@InProceedings{FreitasRosaShim:2010:UsGrPa,
author = "Freitas, Ramon Morais de and Rosa, Reinaldo Roberto and
Shimabukuro, Yosio Edemir",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Using Gradient Pattern Analysis for land use and land cover change
detection",
booktitle = "Proceedings...",
year = "2010",
organization = "Geoscience and Remote Sensing Symposium, (IGARSS).",
publisher = "IEEE",
address = "Piscataway",
keywords = "Amazon region, Amazonia, Brazilian Amazonia, Composite products,
Computational operations, Gradient pattern analysis, Land use and
land cover change, LULC, Modis images, New approaches, Noise
reductions, Phase disorder, Remote sensing images, Spatial
temporals, Study areas, Symmetry-breaking, Wavelets transform.",
abstract = "In this work, the computational operation based on Gradient
Pattern Analysis - GPA was applied for the first time in MODIS
spatial-temporal images over the Amazon region. The study area is
located in the Par{\'a} State, eastern Brazilian Amazonia. Using
MOD09 8-day composite product from 2000 to 2009 was elaborated the
EVI2 spatial-temporal series of the study area. For each pixel we
performed smooth time-series applying wavelets transform method
for noise reduction. The GPA objective was characterizing small
symmetry breaking, amplitude and phase disorder due to
spatial-temporal fluctuations driven by the deforestation and
flooded changes detected by MODIS images. For the characterization
of spatial-temporal series the Gradient Pattern Analysis showed a
new approach to understand LULC changes in the remote sensing
images.",
conference-location = "Honolulu",
conference-year = "25-30 July 2010",
doi = "10.1109/IGARSS.2010.5650698",
url = "http://dx.doi.org/10.1109/IGARSS.2010.5650698",
isbn = "978-1-4244-9564-1 and 978-1-4244-9565-8",
issn = "2153-6996",
language = "en",
organisation = "IEEE",
targetfile = "05650698.pdf",
urlaccessdate = "15 jun. 2024"
}