@InProceedings{MorettiFerrMattTren:2011:AvMéCl,
author = "Moretti, Ana Isabel Pasztor and Ferreira, Marcos C{\'e}sar and
Mattos, Eliana Corr{\^e}a Aguirre de and Trentin, Gracieli",
affiliation = "{Universidade Estadual de Campinas - UNICAMP} and {Universidade
Estadual de Campinas - UNICAMP} and {Universidade Estadual de
Campinas - UNICAMP} and {Universidade Estadual de Campinas -
UNICAMP}",
title = "Avalia{\c{c}}{\~a}o de m{\'e}todos de classifica{\c{c}}{\~a}o
supervisionada para o mapeamento da cobertura vegetal nativa da
{\'A}rea de Prote{\c{c}}{\~a}o Ambiental Fern{\~a}o Dias a
partir de imagem Landsat",
booktitle = "Anais...",
year = "2011",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "7279--7285",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "remote sensing, image processing, forest surveys, sensoriamento
remoto, processamento de imagens, levantamentos florestais.",
abstract = "The loss of biodiversity is highly influenced by forest
fragmentation, caused by the replacement of native vegetal
coverage for urban, industrial, pasture and agriculture areas. The
identification and classification of forest fragments are
important for its conservation, monitoring and for support actions
of environmental planning. In this context, the aim of this work
is to map the forest fragments of APA Fern{\~a}o Dias from two
supervised classification methods of remote sensing images: the
Maximum Likelihood and the one based on fuzzy logic. The Maximum
Likelihood, a boolean method, considers the balance of averages
distances from statistical parameters and the classification
result is presented in the form of polygons with sharp boundaries
between different land uses. The other one, based on fuzzy logic,
does not have sharply defined boundaries and an element may have
partial and multiple membership, providing a better representation
for geographical phenomena that cannot be described by a single
attribute. Resulting images of both methods showed that APA
Fern{\~a}o Dias has significant forest coverage area. The
classified image resulted of Maximum Likelihood showed that the
semideciduous forest covered the largest area (18,14%) and is
distributed throughout APA and around of the tropical rain forest
fragments, in its lowest altitudes. The classified image resulted
of the method based on fuzzy logic attributed a larger number of
pixels with possibility to belong to the tropical rain forest
(28,57%) and revealed the transition zone of tropical rain forest
to the semideciduous forest, representing the reality of APA
Fern{\~a}o Dias more efficiently.",
conference-location = "Curitiba",
conference-year = "30 abr. - 5 maio 2011",
isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW/3A3NMB2",
url = "http://urlib.net/ibi/3ERPFQRTRW/3A3NMB2",
targetfile = "p1434.pdf",
type = "Processamento de Imagens",
urlaccessdate = "15 jun. 2024"
}