOD15A2 time-series
analyzes results are useful for the environmental monitoring of
the natural resources in the three analyzed regions.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59880",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM3DU",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3DU",
targetfile = "59880.pdf",
type = "Paisagens naturais",
urlaccessdate = "27 abr. 2024"
}