@InProceedings{SousaNeveCout:2017:PaTeCo,
author = "Sousa, Renato Ferreira and Neves, Glauber das and Couto Junior,
Antonio Felipe",
title = "Padr{\~o}es temporais da cobertura da terra do alto curso da
bacia hidrogr{\'a}fica do Rio Preto (DF/GO)",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "709--716",
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 = "The Moderate Resolution Imaging Spectroradiometer (MODIS) provides
daily information that allow understanding and model the Earth''s
dynamics and processes. The spatial and temporal patterns of the
land cover distinguish the anthropogenic and natural formations,
and subsidize the land planning, especially in the tropical
region. In the tropics, the Cerrado biome represents high
landscape complexity and also high agricultural use. The objective
of this work was to characterize the temporal patterns of natural
and anthropogenic covers in the upper course of the Rio Preto
basin. We used NDVI (Normalized Difference Vegetation Index) time
series from MOD13 product, between the 2000 and 2010. The noise
attenuation procedures followed the steps: (a) applying a filter
medium mobile and (b) separation of the fraction of the signal
processing Minimum noise fraction (FMR) and (c) restitution of
NDVI data using the fraction of signal. In relation to
anthropogenic covers the results indicated: (a) the agriculture
areas had higher absolute variation (0.562) in its agricultural
use; (b) the urban area showed little variation (0.386); (c)
pasture presented the slightest change in his NDVI (0.353). We
concluded that the MODIS time series provided comprehension about
land use patterns and dynamics considering the biophysical
information and should be used in future land use planning.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "60151",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS44P4",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44P4",
targetfile = "60151.pdf",
type = "Paisagens naturais",
urlaccessdate = "27 abr. 2024"
}