Reference TypeConference Proceedings
ISBN978-85-17-00056-0 (Internet)
978-85-17-00057-7 (DVD)
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Citation KeySerratoSousPinzPard:2011:CoDeMo
Author1 Serrato, Jeniffer Trejos
2 Sousa Júnior, Manoel de Araújo
3 Pinzón, Federico Pinzón
4 Pardi Lacruz, María Silvia
Affiliation1 Grupo de Investigación en Geomática Aplicada - GIGA Universidad del Valle - Cali, Valle del Cauca, Colombia
2 Universidade Federal de Santa Maria - UFSM
3 Universidad del Valle - Cali, Valle del Cauca, Colombia
4 CRECTEALC – Campus Brasil
Author e-Mail Address1
TitleComparación del modelo markoviano y de regresión para predicción de cambios en el uso y cobertura del suelo en la zona central del Departamento del Meta-Colombia
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 15 (SBSR).
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
Book TitleAnais
Date30 abr. - 5 maio 2011
Publisher CitySão José dos Campos
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Conference LocationCuritiba
Keywordsprediction of change, Markov chain, regression model, land use/land cover, linear spectral mixture model, predicción de cambios, cadenas de Markov, modelo de regresión, uso y cobertura de suelo, modelo lineal de mezcla espectral.
AbstractTo propose new methodologies for the sustainable management of the natural resources, some techniques for the prediction of changes in the land use have been implemented. Those techniques allow to estimate tendencies in the landscape dynamics in the time. To contribute with this purpose, this work compare two empirical models regression model and Markov chain model - focused in predicting land use change, verifying advantages and disadvantages of each one. Land use classes such as oil palm, urban area, agriculture, water, sand areas, bare soil and forest, were mapped from classification of three images: a 1988 TM/Landsat, an ETM+/Landsat 7 from 2000 and a 2005 CCD/CBERS 2 of the year 2005. Linear spectral mixture model was applied to the different bands. The area of land use classes were computed in each one of the images and dates and the regression model with better adjustment were estimated. With these models, projections for the years 2010, 2012 and 2015 were made. The second prediction were calculated through the Markov chain transition matrix for the periods 1988-2000 and 2000-2005, and projections were calculated for 2010, 2012 and 2015. Finally, the results of the Markov chain transition matrix were compared with those obtained by regression models. The better predictive performance was obtained with the Markov chains for each of the land use classes. However, the regression models had good performance for the classes of oil palm and urban areas. It could also be verified the applicability of these techniques for agricultural areas under great exploitation.
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
Secondary TypePRE CN
FormatDVD, Internet.
Size476 KiB
Number of Files1
Target Filep0614.pdf
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History2011-08-15 15:17:53 :: -> administrator :: 2011
2018-06-06 02:24:11 :: administrator -> :: 2011
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Access Date2020, Aug. 15