Extraction of Urban Vegetation in Highly Dense Urban Environment with Application to Measure Inhabitants’ Satisfaction of Urban Green Space

DOI: 10.4236/jgis.2013.52012   PDF   HTML   XML   4,165 Downloads   7,209 Views   Citations


Urban environment has functioned not only for ecological reason but also for socioeconomic function, due to this reason extraction of urban vegetation in highly dense urban environment becomes more important to understand the inhabitants satisfaction of urban green space. With a medium resolution of satellite imagery, the precision is very low. We used high resolution of WorldView-2 satellite to raise the accuracy. We chose Depok City in West Java as a case study area, analyse four multispectral bands, and apply TCT algorithm for getting vegetation density. The relationship between vegetation density and inhabitants satisfaction was calculated by Geo-statistical technique based on administrative boundary. We extracted three types of urban vegetation density: good, mid and low. The final result shows that the inhabitants are mostly satisfied with good density of urban vegetation in the city forest inside Campus University of Indonesia.

Share and Cite:

F. Ramdani, "Extraction of Urban Vegetation in Highly Dense Urban Environment with Application to Measure Inhabitants’ Satisfaction of Urban Green Space," Journal of Geographic Information System, Vol. 5 No. 2, 2013, pp. 117-122. doi: 10.4236/jgis.2013.52012.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] R. Avissar, “Potential Effects of Vegetation on the Urban Thermal Environment,” Atmospheric Environment, Vol. 30, No. 3, 1996, pp. 437-448. doi:10.1016/1352-2310(95)00013-5
[2] C. S. B. Grimmond, C. Souch and M. D. Hubble, “The In?uence of Tree Cover on Summertime Energy Balance Fluxes, San Gabriel Valley, Los Angeles,” Climate Research, Vol. 6, 1996, pp. 45-57. doi:10.3354/cr006045
[3] D. J. Nowak and J. F. Dwyer, “The Urban Forest Effects (UFORE) Model: Quantifying Urban Forest Structure and Functions,” In: M. Hansen and T. Burk, Eds., Proceedings: Integrated Tools for Natural Resources Inventories in the 21st Century. IUFRO Conference, US Department of Agriculture, Forest Service, North Central Research Station, St. Paul, pp. 714-720.
[4] F. E. Kuo and W. C. Sullivan, “Environment and Crime in the Inner City,” Environment and Behavior, Vol. 33, No. 3, 2001, pp. 343-365.
[5] S. E. Coen and N. A. Ross, “Exploring the Material Basis for Health: Characteristics of Parks in Montreal Neighbourhoods with Contrasting Health Outcomes,” Health and Place, Vol. 12, No. 4, 2006, pp. 361-371. doi:10.1016/j.healthplace.2005.02.001
[6] A. F. Taylor, A. Wiley, F. E. Kuo and W. C. Sullivan, “Green Spaces as Places to Grow,” Environment and Behavior, Vol. 30, No. 1, 1998, pp. 3-28. doi:10.1177/0013916598301001
[7] J. Favela and J. Torres, “A Two-Step Approach to Satellite Image Classification Using Fuzzy Neural Networks and the ID3 Learning Algorithm,” Expert Systems with Applications, Vol. 14, No. 1-2, 1998, pp. 211-218. doi:10.1016/S0957-4174(97)00071-7
[8] R. Gamanya, P. De Maeyer and M. De Dapper, “An Automated Satellite Image Classi?cation Design Using Object-Oriented Segmentation Algorithms: A Move towards Standardization,” Expert Systems with Applications, Vol. 32, No. 2, 2007, pp. 616-624. doi:10.1016/j.eswa.2006.01.055
[9] X. Huang, J. R. Jensen and H. E. Mackey, “Machine Learning Approach to Automated Construction of Knowledge Bases for Expert Systems for Remote Sensing Image Analysis with GIS Data,” Expert Systems with Applications, Vol. 11, No. 4, 1996, pp. 8-9.
[10] E. Lange, S. Hehl-Lange and M. J. Brewer, “Scenarios Visualization for the Assessment of Perceived Green Space Qualities at the Urban-Rural Fringe,” Journal of Environmental Management, Vol. 89, No. 3, 2008, pp. 245-256. doi:10.1016/j.jenvman.2007.01.061
[11] T. T. H. Pham and D.-C. He, “How Do People Perceive the City’s Green Space? A View from Satellite Imagery (in Hanoi, Vietnam),” Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, Boston, 6-11 July 2008, pp. 1228-1231.
[12] Government of Depok City, 2001. http://www.depok.go.id/profil-kota/geografi
[13] Government of Depok City, 2011. http://www.depok.go.id/profil-kota/demografi
[14] R. J. Kauth and G. S. Thomas, “The Tasseled Cap—A Graphic Description of the Spectral-Temporal Development of Agricultural Crops as Seen by LANDSAT,” Proceedings of the Symposium on Machine Processing of Remotely Sensed Data, University of West Lafayette, Indiana, 1976.
[15] E. P. Crist and R.C. Ciccone, “Application of the Tasseled Cap Concept to Simulate Thematic Mapper Data,” Photogrammetric Engineering and Remote Sensing, Vol. 50, 1984, pp. 343-352.
[16] L. D. Yarbrough and G. Easson, “Quickbird 2 Tasseled Cap Transform Coefficients: A Comparison of Derivation Method,” Pecora 16 “Global Priorities of Land Remote Sensing”, South Dacota, 2005.
[17] F. Ramdani, “Sub-Urban Growth Impact in the Wet-Land Environment. Case Study: Rawa Danau Nature Re-Serve,” Proceedings of the 10th International Geoconference SGEM, Varna, 2010.

comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.