Abstract
Brazil, like many other developing countries is demanding modern IT tools that would allow to monitor, to analyze and to intervene in the city planning process. Urban areas, especially metropolitan regions like Belo Horizonte (Minas Gerais State Capital, Brazil) are highly complex and its’ diagnosis is quite difficult. With the advent of high-resolution satellite systems, such as QuickBird, object-based image classification techniques became efficient procedures for the analysis and mapping of land use/land cover. This new image classification paradigm uses context relations, hierarchy and fuzzy logic. A multi-temporal analysis, considering also ancillary data, allows spatial inferences generating information to subsidize urban planning. In this study, spatial inferences were made for two quarters of Belo Horizonte using QuickBird ORStandard scenes from 2002 and 2004, working with object-based image classification techniques and considering geological, geotechnical and urban legislation data on a GIS. At both scenes ortho-rectification was done using a rigorous model. Following information were generated considering the growth of two quarters (Belvedere and Buritis) in the timeframe considered: a land use/land cover map, detection of irregular land occupation, of areas with risks for slope slipping/erosion as well as an analysis of potential damage to population and property.
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References
Araújo EHG (2006) Análise multi-temporal de cenas do satélite Quickbird usando um novo paradigma de classificação de imagens e inferências espaciais: estudo de caso Belo Horizonte (MG). 159 pp., Dissertação (Mestrado em Sensoriamento Remoto) – INPE 2006. (INPE-13956-TDI/1062) available at: http://mtc-m13.sid.inpe.br/col/sid.inpe.br/MTC-m13@80/2006/07.24.19.43/doc/paginadeacesso.html
Baatz M, Schäpe A (2000) Multiresolution segmentation – an optimization approach for high quality multi-scale image segmentation. In: STROBL, J. & BLASCHKE, T. (Eds.): Angewandte Geographische Informationsverarbeitung XII. Beiträge zum AGIT-Symposium Salzburg 2000. Karlsruhe. (Herbert Wichmann Verlag), pp 12-23
Belo Horizonte (2000). Lei No 8137/00. Available at: www.pbh.gov.br/mapas/leiuso/lei-8137.htm
Belo Horizonte (1996). Lei No 7165/96. Available at: http://pbh.gov.br/siga/procuradoria/pgmlegis.htm
Benz UC, Hofmann P, Willhauck G, Lingenfelder I, Heynen M (2004) Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry & Remote Sensing, vol. 58, n.3-4, pp 239-258
Blaschke T, Lang S, Lorup E, Strobl J, Zeil P (2000) Object-oriented image processing in an integrated GIS/Remote Sensing environment and perspectives for environmental applications. vol. 2, pp 555-570, Environmental Information for Planning
Bock M, Xofis P, Mitchley J, Rossner G, Wissen M (2005) Object-oriented methods for habitat mapping at multiple scales – case studies from Northern Germany and Wye Downs, UK, Journal for Nature Conservation, vol. 13 (Nr. 2-3), pp 75-89
Brasil.(1984) Decreto No 89.817/84 Regulating Instructions of Technical Standards for National Cartography. Available at: http://www.concar.ibge.gov.br/index7a0.html?q=node/41
Büyüksalih G, Murat O, Jacobsen, K, (2004) Precise georeferencing of rectified high-resolution space images. In:XXth ISPRS Congress. Proceedings Istanbul: International Society for Photogrammetry and Remote Sensing vol. 35, pp 184-188.
Cheng P, Toutin T, Zhang,Y, Wood M (2003) QuickBird - geometric correction, path and block processing and data fusion. EOM, vol. 12, nr. 3 pp 24-30
Definiens (2004) E-Cognition: User Guide 4. Germany pp 486
DigitalGlobe Inc (2004) QuickBird imagery products: product guide. Longmont, Colorado
Ehlers, M (2007) Sensoriamento Remoto para Usuários de SIG –Sistemas e Métodos: entre as Exigências do Usuário e a Realidade. In: Blaschke, T. & Kux, H. (eds) Sensoriamento Remoto e SIG avançados, 2nd edition. Oficina de Textos Ltda, São Paulo, pp 19-38
Herold M, Liu X, Clarke KC (2003): Spatial Metric and Image texture for mapping urban land use. Photogrammetric Engineering & Remote Sensing, 69, pp 999-1001.
Hofmann P, Reinhardt W (2000) The extraction of GIS features from high resolution imagery using advanced methods base don additional contextual information – first experiences. Proceedings, vol. XXXIII, pp. 51-58, Amsterdam International Archives of Photogrammetry and Remote Sensing
Instituto Nacional de Pesquisas Espaciais (INPE) (2005) SPRING: Sistema de Processamento de Informações Georreferenciadas. São José dos Campos, Available at: http://www.dpi.inpe.br/spring/portugues/download.html.
Kux HJH, Araújo EHG (2006) Multi-temporal object-oriented classifications and analysis of QuickBird scenes at a metropolitan area in Brazil (Belo Horizonte, Minas Gerais State), 1st International Conference on Object-based Image Analysis (OBIA, 2006), Conference Proceedings [CD], vol. Nr. XXXVI – 4/C42, Salzburg/Austria
Landis JR, Koch GG (1977) The measurement of observer agreement for categorial data. Biometrics, vol. 33 n.1, pp. 159-174
Silva AB, Carvalho ET, Fantinel LM, Romano AW, Viana CS (1995) Estudos geológicos, hidrogeológicos, geotécnicos e geoambientais integrados no município de Belo Horizonte. Belo Horizonte, MG, Secretaria Municipal de Planejamento
Silva AB, Carvalho ET, Fantinel LM, Romano AW, Viana CS (1995) Mapa Geológico de Belo Horizonte. Belo Horizonte, MG, PMBH, (Escala 1:25.000).
Thomas N, Hendrix C, Congalton RG (2003) A comparison of urban mapping methods using high-resolution digital imagery. Photogrammetric Engineering & Remote Sensing, vol 69 (9), pp 963-972
Toutin T (2004) Review article: Geometric processing of remote sensing images: models, algorithms and methods. International Journal of Remote Sensing, vol 25 n. 10 pp 1893-1924
Yang X (2003) Remote Sensing and GIS for urban analysis: an introduction. Photogrammetric Engineering and Remote Sensing, vol 69, nr 9, pp 937-939
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Kux, H.J.H., Araújo, E.H.G. (2008). Object-based Image Analysis using QuickBird satellite images and GIS data, case study Belo Horizonte (Brazil). In: Blaschke, T., Lang, S., Hay, G.J. (eds) Object-Based Image Analysis. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77058-9_31
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