@Article{ArasatoSanMalAmaRen:2012:DeMuPa,
author = "Arasato, Luciana Satiko and Santos, Jo{\~a}o Roberto dos and
Maldonado, Francisco Dar{\'{\i}}o and Amaral, Silvana and
Renn{\'o}, Camilo Daleles",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidad Aut{\'o}noma de Entre R{\'{\i}}os - UADER} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Detec{\c{c}}{\~a}o de mudan{\c{c}}a da paisagem a partir de
an{\'a}lise multissensor e multitemporal em
associa{\c{c}}{\~a}o com vari{\'a}veis geomorfom{\'e}tricas no
dom{\'{\i}}nio da floresta atl{\^a}ntica / Change detection of
landscape by multisensor and multitemporal analysis in association
with geomorphometric variables in the Atlantic Forest domain",
journal = "Revista Brasileira de Cartografia",
year = "2012",
volume = "64",
number = "4",
pages = "475--486",
keywords = "detec{\c{c}}{\~a}o de mudan{\c{c}}a, sensoriamento remoto, uso
e cobertura da terra, Mata Atl{\^a}ntica, change detection,
remote sensing, land-use and land-cover, Atlantic Forest.",
abstract = "Este trabalho teve por objetivo detectar {\'a}reas onde ocorreram
mudan{\c{c}}as no uso e cobertura da terra a partir da
t{\'e}cnica de rota{\c{c}}{\~a}o radiom{\'e}trica controlada
por eixo de n{\~a}o-mudan{\c{c}}a (RCEN) e imagens de
sensoriamento remoto, em uma {\'a}rea da Floresta Atl{\^a}ntica,
no Estado de S{\~a}o Paulo. Imagens do sensor TM/Landsat-5 de
2004 e SPOT-5 XP de 2006 foram utilizadas para a
aplica{\c{c}}{\~a}o da t{\'e}cnica de RCEN, a partir da qual
foi poss{\'{\i}}vel identificar e classificar {\'a}reas de
regenera{\c{c}}{\~a}o e de degrada{\c{c}}{\~a}o no
per{\'{\i}}odo considerado. Como as {\'a}reas de Floresta
Atl{\^a}ntica situam-se em terrenos acidentados, com
varia{\c{c}}{\~o}es altitudinais de 0 m a 1650 m no caso da cena
estudada, as imagens apresentam mais sombreamento, o que reduz o
desempenho classificat{\'o}rio da detec{\c{c}}{\~a}o de
mudan{\c{c}}as. Foram feitas an{\'a}lises das {\'a}reas de
mudan{\c{c}}a em rela{\c{c}}{\~a}o {\`a}s vari{\'a}veis
geomorfom{\'e}tricas para uma sub-regi{\~a}o da cena. As
{\'a}reas com Floresta Densa Altimontana (acima de 1200 m) com
declividade forte (12-50%) foram as regi{\~o}es que apresentaram
as maiores {\'a}reas de mudan{\c{c}}as detectadas. ABSTRACT:
This work aimed to detect land cover changes using the RCEN
technique (radiometric rotation controlled by nonchange axis) over
different sensors and multitemporal images. The study area
comprises a region of Atlantic Forest, located in the State of
S{\~a}o Paulo. Landsat-5 TM image from 2004 and SPOT-5 XP image
from 2006 were used for the change detection procedure. The RCEN
technique enabled to identify and to classify regeneration and
degradation forest areas during the time period considered. The
performance of RCEN technique is reduced when applied to images
with shadowing areas, as observed for the hilly terrains at the
study site, with altitudes values ranging from 0 m to 1650 m,
approximately. Some adjustments are still required to apply this
technique over sites of Atlantic Forest within mountainous
terrains. Because of the high frequency of shaded areas in the
images the performance for change detection was reduced. Analyses
of change areas considering geomorphometric variables were made in
a subset of the studied scene. Regions containing Altimontana
Dense Forest (over 1200 m) and with high slope values (12-50%)
presented largest areas of change detection.",
issn = "0560-4613",
label = "lattes: 7712719010541171 5 ArasatoSanMalAmaRen:2012:DeMuPa",
language = "pt",
targetfile = "arasato_deteccao.pdf",
urlaccessdate = "11 maio 2024"
}