@InProceedings{CostaFonsKort:2014:MaGrFo,
author = "Costa, Wanderson Santos and Fonseca, Leila Maria Garcia and
Korting, Thales Sehn",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Mapping Grasslands Formations and Cultivated Pastures in the
Brazilian Cerrado Using Data Mining",
booktitle = "Proceedings...",
year = "2014",
pages = "138--151",
organization = "GEOProcessing 2014: International Conference on Advanced
Geographic Information Systems, Applications, and Services, 6.",
publisher = "IARIA XPS Press",
keywords = "image processing, data mining, cerrado.",
abstract = "Cerrado is the second largest biome in Brazil. Among the land
changes in the Cerrado, over 500,000 kmē of the biome have been
transformed into cultivated pastures in recent years.
Distinguishing the native formations and identifying types of land
use and cover in the Cerrado are important tasks for monitoring
and protection policy of the biome. Within this context, this work
aims at developing a methodology based on remote sensing
techniques, to map pasture and native grassland areas in the
Brazilian Cerrado. Data related to land use and cover, relief,
spectral information from Landsat images and vegetation indices
were used to perform the image classification. Decision trees and
Support Vector Machines algorithms were used, and the results
showed that the analysis and integration of different data sources
can aid in the classification process. In order to discriminate
areas of cultivated pastures and grassland formations, we obtained
accuracies up to 82% in the study area, being able to identify
attributes and data required to recognize these areas in the
Brazilian Cerrado by remote sensing images.",
conference-location = "Barcelona",
conference-year = "2014",
isbn = "978-1-61208-3",
label = "lattes: 3700081997386296 1 CostaFonsKort:2014:MaGrFo",
language = "en",
targetfile = "geoprocessing_2014_6_20_30117.pdf",
url = "http://www.thinkmind.org/index.php?view=article\&articleid=geoprocessing_2014_6_20_30117",
volume = "1",
urlaccessdate = "29 mar. 2024"
}