Performance of UAV Image for Flood Mapping with 2 Dimensional Model in Kaliputih River, Panti District

  • Icha Derka Department of Civil Engineering, University of Jember, Jember, 68121, Indonesia
  • Entin Hidayah Department of Civil Engineering, University of Jember, Jember, 68121, Indonesia http://orcid.org/0000-0002-1233-6850
  • Gusfan Halik Department of Civil Engineering, University of Jember, Jember, 68121, Indonesia

Abstract

In January 2006, the flash flood in Panti Sub-district was a national disaster, causing damage to building infrastructure and fatalities. From this incident, it is necessary to have flood mitigation by providing a map of the distribution of flood inundation using a 2D hydraulic model to provide information regarding the extent of flood inundation in the study area. Due to the limited DEM data for 2D modeling, it is necessary to use UAV images to provide a DSM with good and higher resolution. This study aims to assess the performance of 2D flood modeling results using HEC-RAS equipped with RAS Mapper through UAV processing as input. There are 21 GCP in the study area as an increase in accuracy, the RMSE value in the horizontal direction is 0.3853m, and the vertical direction is 0.1836m. From the CE90 accuracy test results for a horizontal accuracy of 0.58m and LE90 for a vertical accuracy of 0.30m, it can be concluded that the map accuracy test meets the 1:2500 scale. Terrain maps are input to HEC-RAS; selected meshes are 5x5m and 2x2m. The modeling results can show the inundation depth in each GCP from the min-max depth. The model calibration shows an RMSE value of 0.183, while the flood depth validation shows an RMSE value of 0.13. In other words, modeling can represent the distribution of flood inundation in the study area and provide benefits for the community to be more alert in the event of a flood in the coming year.


Keywords : UAV; GCP; DSM; HEC-RA; Flood mapping


 


Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember


Creative Commons License
This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

References

Annis, A., Nardi, F., Petroselli, A., Apollonio, C., Arcangeletti, E., Tauro, F., ... & Grimaldi, S. (2020). UAV-DEMs for small-scale flood hazard mapping. Water, 12(6), 1717. https://doi.org/10.3390/w12061717.

Azmi, S. M., Ahmad, B., & Ahmad, A. (2014). Accuracy assessment of topographic mapping using UAV image integrated with satellite images Accuracy assessment of topographic mapping using UAV image integrated with satellite images. IOP Conference Series: Earth and Environmental Science OPEN, 1–6. https://doi.org/10.1088/1755-1315/18/1/012015.

Bailey, M. (2019). A Comparison Between 1D and 2D Hydraulic Modeling for Bridge Replacement Projects. INDOT Office of Hydraulics.

Bhandari, B., Oli, U., Pudasaini, U., & Panta, N. (2015). Generation of High Resolution Dsm Using UAV Images. FIG Working Week, May, 1–28.

Brunner, G. W., Sanchez, A., Molls, T., & Parr, D. A. (2018). HEC-RAS Verification and Validation Tests. US Army Corps of Engineers–Hydrologic.

Elkhrachy, I. (2021). Accuracy Assessment of Low-Cost Unmanned Aerial Vehicle ( UAV ) Photogrammetry. Alexandria Engineering Journal, 60(6), 5579–5590. https://doi.org/10.1016/j.aej.2021.04.011.

Luqmanto G. (2016). Dampak Banjir, Krisis Air Bersih Melanda Warga Kecamatan Panti. Retrieved from https://rri.co.id.

Gindraux, S., Boesch, R., & Farinotti, D. (2017). Accuracy assessment of digital surface models from Unmanned Aerial Vehicles’ imagery on glaciers. Remote Sensing, 9(2), 1–15. https://doi.org/10.3390/rs9020186.

Hamdi, M., El Molla, D. A., & Gad, M. A. (2019). a Comparison Between 1D , 2D and Semi 2D Hydraulic Models. Al -Azhar University Civil Engineering Research Magazine (CERM), 41(4), 295–305.

Harman, C., Stewardson, M., & DeRose, R. (2008). Variability and uncertainty in reach bankfull hydraulic geometry. Journal of Hydrology, 351(1–2), 13–25. https://doi.org/10.1016/j.jhydrol.2007.11.015.

Simbolon H. (2020). Banjir Menggenangi Sejumlah Rumah Warga di Jember. Retrieved from https://surabaya.liputan6.com.

National Land Agency. (2017). Petunjuk Teknis Pembuatan Peta Kerja dengan Menggunakan Pesawat Nirawak / Drone. Direktorat Jendral Infrastruktur Keagrariaan Tahun 2016 Kementerian Agraria Dan Tata Ruang / Badan Pertanahan Nasional, 02 /JUKNIS, 1–12.

Karamuz, E., Romanowicz, R. J., & Doroszkiewicz, J. (2020). The use of unmanned aerial vehicles in flood hazard assessment. Journal of Flood Risk Management, 13(4), 1–12. https://doi.org/10.1111/jfr3.12622.

Khaulan, D. W., Hidayah, E., & Halik, G. (2021). Accuracy of DSM By using Unmanned Aerial Vehicles on the downstream of Welang Riverbank, District of Pasuruan, Jawa Timur. UKaRsT, 5(1), 49. https://doi.org/10.30737/ukarst.v5i1.1153.

Khusniani, K. (2006). Catatan Kelam Bencana Alam di Indonesia. Retrieved from https://kompaspedia.kompas.id.
Mani, V., Panda, R. K., & Pandey, V. K. (2020). Calibration and validation of HEC-RAS model for minor command in coastal region. International Journal of Current Microbiology and Applied Sciences, 9(2), 664–678. https://doi.org/10.20546/ijcmas.2020.902.082.

Mourato, S., Fernandez, P., Pereira, L., & Moreira, M. (2017). Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling. IOP Conference Series: Earth and Environmental Science, 95(2). https://doi.org/10.1088/1755-1315/95/2/022014.

Ongdas, N., Akiyanova, F., Karakulov, Y., Muratbayeva, A., & Zinabdin, N. (2020). Application of HEC-RAS (2d) for flood hazard maps generation for yesil (ISHIM) river in kazakhstan. Water (Switzerland), 12(10), 1–20. https://doi.org/10.3390/w12102672.

Prayogo, I. P. H., Manoppo, F. J., & Lefrandt, L. I. R. (2020). Pemanfaatan Teknologi Unmanned Aerial Vehicle (UAV) Quadcopter Dalam Pemetaan Digital (Fotogrametri) Menggunakan Kerangka Ground Control Point (GCP). Jurnal Ilmiah Media Engineering, 10(1), 6.

Sanz-ablanedo, E., & Chandler, J. H. (2018). Accuracy of Unmanned Aerial Vehicle ( UAV ) and SfM Photogrammetry Survey as a Function of the Number and Location of Ground Control Points Used. Remote Sensing, 1–19. https://doi.org/10.3390/rs10101606.

Seno, S. (2011). Akses Jalan di Jember Terputus Banjir Bandang. Retrieved from https://www.antaranews.com.
Stöcker, C., Nex, F., Koeva, M., & Gerke, M. (2020). High-quality UAV-based orthophotos for cadastral mapping: Guidance for optimal flight configurations. Remote Sensing, 12(21), 1–23. https://doi.org/10.3390/rs12213625.

Taufik, M., Amiluddin, A., & Bioresita, F. (2020). Generated topographic data from UAV, for simple irrigation planning (Case study, sugar cane in Jember ). International Research Journal of Advanced Engineering and Science, 5(1), 245–248.

Traore, V. B., Bop, M., Faye, M., Giovani, M., Gueye, E. H. O., Sambou, H., Dione, A. N., Fall, S., Diaw, A. T., Sarr, J., & Chedikh Beye, A. (2015). Using of HEC-RAS model for hydraulic analysis of a river with agricultural vocation : A case study of the Kayanga River Basin , Senegal. Science and Education Publishing, 3(5), 147–154. https://doi.org/10.12691/ajwr-3-5-2.

Tsunetaka, H., Hotta, N., Hayakawa, Y. S., & Imaizumi, F. (2020). Spatial accuracy assessment of unmanned aerial vehicle-based structures from motion multi-view stereo photogrammetry for geomorphic observations in initiation zones of debris flows, Ohya landslide, Japan. Progress in Earth and Planetary Science, 7(1). https://doi.org/10.1186/s40645-020-00336-0.

Tunas, I. G., Arafat, Y., & Azikin, H. (2019). Integration of Digital Elevation Model (DEM) and HEC-RAS Hydrodynamic Model for flood routing. IOP Conference Series: Materials Science and Engineering, 620(1). https://doi.org/10.1088/1757-899X/620/1/012026.

USACE. (2018). Analyzing Flood Risk for Forecast Informed Reservoir Operations in the Russian River Watershed using HEC-WAT. Washington: U.S. Army Corps of Engineers.

Kim V., Tantanee S., & Suparta W. (2020). GIS-based flood hazard mapping using HEC-RAS model: a case study of lower mekong river, cambodia vanthan. Geographia technica, 15(1). 15(1), 16–26. https://doi.org/10.21163/GT.

Villanueva, J. K. S., & Blanco, A. C. (2019). Optimization of Ground Control Point (GCP) configuration for Unmanned Aerial Vehicle (UAV) Survey Using Structure From Motion (SFM). International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(4/W12), 167–174. https://doi.org/10.5194/isprs-archives-XLII-4-W12-167-2019.

Yalcin, E. (2019). Two-dimensional hydrodynamic modelling for urban flood risk assessment using unmanned aerial vehicle imagery: A case study of Kirsehir, Turkey. Journal of Flood Risk Management, 12(S1), 1–14. https://doi.org/10.1111/jfr3.12499.
Published
2022-12-24
How to Cite
DERKA, Icha; HIDAYAH, Entin; HALIK, Gusfan. Performance of UAV Image for Flood Mapping with 2 Dimensional Model in Kaliputih River, Panti District. Geosfera Indonesia, [S.l.], v. 7, n. 3, p. 264-276, dec. 2022. ISSN 2614-8528. Available at: <https://jurnal.unej.ac.id/index.php/GEOSI/article/view/30169>. Date accessed: 22 nov. 2024. doi: https://doi.org/10.19184/geosi.v7i3.30169.
Section
Original Research Articles