Evaluating the satellite-derived DEM accuracy with rain-on-grid modeling for flood hydrograph prediction of Katulampa Watershed, Indonesia
Author:
Affiliation:
1. Department of Civil Engineering, Faculty of Engineering, Parahyangan Catholic University, West Java, Indonesia
2. College of Hydrology and Water Resources, Hohai University, Nanjing, People’s Republic of China
Funder
Lembaga Penelitian dan Pengabdian Kepada Masyarakat
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/15715124.2024.2312857
Reference37 articles.
1. Determining the best remotely sensed DEM for flood inundation mapping in data sparse regions
2. Badan Informasi Geospasial 2018. DEMNAS: Seamless Digital Elevation Model (DEM) and Batimetri Nasional [online]. Available from: https://tanahair.indonesia.go.id/demnas/#/ [Accessed: February 2023]. Geospasial Badan Informasi
3. Badan Nasional Penanggulangan Bencana, 2018. Data bencana Indonesia 2017. Jakarta: Pusat Data, Informasi dan Humas. ISBN: 978-602-5693-04-5.
4. Epistemic uncertainties and natural hazard risk assessment – Part 1: A review of different natural hazard areas
5. Reducing uncertainties in flood inundation outputs of a two-dimensional hydrodynamic model by constraining roughness;Bhola P.K.;Natural Hazards and Earth System Sciences,2019
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