Remote Sensing in Predicting Development Patterns of Built-up Land

Iqbal Eko Noviandi; Alvien Hanif Ramadhan; Rahma Nur Hasanah; Nandi

doi:10.23960/jgrs.2021.v2i2.61

Iqbal Eko Noviandi Geography Information Science Study Program, Faculty of Social Science Education, Universitas Pendidikan Indonesia
Alvien Hanif Ramadhan Geography Information Science Study Program, Faculty of Social Science Education, Universitas Pendidikan Indonesia
Rahma Nur Hasanah Geography Information Science Study Program, Faculty of Social Science Education, Universitas Pendidikan Indonesia
Nandi Department of Geography Education, Faculty of Social Science Education, Universitas Pendidikan Indonesia

DOI: https://doi.org/10.23960/jgrs.2021.v2i2.61

Keywords: Remote sensing, Build-up Index, Urban Prediction, Geographic information system

Abstract

Indonesia is a developing country whose construction and development are centered on the island of Java, especially in West Java Province. Sukabumi City is one of the areas in West Java. The development of urban areas is expanding due to various human needs to carry out the construction of buildings. Remote sensing that can be used to store developments with multi-temporal analysis with materials is Landsat imagery from 2001 to 2020. The method used is the Normalized Difference Built-up Index (NDBI). The purpose of this study is to map the development of the built-up land from year to year and predict the following years. The results of the research on the significant changes in built-up land occurred between 2013-2020, while from 2001 to 2013 there was not much change. Based on the research results, the total growth of built-up land was 1.539% per year with a population growth rate of 1.4% per year. The results of the analysis show that the area of land built in Sukabumi City in 2028 is 186,7194 km² or has increased by 21,2808 km² since 2020.

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