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.

Published
2020-02-28
Section
Articles