Articles | Volume 25, issue 7
https://doi.org/10.5194/nhess-25-2455-2025
https://doi.org/10.5194/nhess-25-2455-2025
Research article
 | 
22 Jul 2025
Research article |  | 22 Jul 2025

Automated rapid estimation of flood depth using a digital elevation model and Earth Observation Satellite (EOS-04)-derived flood inundation

Lakshmi Amani Chimata, Suresh Babu Anuvala Setty Venkata, Shashi Vardhan Reddy Patlolla, Durga Rao Korada Hari Venkata, Sreenivas Kandrika, and Prakash Chauhan

Viewed

Total article views: 673 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
339 109 225 673 15 26
  • HTML: 339
  • PDF: 109
  • XML: 225
  • Total: 673
  • BibTeX: 15
  • EndNote: 26
Views and downloads (calculated since 25 Oct 2024)
Cumulative views and downloads (calculated since 25 Oct 2024)

Viewed (geographical distribution)

Total article views: 673 (including HTML, PDF, and XML) Thereof 673 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Jul 2025
Download
Short summary
Fast flood assessments are important for providing effective help during emergencies and planning for future floods. This study presents a new automated way to quickly measure flood depth. Using satellite images and digital elevation models, this method makes it easier to get real-time flood information. We applied this new method to several flood-prone areas in India and found that it provides more accurate results than existing flood measurement tools.
Share
Altmetrics
Final-revised paper
Preprint