Normalized Dryness Built-up Index (NDBI) to Detect Settlement Change In Buleleng Sub-District

Main Article Content

Muhammad Rahman
A Sediyo Adi Nugraha

Abstract

This research aims to find out the development of settlements that occur over the next 20 years. Monitoring the development of settlements is carried out by remote sensing methods using Landsat 7 ETM+ imagery and Landsat 8 OLI imagery. Landsat 7 ETM+ used in 2000, and Landsat 8 OLI used in 2019. The algorithm is used to identify settlement development using the Normalized Dryness Built-up Index (NDBI). This algorithm uses two bands, such as Near-infrared and shortwave infrared, to calculate. The results showed that the growth of settlements occurred very significant because, in 2000, the number of settlements amounted to 628.2 hectares and in 2019 amounted to 1891.8 hectares. The increase in settlements occurred throughout the region in the Buleleng sub-district. Therefore, it can be concluded that NDBI can be used to monitor the development of settlements and the increase in settlements occurring as much as 28 % over 20 years.

Article Details

Section
Articles

References

Arsandi, A., R, D., Ismiyati, I., & Hermawan, F. (2017). Dampak Pertumbuhan Penduduk Terhadap Infrastruktur Di Kota Semarang. Jurnal Karya Teknik Sipil S1 Undip, 6(4), 1–14.

Chavez, J. (1988). Animproved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, 24, 159–279.

Department of the Interior U.S. Geological Survey. (2016). Landsat 8 Data Users Handbook. In Nasa (Vol. 8, Issue June).

Fawzi, N. I. (2017). Mengukur Urban Heat Island Menggunakan Penginderaan Jauh , Kasus Di Kota Yogyakarta ( Measuring Urban Heat Island using Remote Sensing , Case of Yogyakarta City ). Majalah Ilmiah Globe, 19(2), 195–206.

Hasan, M. Z., Citra, I. P. A., & Nugraha, A. S. A. (2019). Monitoring Perubahan Garis Pantai Di Kabupaten Jembrana Tahun 1997 – 2018 Menggunakan Modified Difference Water Index ( Mndwi ) Dan Digital Shoreline Analysis System ( DSAS ). Jurnal Pendidikan Geografi Undiksha, 7(3), 93–102.

Nugraha, A. S.A., Gunawan, T., & Kamal, M. (2019). Comparison of Land Surface Temperature Derived from Landsat 7 ETM+ and Landsat 8 OLI/TIRS for Drought Monitoring. IOP Conference Series: Earth and Environmental Science, 313(1), 0–10. https://doi.org/10.1088/1755-1315/313/1/012041

Nugraha, A Sediyo Adi. (2019). Pemanfaatan Metode Split-Windows Algorithm ( SWA ) pada Landsat 8 Menggunakan Data Uap Air MODIS Terra (The Application of Split-Windows Algorithm (SWA) Methods on Landsat 8 Using Modis Terra Water Vapor). Geomatika, 25(1), 9–16. https://doi.org/http://doi.org/10.24895/JIG.2019.25-1.877

Nugraha, A Sediyo Adi, & Atmaja, D. M. (2020). Pemanfaatan Citra Penginderan Jauh Multi-Temporal Penggunaan Lahan Di Kabupaten Buleleng ( The Application of Multi-Temporal Remote Sensing Images to Detect Urban Heat Island ( UHI ) for Land use Changes in Buleleng District ). Majalah Ilmiah Globe, 22(2), 71–82.

Nugraha, A Sediyo Adi, Kamal, M., & Gunawan, T. (n.d.). Modification Of Temperature Vegetation Dryness Index (TVDI) Method For Detecting Drought With Multi-Scale Image. Unpublished.

Purwahita, R. (2015). Strategi Pengembangan Wisata Bahari di Pantai Lovina Kecamatan Buleleng Kabupaten Buleleng (Akpar “Kerta Wisata” Denpasar). 13, 29–36.

Risma Pandapotan Sitorus, S., Leonataris, C., Dyah Retno Panuju, dan, Ilmu Tanah dan Sumberdaya Lahan, D., Pertanian IPB, F., & Meranti Kampus, J. (2012). Analysis of Land Use Change Pattern and Regional Development in Bekasi City, West Java Provinces. J. Tanah Lingk, 14(1), 21–28.

Sadali, M. I. (2014). Trend Perkembangan Penduduk Dan Implikasinya Terhadap Kebutuhan Rth (Ruang Terbuka Hijau) Di D.I. Yogyakarta. Prosiding Pertemuan Imiah Tahunan (PIT) Ikatan Geograf Indonesia, 366–379.

Septiani, R., Citra, I. P. A., & Nugraha, A. S. A. (2019). Perbandingan Metode Supervised Classification dan Unsupervised Classification terhadap Penutup Lahan di Kabupaten Buleleng. Jurnal Geografi : Media Informasi Pengembangan Dan Profesi Kegeografian, 16(2), 90–96. https://doi.org/10.15294/jg.v16i2.19777

Subki, R. M. (2018). Dampak Pertumbuhan Penduduk Terhadap Perkembangan Ruang Kota Sangatta. Jurnal Arsitektur ZONASI, 1(1), 16. https://doi.org/10.17509/jaz.v1i1.11532

Sutanto. (1986). Pengideraan Jauh Jilid I.

Sutanto. (1987). Penginderaan Jauh Jilid II. Gadjah Mada University Press.

U.S. Geology Survey Department. (2010). Landsat 7 Science Data Users Handbook. https://doi.org/10.1001/archinternmed.2011.606

Zha, Y., Gao, J., & Ni, S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24(3), 583–594. https://doi.org/10.1080/01431160304987.