Pemetaan Presentase Kepadatan Bangunan Menggunakan Model Regresi Berdasarkan Citra Landsat 8

( Studi Kasus Kota Bandung)

  • Amri Rosyadi Universitas Gadjah Mada
  • Maulidini Fatimah Azahra Universitas Muhammadiyah Surakarta
Keywords: Building Density, Landsat 8, NDBI, Regression

Abstract

The development of cities and the population causes an increasing number of buildings in an area. Building density identification can use relatively faster remote sensing imagery. This study aims to map the density of buildings in the city of Bandung based on the regression model. The method used to identify building density in this study is regression using the Normalized Difference Built-up Index (NDBI) index. The results of this study are regression models Y = 0.071 + 0.001X which can be used to map building densities with r square values at 0.383. This method is considered to be very fast and accurate compared to other methods for building density.

References

Suharyadi, Transformasi Spektral Data Digital Landsat TM untuk Pemetaan Kepadatan Bangunan di Daerah Perkotaan Yogyakarta, Yogyakarta: Lembaga Penelitian UGM, 2000.

S. Puspitasari and Suharyadi, Kajian Kepadatan Bangunan Menggunakan Interpretasi Hibrida Citra Landsat-8 Di Kota Semarang Tahun 2015, Semarang: Lembaga Penelitian UGM, 2015.

E. Mansouri, F. Feizi, A. J. Rad and M. Arian, "Remote-sensing data processing with the multivariate regression analysis method for iron mineral resource potential mapping: case study in the Sarvian area, central Iran," Solid Earth, vol. 9, p. 373–384, 2018.

Y. Zha, J. Gao and S. Ni, "Use of normalized difference built-up index in automatically mapping urban areas from TM imagery," International Journal of Remote Sensing, vol. 24, no. 3, pp. 583-594, 2003.

Ardiansyah, R. Hernina, W. Suseno, F. Zulkarnain, R. Yanidar and R. Rokhmatuloh, "Percent of Building Density (PBD) of Urban Environment: A multi-index Approach Based Study in DKI Jakarta Province," Indonesian Journal of Geography, vol. 50, no. 2, pp. 154-161, 2018.

Pemerintah Kota Bandung, "Tentang Kota Bandung - Geografi," 2019. [Online]. Available: Bandung.go.id. [Accessed 17 Desember 2019].

Pemerintah Kota Bandung, "Tentang Kota Bandung - Demografi," 2019. [Online]. Available: https://bandung.go.id/. [Accessed 17 Desember 2019].

USGS, "US Geological Survey Server," USGS, 2019. [Online]. Available: https://www.usgs.gov. [Accessed 20 9 2019].

H. Granian, S. H. Tabatabaei, H. H. Asadi and E. J. Carranza, "Multivariate regression analysis od lithogeochemical data to model subsurface mineralization: a case study from the Sari Gunay epithermal gold deposit," Geochem Explore, pp. 248-258, 2015.

Published
2020-02-28
Section
Articles