@InProceedings{PicharilloOgas:2013:AnMuEx,
author = "Picharillo, Caroline and Ogashawara, Igor",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "An{\'a}lise multitemporal da expans{\~a}o tur{\'{\i}}stica e o
seus reflexos nas mudan{\c{c}}as da cobertura do solo do
munic{\'{\i}}pio de Bonito-MS por meio de imagens de
sat{\'e}lite",
booktitle = "Anais...",
year = "2013",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "7148--7155",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "NDVI, hybrid classification, spatial organization, NDVI,
classifica{\c{c}}{\~a}o h{\'{\i}}brida,
organiza{\c{c}}{\~a}o espacial.",
abstract = "The touristic expansion in the city of Bonito, in the State of
Mato Grosso do Sul - Brazil has been changing the economy in the
region due to the recent precautions to the environment which
raises the necessity for ecotourism activities. Firstly it was
tried to use a classification based on the digital numbers from
NDVI to discriminate the land cover. The accuracy of this
classification was calculated by the kappa statistic with a hybrid
classification as reference. Also through the hybrid
classification it was attempted to relate the land cover to the
touristic expansion measured by the ICMS (tax on consumption of
goods and services) of the selling activity. For this we used 3
TM/Landsat 5 images dated from 25 July, 1987; 23 July, 1998 and 23
July, 2004. The classification based on NDVI values was not
accurate since the k values were from each date as respectively
0.1950, 0.2056, and 0.2442. The correlation between land cover
classes and ICMS values have the best direct correlation (r =
0.9993) between urban area and commerce economical activity. It
showed that the touristic expansion have changed the land cover
pattern in the city of Bonito MS mainly in the urban area. The
article presented a methodology based on remote sensing and GIS
technology to understand the dynamic of the spatial organization
which can be a powerful tool for policy makers.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "13-18 abr. 2013",
isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
label = "192",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW34M/3E7GBK2",
url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GBK2",
targetfile = "p0192.pdf",
type = "Mudan{\c{c}}a de Uso e Cobertura da Terra",
urlaccessdate = "28 abr. 2024"
}