Proceedings of the 1st International Conference on Environment and Sustainability Issues, ICESI 2019, 18-19 July 2019, Semarang, Central Java, Indonesia

Research Article

Using LANDSAT Imagery for Analysis of Built Land Index In Semarang City

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  • @INPROCEEDINGS{10.4108/eai.18-7-2019.2290392,
        author={Tjaturahono Budi Sanjoto and Erni  Suharini and Leo Wibowo Seta Nugraha},
        title={Using LANDSAT Imagery for Analysis of Built Land Index In Semarang City},
        proceedings={Proceedings of the 1st International Conference on Environment and Sustainability Issues, ICESI 2019, 18-19 July 2019, Semarang, Central Java, Indonesia},
        publisher={EAI},
        proceedings_a={ICESI},
        year={2019},
        month={12},
        keywords={built land ndbi landsat imagery},
        doi={10.4108/eai.18-7-2019.2290392}
    }
    
  • Tjaturahono Budi Sanjoto
    Erni Suharini
    Leo Wibowo Seta Nugraha
    Year: 2019
    Using LANDSAT Imagery for Analysis of Built Land Index In Semarang City
    ICESI
    EAI
    DOI: 10.4108/eai.18-7-2019.2290392
Tjaturahono Budi Sanjoto1,*, Erni Suharini1, Leo Wibowo Seta Nugraha1
  • 1: Jurusan Geografi, Fakultas Ilmu Sosial, Universitas Negeri Semarang, Indonesia
*Contact email: tjaturahono.budis@gmail.com

Abstract

Semarang City as one the biggest city in Indonesia is still growing as a result of the population continues to grow. This condition results in an increase in the area of land being built. The increase in uncontrolled built-up land can result in changes in surface temperature conditions. The main objective of the study was to determine the development of the index of built-up land in Semarang City from 1997-2017. The object of this study includes land cover, index of built up land in the city of Semarang. This study uses several methods of data collection, namely interview methods, image interpretation, surveys, and secondary data documentation. The tools and materials used were Landsat 5 TM imagery recording on 15 August 1997, Landsat 5 TM imagery recording on 27 August 2007, and Landsat 8 OLI / TIRS Imagery recording on 22 August 2017. For the analysis of built-up land through interpretation of satellite imagery assisted by using the NDBI algorithm NDBI=(SWIR-NIR)/(SWIR+NIR) The results of the study showed that within a period of 20 years the index of land constructed in very high categories experienced a significant change. In 1997 the area of the Very Built Land Index reached 17.74%, then in 2002 it reached 18.42% and in 2017 it reached an area of 21.88%. With the broader NDBI category very high, this can cause a rise in surface temperature which in turn will make Semarang City uncomfortable as a residential city.