Urban Flood Modeling using Remote Sensing Technology and 3D Simulation: An Innovative Approach to Risk Management

DOI

10.2991/978-94-6463-732-8_6How to use a DOI?

Keywords

Urban Flood; Modeling; Remote Sensing; 3D Simulation; Samarinda-Indonesia

Abstract

The phenomenon poses the most insidious demands of urban administration, referred to as urban flooding, which usually causes extensive damage and disruption. Therefore, it is crucial to use sophisticated modeling methodologies that suit current technologies to reduce the potential of these risks. This study reports a novel method of predicting urban inundation utilizing remote sensing and 3D simulation. Remote sensing allows collecting specific spatial data to produce high-resolution floodplain maps of urban spaces. In contrast, the 3D simulation enables dynamic visualization of flood scenarios to obtain a whole sense depending on diverse conditions. However, combining both approaches improves the accuracy and depth of flood risk evaluation. It provides meaningful developments for urban designers in response to policymaking regarding how they can effectively increase their potential for increasing levels of functional resilience. The model was tested in Samarinda Seberang District (Samarinda City, Indonesia). The research resulted in developing a 3D flood model based on open-source Digital Elevation Model (DEM) data. Secondly, the results show that our model is also accurate in flood prediction and flood protection planning. The page https://zenodo.org/records/13336376 provides access to a three-dimensional video that simulates the movement of water puddles during inundation in Samarinda Seberang.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Fahrul Agus
AU  - Muhammad M. N. Rahman
AU  - Zanu A. Kamil
AU  - Okta I. Gifari
PY  - 2025
DA  - 2025/06/07
TI  - Urban Flood Modeling using Remote Sensing Technology and 3D Simulation: An Innovative Approach to Risk Management
BT  - Proceedings of the International Conference on Tropical Studies and Its Application (ICTROPS 2024)
PB  - Atlantis Press
SP  - 48
EP  - 60
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-732-8_6
DO  - 10.2991/978-94-6463-732-8_6
ID  - Agus2025
ER  -