@InProceedings{VeronaShimSant:2005:PoImMu,
author = "Verona, Jane Delane and Shimabukuro, Yosio Edemir and Santos,
Jo{\~a}o Roberto dos",
affiliation = "{ABE - Associa{\c{c}}{\~a}o Brasileira de Ec{\'o}logos} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Potencialidade das imagens-fra{\c{c}}{\~a}o multitemporais
TM/Landsat na caracteriza{\c{c}}{\~a}o de varia{\c{c}}{\~o}es
fenol{\'o}gicas em {\'a}rea de floresta tropical na
Amaz{\^o}nia",
booktitle = "Anais...",
year = "2005",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria
Garcia",
pages = "713--720",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
publisher = "INPE",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "remote sensing, image processing, linear mixture model, phenology,
climatic change, precipitation, sensoriamento remoto,
processamento de imagens, modelo linear de mistura espectral,
fenologia, mudan{\c{c}}as clim{\'a}ticas,
precipita{\c{c}}{\~a}o.",
abstract = "The present work was made at Tapaj{\'o}s National Forest (
Par{\'a}-Brazil), with the aim of validating the hypotheses that
the ombrophile dense forest (from low lands and submontains) can
show phenology variations perceptible from orbital data
(multitemporal and multiseasonal TM/Landsat-5 images). In this
context, the aim was to relate values derived of the
fraction-components vegetation, soil and shadow (resultant from
the Linear Spectral Mixture Model) and from NDVI, with
precipitation values. Stages of geometric and radiometric
rectification were initially realized. Seven thematic classes were
defined with field work support and several correlations were
established. A higher correlation coefficient (R = 0.94) was found
for the average of the forest cover classes derived from the
fraction-image vegetation versus precipitation, showing that the
local vegetation responds to the climatic variation, possibly
expressed through phenology. The NDVI practically did not show any
correlation with the precipitation values, possibly due to a quick
saturation in forest environment.",
conference-location = "Goi{\^a}nia",
conference-year = "16-21 abr. 2005",
isbn = "85-17-00018-8",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais",
ibi = "ltid.inpe.br/sbsr/2004/11.11.22.57",
url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.11.22.57",
targetfile = "713.pdf",
type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
urlaccessdate = "03 maio 2024"
}