ANALYSIS OF LAND USE SPATIAL PATTERN CHANGE OF TOWN DEVELOPMENT USING REMOTE SENSING
Abstract
The Assessment of the physical character of a city is considered relatively easier than the social-cultural aspects. It is important to recognize the type of city form and to predict the behavior of people in the city and its surrounding. Due to those characteristics, the study of the pattern of physical development of the city is required. The objective of research is to analyze the change of spatial pattern of the city due to the city growing by remote sensing. The multitemporal data of Landsat 5/7/8 year 2000, 2006 and 2015 in Jabodetabek area were used. The classification technique had been done and it produced five classes of land uses. Those are water, built-up area, vegetation, other land use and no data. The results of the analysis in Jabodetabek area (Jakarta, Bogor, Depok, Tangerang and Bekasi) show that there was land use changes from vegetation and other land use area to built-up area with an average accuracy of 78% in each year. The pattern of physical development of the city looks linear from year 2000 until year 2006, which is confirmed as concentric pattern from year 2006 to 2015. Based on those analysis, it confirmed that the city development in Jakarta as the center was influenced by the spatial land development of the surrounding cities of Depok, Bogor, Bekasi and Tangerang. The pattern of spatial development from 2000 to 2006 in Bogor, Bekasi and Depok areas is Linear pattern, whereas from 2006 - 2015 the pattern of spatial development shows Propagation Concentric pattern. For Tangerang Region in 2000-2015 its development is patterned Propagation Concentric.
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Arminah, Valintina, (2002), Study of Physical Development Pattern of Surakarta City with SPOT and Landsat TM Image. Majalah Geografi Indonesia, Yogjakarta.
Birtanto, (2016), 24 Pengertian Kota Menurut Para Ahli Terlengkap (Understanding the City According to the Experts Complete). Seputar Pengetahuan, Buku Geografi.
Lillesand T., Kiefer RW, Chipman JW, (2015), Remote Sensing and Image Interpretation (7th ed.). Wiley. ISBN 0-471-15227-7.
Mundhe N., (2016), Department of Geography, Sir Parashurambhau College, Pune - 30. Global Journal For Research Analysis.
Mundia CN, Aniya M., (2005), Analysis of Land Use/Cover Changes and Urban Expansion of Nairobi City using Remote Sensing and GIS. International Journal of Remote Sensing Vol. 26.
Maktav D., Erbek FS, Jürgens C., (2005), Remote Sensing of Urban Areas. International Journal of Remote Sensing. Vol. 26.
Rifai, (2011), Analisis Perkembangan Fisik Kota Palu dengan Citra Landsat (Analysis of Physical Development of Palu City with Landsat Image). Jurnal Ruang. Vol. 3 Nomor. Jurusan Arsitektur Fakultas Teknik Universitas Tadulako.
Sinha P., Verma NK, Ayele E., (2016), Urban Built-up Area Extraction and Change Detection of Adama Municipal Area using Time-Series Landsat Images. International Journal of Advanced Remote Sensing and GIS. Vol. 5 Issue 8, pp. 1886-1895. Article ID Tech-649, ISSN 2320-0243.
Syam T., Darmawan A., Banuwa IS, et al, (2012), Utilization of Satellite Imagery in Identifying of Land Cover Changes: Case Study of Protected Forest of Register 22 Way Waya Central Lampung. Globe Journal, Bogor.
Li X.,, Yeh AGO, (2004), Analyzing Spatial Restructuring of Land Use Patterns in a Fast-Growing Region using Remote Sensing and GIS. Journal of Landscape and Urban Planning. Vol. 69, Issue 4, Pages 335-354
Ma Y., Xu R., (2010), Remote Sensing Monitoring and Driving Force Analysis of Urban Expansion in Guangzhou City China. Journal of Habitat International. Vol 34, Pages 228–235.
Yunus, Sabari H., (1994), Theory and Model Structure of City Damages. Fakultas Geografi UGM, Yogyakarta.
Yunus, Sabari H., (2000), City Space Structure. Penerbit Pustaka Pelajar, Yogyakarta.
Wang L, Zhu J., Xu Y.,et al, (2018), Urban Built-Up Area Boundary Extraction and Spatial-Temporal Characteristics Based on Land Surface Temperature Retrieval. Journal of Remote Sensing, MDPI.