@InProceedings{SilvaPach:2017:AnEsFr,
author = "Silva, Maria Paula da and Pacheco, Tehrrie Caroline K{\"o}nig
Ferraz",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "An{\'a}lise espa{\c{c}}o-temporal dos fragmentos de
remanescentes florestais com base em m{\'e}tricas de paisagem nos
anos de 1990 e 2011 no munic{\'{\i}}pio de Mogi Mirim-SP",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6095--6101",
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 development of human society is associated with the expansion
of land use over natural areas. Vegetation can be obliterated by
urban expansion and agriculture. Therefore, the aim of this study
is to identify, using temporal analysis and landscape metric, the
natural vegetation remaining in Mogi-Mirim/SP. Images from
Landsat5-TM system sensor were acquired and an RGB composite
color, using Envi 5.3 software, were performed. Further processes
included segmentation and classification, to separate the
different objects, using e-cognition software. The classification
process is based on the Object-Based Image Analysis (OBIA)
paradigm. Landscape metric were calculated, by the extension
Vector-based Landscape Analysis Tools (V-Late) 2.0 beta in Arcgis
10.3 software. The metrics analyzed were area, form, proximity and
nearest neighbor. The results show that natural vegetation in
2011have been obliterate due urban, agriculture expansion when
compare with 1990. Besides the major number of fragments in 2011,
because the confusion between natural vegetation and Pinus, in
this year the landscape were more fragmented. As a consequence of
fragmentation, there´s changes in biological diversity and animal
fluxes. These remote sensing techniques are efficient to identify
remaining forest fragments and evaluate the state of landscape
with landscape metrics, and can be effective to landscape
monitoring. Future works recommendations include try different
segmentation algorithms.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59759",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMCAD",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMCAD",
targetfile = "59759.pdf",
type = "Desflorestamento",
urlaccessdate = "27 abr. 2024"
}