Accounting for uncertainty and reconstruction of flooding patterns based on multi-satellite imagery and support vector machine technique: A case study of Can Tho City, Vietnam

Accounting for uncertainty and reconstruction of flooding patterns based on multi-satellite imagery and support vector machine technique: A case study of Can Tho City, Vietnam

10.3390/W12061543

Saved in:
Bibliographic Details
Main Authors: Dhara, S., Dang, T., Parial, K., Lu, X.X.
Other Authors: GEOGRAPHY
Format: Article
Published: MDPI AG 2021
Subjects:
Can Tho City
Flood extent mapping
Google Earth engine
Remote sensing
Support vector machine regression (SVR)
Uncertainty
Online Access:https://scholarbank.nus.edu.sg/handle/10635/198665
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/198665

Similar Items