@InProceedings{LemosMontMend:2009:AnInDa,
author = "Lemos, Clara Carvalho de and Montaño, Marcelo and Mendes, Marcelo
Fidelis Marques",
affiliation = "{Escola de Engenharia de S{\~a}o Carlos - Universidade de
S{\~a}o Paulo/SP} and {Escola de Engenharia de S{\~a}o Carlos -
Universidade de S{\~a}o Paulo/SP} and {Escola de Engenharia de
S{\~a}o Carlos - Universidade de S{\~a}o Paulo/SP}",
title = "An{\'a}lise da influ{\^e}ncia dos dados de uso e cobertura do
solo sobre a estimativa quantitativa da perda de solos – estudo de
caso para o munic{\'{\i}}pio de Brotas (SP)",
booktitle = "Anais...",
year = "2009",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "3981--3988",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "CBERS image, universal soil loss equation, remote sensing,
environmental analysis, geographical information systems,
an{\'a}lise ambiental, equa{\c{c}}{\~a}o universal de perda de
solos, sensoriamento remoto, sistemas de informa{\c{c}}{\~a}o
geogr{\'a}fica, CBERS.",
abstract = "This study concerns a comparison of two ways of obtaining data on
land use for subsequent application for assessing soil loss of the
municipality of Brotas (SP), through the Universal Soil Loss
Equation (USLE). This is a highly relevant information to
determining the anthropic factors of the equation, influencing
directly to its results. The classification methods may lead to
changes in the final results of the land use maps, and then the
information generated from these. Two maps were generated for land
use, the first one was obtained through classification of visual
orbital image complemented by field surveys and cadastral
information (location of cultivated areas from information
obtained directly with companies that exploit the territory of the
municipality) while the second was drawn up by supervised
classification of images CBERS-2. The results show a reasonable
similarity between the two procedures (Kappa Index of Agreement of
62.11% overall, considering the classes of cover down), but no
longer express some difficulties inherent in the definition of
hedges associated with tree size vegetation (in the case,
savannah, forest, orange and eucalyptus). In the case of the use
of quantitative methods of analysis, as the implementation of
USLE, it was found that the methods of classification may result
in some variations in outcomes, but they were overcome with some
corrections. From these corrections the two methods of drawing up
the map of land use produced consistent and similar results.",
conference-location = "Natal",
conference-year = "25-30 abr. 2009",
isbn = "978-85-17-00044-7",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "dpi.inpe.br/sbsr@80/2008/11.17.17.38",
url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.17.38",
targetfile = "3981-3988.pdf",
type = "Geoprocessamento e Aplica{\c{c}}{\~o}es",
urlaccessdate = "04 maio 2024"
}