Overcoming data scarcity in flood hazard assessment using remote sensing and artificial neural network
10.1186/s40713-018-0014-5
Saved in:
Main Authors: | KIM DONG EON, Gourbesville, Philippe, LIONG SHIE-YUI |
---|---|
Other Authors: | TROPICAL MARINE SCIENCE INSTITUTE |
Format: | Article |
Published: |
Springer Nature
2019
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/157383 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Satellite dem improvement using multispectral imagery and an artificial neural network
by: Kim, Dong Eon, et al.
Published: (2022) -
Simple-Yet-Effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: Application to flood modeling
by: Kim, D.E., et al.
Published: (2021) -
Performance Evaluation of CORDEX South Asia Models for Projections of Precipitation over the Kabul Basin, Afghanistan
by: Masoud Ghulami, et al.
Published: (2023) -
Managing floods and scarcity in a monsoon climate
by: Louis L., et al.
Published: (2017) -
Managing floods and scarcity in a monsoon climate
by: Lebel Louis, et al.
Published: (2018)