Dhanu Sekarjati, Muhammad Hanif, Siffa Anastasya Komala, Eggy Arya Giofandi, Febita Safera Putri, Brigitta Audrynne Rombe Bunga, Wasana Putklang, Ratna Wilis
Real-time monitoring remains a challenge in providing accurate information, especially in the case of urban flood inundation disasters. The accuracy of data for disaster risk reduction has a positive impact on reducing the loss of livelihood or the regional economy. Understanding flood levels and their impact on urban areas can be crucial information for flood mitigation and effective urban planning. The research aims to conduct a rapid monitoring investigation for flood inundation detection in Makassar City, Indonesia, using Sentinel-1 SAR image data and assess the exposure of urban building areas to flooding. By identifying flood inundation areas using backscatter values, it was determined that Tamalanrea District exhibits a high density and is prone to flooding as a result of urban expansion. Additionally, Biringkanaya District, which is adjacent to Tamalanrea, was also impacted by the flood. The most severely affected area was found to be Tamalanrea District, with an inundation area covering 73,114 m2. It also recorded the highest extent of built-up area affected by flooding, reaching 29,475 m2. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Geoinformatics, Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen, Thailand; Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Science, IPB University, Bogor, Indonesia; Graduate Program of Regional Planning Science, Faculty of Agriculture, IPB University, Bogor, Indonesia; Department of Geography, Faculty of Social Science, Universitas Negeri Padang, Padang, Indonesia
