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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:
Open Access
|Feb 2020

Figures & Tables

Figure 1:

Location of study catchment and example of soil moisture transect.
Location of study catchment and example of soil moisture transect.

Figure 2:

Theta Probe used for soil moisture measurements along the transect.
Theta Probe used for soil moisture measurements along the transect.

Figure 3:

SAGA wetness index (SWI) results over the Jesmond study catchment.
SAGA wetness index (SWI) results over the Jesmond study catchment.

Figure 4:

SAGA wetness index (SWI) and soil moisture probe data. The three transects are presented together to show the difference in wetness between the sampling dates.
SAGA wetness index (SWI) and soil moisture probe data. The three transects are presented together to show the difference in wetness between the sampling dates.
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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