Detection of Development and Density Urban Build-Up Area with Satellite Image Overlay
DOI:
https://doi.org/10.55151/ijeedu.v1i2.12Keywords:
Geographic Information System (GIS), Landsat 8 OLI TIRS, Land Use, Urban Index (UI), Remote SensingAbstract
The growth dynamics of urban areas and the increase in land requirements are a series of each other influence each other The method used in this study is a quantitative method through spatial analysis using Geographic Information Systems. The purpose of this study was to see the extent to which the development of urban areas using the Urban Index (UI) method. Data analysis carried out by overlapping techniques using a map of the built area of Land Use in 2013 and the results of image interpretation for the built area in 2017. The results of the study showed that there was a percentage increase in the built area from 2013 to 2017 of 12.67%. Then from the total area of Makassar City, around 60.72% of the area built in 2013, and there was a significant increase in 2017 to 76.30%. The process of expansion of built-up land without control often impacts on the loss of land that has ecological functions and then impacts on the emergence of environmental problems. One of the things that can be done to prevent the adverse effects of the development of built land is to monitor and predict its development so that solutions can found before the adverse effects occur.
References
D. Acemoglu, “Introduction to economic growth,” J. Econ. Theory, vol. 147, no. 2, pp. 545–550, 2012.
E. J. Malecki, “Technology and economic development: The dynamics of local, regional and national competitiveness,” 1997.
M. Branch, Comprehensive city planning: Introduction & explanation. Routledge, 2018.
M. I. Ali and M. R. Abidin, “Population Density and Intensity of Traffic Connection: Spatial Analysis (Overlay),” Int. J. Sci. Res., vol. 7, no. 12, pp. 546–552, 2018.
S. Kostof, “The city assembled,” Elem. urban form through Hist., 1992.
M. I. Ali, A. H. Hasim, and M. R. Abidin, “Monitoring the Built-up Area Transformation Using Urban Index and Normalized Difference Built-up Index Analysis,” Int. J. Eng. Trans. B Appl., vol. 32, no. 5, pp. 647–653, 2019.
G. Richnau, B. Wiström, A. B. Nielsen, and M. Löf, “Creation of multi-layered canopy structures in young oak-dominated urban woodlands–The ‘ecological approach’revisited,” Urban For. urban Green., vol. 11, no. 2, pp. 147–158, 2012.
M. Schindler and G. Caruso, “Urban compactness and the trade-off between air pollution emission and exposure: Lessons from a spatially explicit theoretical model,” Comput. Environ. Urban Syst., vol. 45, pp. 13–23, 2014.
M. I. Ali, G. D. Dirawan, A. H. Hasim, and M. R. Abidin, “Detection of Changes in Surface Water Bodies Urban Area with NDWI and MNDWI Methods,” International Journal on Advanced Science Engineering Informatioan Technology, vol. 9, no. 3, pp. 946–951, 2019.
Q. Wu, R. Chen, H. Sun, and Y. Cao, “Urban building density detection using high resolution SAR imagery,” in 2011 Joint Urban Remote Sensing Event, 2011, pp. 45–48.
H. Xu, “Extraction of urban built-up land features from Landsat imagery using a thematic-oriented index combination technique,” Photogramm. Eng. Remote Sensing, vol. 73, no. 12, pp. 1381–1391, 2007.
J. R. Jensen and K. Lulla, “Introductory digital image processing: a remote sensing perspective,” 1987.
T. E. Avery and G. L. Berlin, Fundamentals of remote sensing and airphoto interpretation. Macmillan, 1992.
T. Lillesand, R. W. Kiefer, and J. Chipman, Remote sensing and image interpretation. John Wiley & Sons, 2015.
Q. Weng, Remote sensing of impervious surfaces. Boca Raton, Florida, USA: CRC Press, Taylor & Francis Group, 2007.
T. M. Lillesand, R. W. Kiefer, and J. W. Chipman, Remote sensing and image interpretation. New York: John Wiley & Sons Inc., 1994.
X. L. Chen, H. M. Zhao, P. X. Li, and Z. Y. Yin, “Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes,” Remote Sens. Environ., vol. 104, no. 2, pp. 133–146, 2006.
A. Lashin and N. Al Arifi, “Geothermal energy potential of southwestern of Saudi Arabia exploration and possible power generation: A case study at Al Khouba area - Jizan,” Renew. Sustain. Energy Rev., vol. 30, pp. 771–789, 2014.
C. P. Lo, D. A. Quattrochi, and J. C. Luvall, “Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect,” Int. J. Remote Sens., vol. 18, no. 2, pp. 287–304, 1997.
M. Kawamura, S. Jayamana, and Y. Tsujiko, “Relation between social and environmental conditions in Colombo Sri Lanka and the urban index estimated by satellite remote sensing data,” Int. Arch. Photogramm. Remote Sens, vol. 31, pp. 321–326, 1996.
A. Rikimaru and S. Miyatake, “Development of forest canopy density mapping and monitoring model using indices of vegetation, bare soil and shadow,” in Presented paper for the 18th ACRS, 1997.
M. Hillsdon, J. Panter, C. Foster, and A. Jones, “The relationship between access and quality of urban green space with population physical activity,” Public Health, vol. 120, no. 12, pp. 1127–1132, 2006.
G. Higgs, R. Fry, and M. Langford, “Investigating the implications of using alternative GIS-based techniques to measure accessibility to green space,” Environ. Plan. B Plan. Des., vol. 39, no. 2, pp. 326–343, 2012.
D. Dai, “Racial/ethnic and socioeconomic disparities in urban green space accessibility: Where to intervene?,” Landsc. Urban Plan., vol. 102, no. 4, pp. 234–244, 2011.
R. E. Park and E. W. Burgess, The city. University of Chicago Press, 2019.
M. Carmona, T. Heath, T. Oc, and S. Tiesdell, Public places-Urban spaces. Routledge, 2012.
K. Lynch, Good city form. MIT press, 1984.
J. Quarrie, Earth Summit 1992: The United Nations Conference on Environment and Development, Rio de Janeiro. Regency Press, 1992.
L. Hens and B. Nath, The world summit on sustainable development. Springer, 2005.
M. A. Benedict and E. T. McMahon, “Green infrastructure: smart conservation for the 21st century,” Renew. Resour. J., vol. 20, no. 3, pp. 12–17, 2002.
P. H. Gobster, J. I. Nassauer, T. C. Daniel, and G. Fry, “The shared landscape: what does aesthetics have to do with ecology?,” Landsc. Ecol., vol. 22, no. 7, pp. 959–972, 2007.
S. W. Myint, P. Gober, A. Brazel, S. Grossman-Clarke, and Q. Weng, “Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery,” Remote Sens. Environ., vol. 115, no. 5, pp. 1145–1161, 2011.
S.-H. Cho, N. C. Poudyal, and R. K. Roberts, “Spatial analysis of the amenity value of green open space,” Ecol. Econ., vol. 66, no. 2–3, pp. 403–416, 2008.
A. Chiesura, “The role of urban parks for the sustainable city,” Landsc. Urban Plan., vol. 68, no. 1, pp. 129–138, 2004.
J. R. Wolch, J. Byrne, and J. P. Newell, “Urban green space, public health, and environmental justice: The challenge of making cities ‘just green enough,’” Landsc. Urban Plan., vol. 125, pp. 234–244, 2014.
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