Markov processes in modeling land use and land cover changes in Sintra-Cascais, Portugal;Procesos de markov en la modelización de alteraciones del uso e ocupación del suelo en Sintra-Cascais, Portugal

DYNA (Colombia)

Volumn 76, Issue 158, 2009, Pages 191-198

  Cabral, Pedro ^a   Zamyatin, Alexander ^b  

^a NOVA INFORMATION MANAGEMENT SCHOOL NOVA IMS   (Portugal)

^b NATIONAL RESEARCH TOMSK POLYTECHNIC UNIVERSITY   (Russian Federation)

Author keywords

Environmental monitoring; LUCC; Markov chains; Remote sensing

Indexed keywords

EID: 75349086622     PISSN: 00127353     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. WENG, Q. Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. Journal of Environmental Management. Vol. 64. 2002. pp. 273-284.
2. GLUCH, R, Urban growth detection using texture analysis on merged Landsat TM and SPOT-P data. Photogrammetric Engineering & Remote Sensing. Vol. 68. 2002. pp. 1283-1288.
3. KWARTENG, A.; P. CHAVEZ. Change detection study of Kuwait city and environs using multi-temporal Landsat Thematic Mapper data. International Journal of Remote Sensing, Vol. 19. 1998. pp. 1651-1662.
4. MASEK, J.; F. LINDSAY; S. GOWARD. Dynamics of urban growth in the Washington DC metropolitan area, 1973-1996, from Landsat observations. International Journal of Remote Sensing. Vol. 21. 2000. pp. 3473-3486.
5. ZHANG Q.; WANG J.; PENG X.; GONG P.; SHI P. Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data. International Journal of Remote Sensing. Vol. 23. 2002. pp. 3057-3078.
6. STEFANOV, W.; RAMSEY M.; CHRISTENSEN P. Monitoring urban land cover change: An expert system approach to land cover classification of semiarid to arid urban centers. Remote Sensing of Environment. Vol. 77. 2001. pp. 173-185.
7. MUCHER, C.; STEINNOCHER K.; KRESSLER F. Land cover characterization and change detection for environmental planning of Pan-Europe. International Journal of Remote Sensing, 2000. Vol. 21. pp. 1159-1181.
8. CABRAL, P.; GILG J.-P.; PAINHO M. Monitoring urban growth using remote sensing, GIS and spatial metrics. Proceedings of PIE Optics & Photonics: Remote sensing and modeling of ecosystems for sustainability. 2005. San Diego, USA. pp. 1-9.
9. BAKER, W. A review of models of landscape change. Landscape Ecology. Vol. 2. 1989. pp. 111-133.
10. CHENG, J. Modeling Spatial & Temporal Urban Growth. 2003. PhD thesis Utrecht University. Faculty of Geographical Sciences.
11. BENENSON, I.; TORRENS P. Geosimulation: Automata-based modeling of urban phenomena. Chichester: John Wiley & Sons, Ltd. 2004.
12. WHITE, R.; ENGELEN G. High-resolution integrated modelling of the spatial dynamics of urban and regional systems. Computers, environment and urban systems, Vol. 24. 2000. pp. 383-400.
13. BATTY, M. Cities and complexity: Understanding cities with cellular automata, agentbased models and fractals. Cambridge, London: MIT Press. 2005.
14. CABRAL, P.; ZAMYATIN A. Three land change models for urban dynamics analysis in the Sintra-Cascais area. Proceedings of First Workshop of the EARSEL SIG on Urban Remote Sensing: Challenges and solutions. 2006. Berlin.
15. MULLER, M.; MIDDLETON J. A. Markov model of land-use change dynamics in the Niagara Region, Ontario, Canada. Landscape Ecology. Vol. 9. 1994. pp. 151-157.
16. BROWN, D.; PIJANOWSKI B.; DUH J. Modeling the relationships between land use and land cover on private lands in the Upper Midwest, USA. Journal of Environmental Management. Vol. 59. 2000. pp. 247-263.
17. HUBER, W. Estimating Markov transitions. Journal of Environmental Management. Vol. 61. 2001. pp. 381-385.
18. ICN. Instituto da Conservação da Natureza e Biodiversidade. [cited 2004 ovember 2004]. Available from: URL: http://www.icnb.pt. 2004.
19. INE, Instituto Nacional de Estatística. Lisboa. 2003.
20. JENSEN, J.R. Introductory Digital Image Processing: A remote sensing perspective. Second edition, edited by K.C. Clarke. New Jersey: Prentice Hall. 1996.
21. IDRISI, Idrisi Kilimanjaro. Clark Labs: Worcester, MA. 2004.
22. GONG, P.; HOWARTH J. The use of structural information for improving landcover classification accuracies at the ruralurban fringe. Photogrammetric Engineering & Remote Sensing. Vol 56. 1990. pp. 67-73.
23. MURTEIRA, B. Probabilidades e estatística. Vol. II, 2a Edição, McGraw-Hill de Portugal. 1990.
24. KIJIMA, M. Markov processes for stochastic modeling. Stochastic Modeling Series, London: Chapman & Hall. 1997.
25. ANDERSON, J.R.; HARDY E.; ROACH J.; WITMER R. A Land Use And Land Cover Classification System For Use With Remote Sensor Data. U.S. Geological Survey: Washington, DC. 1976.