Fajar Yulianto, NFn Suwarsono, Sayidah Sulma, Muhammad Rokhis Khomarudin


Flood is the most frequent hydro-meteorological disaster in Indonesia. Flood disasters in the Bandung basin result from increasing population density, especially in the Citarum riverbank area, accompanied by land use changes in upstream of the Citarum catchment area which has disrupted the river’s function. One of the basic issues that need to be investigated is which areas of the Bandung basin are prone to flooding. This study offers an effective and efficient method of mapping flood-prone areas based on flood events that have occurred in the past through the use of historical remote sensing image data. In this research, Landsat-8 imagery was used to observe the inundated area in the Bandung basin in the past (2014–2018) using an improved algorithm, the modified normalized water index (MNDWI). The results of the study show that MNDWI is the appropriate parameter to be used to detect flooded areas in the Bandung basin area that have heterogeneous land surface conditions. The flood-prone area was determined based on flood events for 2014 to 2018, identified as inundated areas in the images. The estimation of the flood-prone area in the Bandung basin is 11,886.87 ha. Most of the flood-prone areas are in the subdistricts of Rancaekek, Bojongsoang, Solokan Jeruk, Ciparay, Cileunyi, Bale Endah and Cikancung. This area geographically or naturally is a water habitat area. Therefore, if the area will be used for residential, this will have consequences that flood will always be a threat to the area. 


inundated area; flood-prone area; Bandung basin; Landsat-8; MNDWI

Full Text:



Chavez Jr. PS, (1988), An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment 24:459–79.

Chavez Jr. PS, (1989), Radiometric Calibration of Landsat Thematic Mapper Mutispectral Images. Photogrammetric Engineering and Remote Sensing 55(9):1285-1294.

Dam MAC, Suparan P., Nossin JJ, Voskuil, RPGA and GTL Group, (1996), A chronology for geomorphological developments in the greater Bandung area, West-Java, Indonesia. Journal of Southeast Asian Earth Sciences 14 Nos 1/2:101-115.

Darwin, Kombaitan B., Yudoko G., and Purboyo, H., (2018), Application of GIS on determination of flood prone areas and critical arterial road network by using CHAID method in bandung area. MATEC Web of Conferences 147: No. 02007, 11 pages.

Gao BC, (1996), NDWI a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment 58:257-266.

Harliani, F., (2014), Persepsi Masyarakat Kampung Cieunteung, Kabupaten Bandung tentang Rencana Relokasi Akibat Bencana Banjir. Jurnal Perencanaan Wilayah dan Kota 25(1):37-57.

Irons JR, Dwyer JL, Barsi JA, (2012), The next Landsat satellite: The Landsat Data Continuity Mission. Remote Sensing of Environment 122:11-21.

Ji L., Zhang L., and Wylie, (2009), Analysis of Dynamic Thresholds for the Normalized Difference Water Index. Photogrammetric Engineering & Remote Sensing (75)11:1307–1317.

Kodoatie R., and Sugiyanto, (2002), Banjir: Beberapa Penyebab dan Metoda Pengendaliannya dalam Perspektif Lingkungan. Yogyakarta: Pustaka Belajar.

McFeeters SK, (1996), The use of normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17:1425–1432.

Narulita I., Rahmat A., and Maria R., (2008), Aplikasi Sistem Informasi Geografi untuk Menentukan Daerah Prioritas Rehabilitasi di Cekungan Bandung. Jurnal Riset Geologi dan Pertambangan 18(1): 23-35.

Nuraeni R., Sitorus SRP, and Panuju DR, (2017), Analisis Perubahan Penggunaan Lahan dan Arahan Penggunaan Lahan Wilayah di Kabupaten Bandung. Buletin Tanah dan Lahan, 1(1): 79-85

Raharjo PP, (2017), Understanding and Identifying Natural Hazard for Bandung City Preparedness and Mitigation against Natural Disaster. MATEC Web of Conferences 103: No. 07011, 6 pages.

Rogers AS, and Kearney MS, (2004), Reducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices. International Journal of Remote Sensing, 25(12): 2317–2335.

Wangsaatmaja S., Sabar A., and Prasetiati, MAN, (2006), Permasalahan dan Strategi Pembangunan Lingkungan Berkelanjutan, Studi Kasus: Cekungan Bandung. Jurnal Geologi Indonesia 1(3): 163-171.

Xu H., (2006), Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing 27(14): 3025–3033.

Zanter K. (Ed)., (2015), Landsat 8 (L8) Data Users Handbook, Version 1. Sioux Falls, South Dakota: Department of the Interior, U.S. Geological Survey.


  • There are currently no refbacks.