The Use of Multi-Sensor for Illegal Human Settlement Detection
DOI:
https://doi.org/10.21834/aje-bs.v3i7.270Keywords:
Quickbird, SPOT, Spatial Filter, Tree CountingAbstract
The paper presents preliminary results of legal and illegal settlement extraction in Pulau Gaya, Sabah using high resolution Quickbird and SPOT- 5 multi-spectral imageries using automated house detection techniques. The technique developed is spatial-based using tree counting approach. From the results, edge to edge of the house features was found to be precisely separated and can be delineated between houses that are less than 2m distance. Results show that the technique able to delineate legal houses from Quickbird image more than SPOT-5. Differing results would be due to different spatial and spectral resolutions of images.
References
Abbott J., (2001) A method-based planning framework for informal settlement upgrading. University of Cape Town:Habitat International. 26:317-333. DOI: https://doi.org/10.1016/S0197-3975(01)00050-9
Acqua, F.B., Stasolla, M., and Gamba, P. (2006) Unstructured human settlement mapping with SAR sensors, IEEE, 3602-4605.
ESCAP (2007) Economic and social commission for Asia and the Pacißc committee on poverty reduction. Fourth Edition.
Heinzle, F., Kopczynski, M., Sester, M., (2002). Spatial Data Interpretation for The Intelligent Access to Spatial Information in the Internet. Durban, South Africa: Proceedings of 21st International Cartographic Conference.
Karishma,B., Andre, B., and Jarrel, W. (2008). Potential application of remote sensing in monitoring informal settlements in developing countries where complimentary data does not exist. Johannesburg, South Africa: Planning Africa Conference Sandton Convention Centre.
Maipol Spait, (2001). Marine park management: issues and challenges. Sabah Parks. 6th SITE Research Seminar, 13-14 September.
Mohammad Awrangjeb, Chunsun Zhang, and Clive, S.F. (2012). Building Detection in Complex Scenes Through Effective Separation of Buildings from Trees. Photogrammetric Engineering & Remote Sensing, Vol. 78: 729-745. DOI: https://doi.org/10.14358/PERS.78.7.729
Sohn, G., and Dowman, I. (2007). Data Fusion og High-Resolution Satellite Imagery and Lidar Data for Automating Building Extraction. ISPRS Journal of Photogrammetry and Remote Sensing, Vol 62:43-63. DOI: https://doi.org/10.1016/j.isprsjprs.2007.01.001
Stasolla Mattia and Paolo Gamba. (2007). Exploiting spatial patterns for informal settlement Detection in arid environments using optical spaceborn data. Remote sensing and Spatial Information Sciences, 36.
Taupek M., Ainy. (2001). Marine Parks of Malaysia, Department of Fisheries Malaysia, Ministry of Agriculture.
Tatem, A. J., Noor A, M., and Hay S. I. (2004) Deßning approaches to settlement mapping for public health management in Kenya using medium spatial resolution satellite imagery, Remote Sensing of Environment, 93: 42-52. DOI: https://doi.org/10.1016/j.rse.2004.06.014
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Asian Journal of Environment-Behaviour Studies
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
