Analysis of Built-up Land Spatial Patterns Using Multitemporal Satellite Imagery in Pekalongan City

  • Nurhadi Bashit Department of Geodetic Engineering, Faculty of Engineering, Universitas Diponegoro Jl. Prof. Sudarto, SH, Tembalang, Semarang Telp.(024)76480785, 76480788, Indonesia.
  • Yudo Prasetyo Department of Geodetic Engineering, Faculty of Engineering, Universitas Diponegoro Jl. Prof. Sudarto, SH, Tembalang, Semarang Telp.(024)76480785, 76480788, Indonesia.
  • Abdi Sukmono Department of Geodetic Engineering, Faculty of Engineering, Universitas Diponegoro Jl. Prof. Sudarto, SH, Tembalang, Semarang Telp.(024)76480785, 76480788, Indonesia.
Keywords: Built-up Land, Index-based Built-up Index (IBI), Spatial Pattern

Abstract

Regional growth is characterized by an increase in built-up land. An increase in built-up land can cause changes in land use such as vacant land turned into built-up land. One of the cities in Central Java that experienced an increase in built-up land was in the City of Pekalongan. Based on Pekalongan City Regulation Number 30 Year 2011, the National Spatial Planning stipulates that Pekalongan City is the Regional Activity Center. This causes the Pekalongan City to have the potential to increase the amount of built-up land. An increase in uncontrolled built-up land can cause negative impacts such as reduced water catchment areas so that the disruption of water resources conditions. Therefore, it is necessary to monitor the increase of built-up land in Pekalongan City and see its development spatial patterns. One of method for monitoring a city's built-up land uses the remote sensing method. This study uses an Index-based Built-up Index (IBI) algorithm. Based on the results of this study, it can be concluded that the city of Pekalongan experienced an increase in built-up land between 2013 and 2019. The largest increase in built-up land is in the range of 2017 to 2019 with an area of increase of 359.088 ha so that it can be obtained the speed of increase of built-up land by 170.544 ha/year. The spatial pattern of built-up land increased in 2017 to 2019 heading south because South Pekalongan Regency has a toll road that connects the main road with the toll road.

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References

Alhawiti, R. (2017). Using Landsat-8 Data to Explore the Correlation Between Urban Heat

Island and Urban Land Uses. International Journal of Research in Engineering

and Technology, Vol. 5, p4557-466.

Badan Standardisasi Nasional. (2010). Klasifikasi Penutup Lahan.

Bartuska, T and Young G. (1994). “The Built Environment Definition and Scope” in The Built Environment: A Creative Inquiry into Design and Planning, Crisp Publications, Inc.

Ray, T.W. (2006). Vegetation in remote sensing FAQs. In ER Mapper Applications, pp. 85–97 (Perth, Australia: ER Mapper Ltd.)

Richards, J. A. (2006). Remote Sensing Digital Image Analysis: An Introduction. Berlin: Springer.

Rida Azmi, Omar Bachir Alami, Abd Errahim Saadane, Ilias Kacimi and Tarik Chafq. (2016). A Modifed and Enhanced Normalized built-up Index using Multispectral and Thermal Bands, Indian Journal of Science and Technologi, Vol 9(28), DOI: 10.17485/ijst/2016/v9i28/87405

Sa’diyah, U. (2016). Studi Optimalisasi Pemanfaatan Lahan di Kampus Universitas Diponegoro Tembalang Berdasarkan Analisis Citra Multi Temporal. Tugas Akhir. Universitas Diponegoro: Semarang

Short, N. M, (1982), Landsat Tutorial Workbook Basics of Satellite Remote Sensing, NASA, Washington DC.

Smith, A. J. (200). Subpixel estimates of impervious surface cover using Landsat TM imagery. [MS Scholarly Paper]. College Park: Department of Geography, University of Maryland; 2000.

Xu, H. (2008). A new index for delineating built-up land features in satellite imagery. International Journal of Remote Sensing, 29, pp. 4269–4276.

Xu, H., X. Wang, and G. Xiao. (2000). A Remote Sensing and GIS Integrated Study On Urbanization With Its Impact on Arable Lands, Fuqing City, Fujian Province, China. Land Degradation & Development. 2000. 11 (4) 301-314

Yunus, H. (2000). Struktur Tata Ruang Kota. Pustaka

Zha Y, Gao J, and Ni S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing. 2003; 24(3):583–94

Zhao H, and Xiaoling C. (2005). Use of normalized difference bareness index in quickly mapping bare areas from TM/ETM+. Proceedings of 2005 IEEE International Geoscience and

Remote Sensing Symposium, IGARSS ‘05; 2005 Jul 25-29. p. 1666–8

Published
2020-07-06