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Tipo da ReferênciaConference Proceedings
Identificador3ERPFQRTRW/3A3TJ2H
Repositóriodpi.inpe.br/marte/2011/07.12.14.49
Metadadosdpi.inpe.br/marte/2011/07.12.14.49.49
Sitemarte.sid.inpe.br
ISBN978-85-17-00056-0 (Internet)
978-85-17-00057-7 (DVD)
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Chave de CitaçãoSerratoSousPinzPard:2011:CoDeMo
Autor1 Serrato, Jeniffer Trejos
2 Sousa Júnior, Manoel de Araújo
3 Pinzón, Federico Pinzón
4 Pardi Lacruz, María Silvia
Afiliação1 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
Endereço de e-Mail do Autor1 jeniffertrejos@gmail.com
2 manoel.der.ufsm@gmail.com
3 fedepinzon@gmail.com
4 lacruz@dsr.inpe.br
TítuloComparación 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
Nome do EventoSimpósio Brasileiro de Sensoriamento Remoto, 15 (SBSR).
Ano2011
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
Título do LivroAnais
Data30 abr. - 5 maio 2011
Cidade da EditoraSão José dos Campos
Editora (Publisher)Instituto Nacional de Pesquisas Espaciais (INPE)
Localização do EventoCuritiba
Palavras-Chaveprediction 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.
ResumoTo 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.
Páginas6532-6539
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Idiomaes
Tipo SecundárioPRE CN
FormatoDVD, Internet.
AreaSRE
Tamanho476 KiB
Número de Arquivos1
Arquivo Alvop0614.pdf
Última Atualização2011:07.12.14.49.48 dpi.inpe.br/banon/2003/12.10.19.30 tereza@sid.inpe.br
Última Atualização dos Metadados2020:04.13.14.08.51 dpi.inpe.br/banon/2003/12.10.19.30 tereza@sid.inpe.br {D 2011}
Estágio do Documentoconcluido
É a matriz ou uma cópia?é a matriz
Espelhourlib.net/www/2011/03.29.20.55
Endereço de e-Mailwanderf@dsr.inpe.br
e-Mail (login)wanderf@dsr.inpe.br
Grupo de Usuárioswanderf@dsr.inpe.br
Visibilidadeshown
Transferível1
Acervo Hospedeirodpi.inpe.br/banon/2003/12.10.19.30
Estágio do Documentonot transferred
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
Histórico2011-08-15 15:17:53 :: wanderf@dsr.inpe.br -> administrator :: 2011
2018-06-06 02:24:11 :: administrator -> tereza@sid.inpe.br :: 2011
2020-04-13 14:08:51 :: tereza@sid.inpe.br -> wanderf@dsr.inpe.br :: 2011
Campos Vaziosaccessionnumber archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition group issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
Data de Acesso07 jun. 2020
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