Support vector regression for high-resolution beach surface moisture estimation from terrestrial LiDAR intensity data

Support vector regression for high-resolution beach surface moisture estimation from terrestrial LiDAR intensity data

Beach Surface Moisture (BSM) is a key attribute in the coastal investigations of land-atmospheric water and energy fluxes, groundwater resource budgets and coastal beach/dune development. In this study, an attempt has been made for the first time to estimate BSM from terrestrial LiDAR intensity data...

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Bibliographic Details
Main Authors: Junling Jin, Jeffrey Verbeurgt, Lars De Sloover, Cornelis Stal, Greet Deruyter, Anne-Lise Montreuil, Sander Vos, Philippe De Maeyer, Alain De Wulf
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Support vector machine regression
Machine learning
Terrestrial LiDAR
Surface moisture
Coastal monitoring
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243421001653

Internet

http://www.sciencedirect.com/science/article/pii/S0303243421001653

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