A Comparison of Machine Learning Approaches to Improve Free Topography Data for Flood Modelling
Given the high financial and institutional cost of collecting and processing accurate topography data, many large-scale flood hazard assessments continue to rely instead on freely-available global Digital Elevation Models, despite the significant vertical biases known to affect them. To predict (and...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/2/275 |