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LiDAR derived terrain wetness indices to infer soil moisture above underground pipelines Cover

LiDAR derived terrain wetness indices to infer soil moisture above underground pipelines

International Journal on Smart Sensing and Intelligent Systems
Volume 13 (2020): Issue 1 (January 2020)
By: David Bretreger,  In-Young Yeo and  Robert Melchers  
Open Access
|Feb 2020

Authors

David Bretreger

David.Bretreger@newcastle.edu.au

The University of Newcastle, Callaghan, Australia

In-Young Yeo

In-Young.Yeo@newcastle.edu.au

The University of Newcastle, Callaghan, Australia

Robert Melchers

Rob.Melchers@newcastle.edu.au

The University of Newcastle, Callaghan, Australia
DOI: https://doi.org/10.21307/ijssis-2020-005 | Journal eISSN: 1178-5608
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Language: English
Page range: 1 - 7
Submitted on: Dec 20, 2019
|
Published on: Feb 15, 2020
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Pipe corrosion,
Pipe breaks,
Topographic wetness index,
SAGA wetness index,
Infrastructure assessment
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2020 David Bretreger, In-Young Yeo, Robert Melchers, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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