Improving Sentinel-1 Flood Maps Using a Topographic Index as Prior in Bayesian Inference

Improving Sentinel-1 Flood Maps Using a Topographic Index as Prior in Bayesian Inference

Sentinel-1-based flood mapping works well but with well-known issues over rugged terrain. Applying exclusion masks to improve the results is common practice in unsupervised and global applications. One such mask is the height above the nearest drainage (HAND), which uses terrain information to reduc...

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Bibliographic Details
Main Authors: Mark Edwin Tupas, Florian Roth, Bernhard Bauer-Marschallinger, Wolfgang Wagner
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Water
Subjects:
synthetic aperture radar
Sentinel-1
flood mapping
Bayesian inference
hand above nearest drainage
Online Access:https://www.mdpi.com/2073-4441/15/23/4034

Internet

https://www.mdpi.com/2073-4441/15/23/4034

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