Análise de ferramentas de suporte tecnológico para simulação da dinâmica da cobertura e uso do solo
Resumo
Este trabalho analisa três ferramentas de suporte computacional para a simulação da dinâmica da cobertura e uso do solo, dentro de um projeto para análise de evolução da paisagem na região da Campanha do Estado do Rio Grande do Sul. O processo de aquisição e classificação de dados prévio é apresentado e as vantagens e lacunas nas ferramentas livres e gratuitas analisadas são evidenciadas. Pretende-se com a análise realizada contribuir com os pesquisadores dessa área e apontar necessidades existentes para o devido suporte tecnológico.
Referências
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Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf, D. (2007). The shuttle radar topography mission. Reviews of Geophysics, 45(2):n/a–n/a.
Foley, J., DeFries, R., Asner, G., Barford, C., Bonan, G., Carpenter, S., Chapin, F., Coe, M., Daily, G., Gibbs, H., Helkowski, J., Holloway, T., Howard, E., Kucharik, C., Monfreda, C., Patz, J., Prentice, I., Ramankutty, N., and Snyder, P. (2005). Global consequences of land use. Science, (309):570–572.
Gomarasca, M. A. (2009). Basics of Geomatics. Springer, New York.
Ierusalimschy, R., de Figueiredo, L. H., and Filho, W. C. (1996). Lua - an extensible extension language. Software: Practice and Experience, 26(6):635–652.
Law, A. M. (2007). Simulation Modeling & Analysis. McGraw-Hill, 4 edition.
MOLUSCE (2018). Modules for land use change evaluation.
NASA (2018). Landsat 7 science data user’s handbook.
Neteler, M. and Mitasova, H. (2008). Open Source GIS: a GRASS GIS approach. Springer, New York.
OSGEO (2018). Osgeo.org your source compass.
QGIS (2018). Qgis geographic information system.
R Core Team (2018). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
Richards, J. A. and Jia, X. (2006). Remote Sensing Digital Image Analysis. Springer-Verlag Berlin Heidelberg, Berlin, Germany, 4 edition.
SEMA (2018). Bacia hidrográfica do rio negro.
Sentinel (2018). Sentinel online - esa.
SIMLANDER (2018). A cellular automata land use model for the r software environment.
TerraME (2018). Terrame: Multiparadigm modeling toolkit.
Boulic, R. and Renault, O. (1991). 3d hierarchies for animation. In Magnenat-Thalmann, N. and Thalmann, D., editors, New Trends in Animation and Visualization. John Wiley & Sons ltd.
Burrough, P. A. (1986). Principles of Geographical Information Systems for Land Resources Assessment. Monographs on Soil and Resources Survey. Clarendon Press.
Camacho, C. and Pérez-Barahona, A. (2015). Land use dynamics and the environment. Journal of Economic Dynamics and Control, 52:96–118.
Christofoletti, A. (1999). Modelagem de Sistemas Ambientais. Edgar Blücher.
Congedo, L. (2018). Semi-automatic classification plugin documentation.
COPERNICUS (2018). Copernicus.
Câmara, G., Modesto, R. C., Souza, R., Pedrosa, B. M., Vinhas, L., Vieira, A. M., , de Carvalho Paiva, A., Tilio, M., , and Gattass, M. (2001). Terralib: Technology in support of gis innovation. page 8.
de Senna Carneiro, T. G. (2006). Nested-CA: A foundation for multiscale modelling of land use and land cover change. PhD thesis, National Institute for Space Research (INPE), São Josà c© dos Campos, Brasil.
EEA (2018). European enviroment agency.
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf, D. (2007). The shuttle radar topography mission. Reviews of Geophysics, 45(2):n/a–n/a.
Foley, J., DeFries, R., Asner, G., Barford, C., Bonan, G., Carpenter, S., Chapin, F., Coe, M., Daily, G., Gibbs, H., Helkowski, J., Holloway, T., Howard, E., Kucharik, C., Monfreda, C., Patz, J., Prentice, I., Ramankutty, N., and Snyder, P. (2005). Global consequences of land use. Science, (309):570–572.
Gomarasca, M. A. (2009). Basics of Geomatics. Springer, New York.
Ierusalimschy, R., de Figueiredo, L. H., and Filho, W. C. (1996). Lua - an extensible extension language. Software: Practice and Experience, 26(6):635–652.
Law, A. M. (2007). Simulation Modeling & Analysis. McGraw-Hill, 4 edition.
MOLUSCE (2018). Modules for land use change evaluation.
NASA (2018). Landsat 7 science data user’s handbook.
Neteler, M. and Mitasova, H. (2008). Open Source GIS: a GRASS GIS approach. Springer, New York.
OSGEO (2018). Osgeo.org your source compass.
QGIS (2018). Qgis geographic information system.
R Core Team (2018). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
Richards, J. A. and Jia, X. (2006). Remote Sensing Digital Image Analysis. Springer-Verlag Berlin Heidelberg, Berlin, Germany, 4 edition.
SEMA (2018). Bacia hidrográfica do rio negro.
Sentinel (2018). Sentinel online - esa.
SIMLANDER (2018). A cellular automata land use model for the r software environment.
TerraME (2018). Terrame: Multiparadigm modeling toolkit.
Publicado
26/06/2018
Como Citar
FERREIRA, Jean Samarone Almeida; FERREIRA, Ana Paula Lu¨ dtke.
Análise de ferramentas de suporte tecnológico para simulação da dinâmica da cobertura e uso do solo. In: WORKSHOP DE COMPUTAÇÃO APLICADA À GESTÃO DO MEIO AMBIENTE E RECURSOS NATURAIS (WCAMA), 9. , 2018, Natal.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
ISSN 2595-6124.
DOI: https://doi.org/10.5753/wcama.2018.2932.
