Near-Surface Soil Moisture Characterization in Mississippi’s Highway Slopes Using Machine Learning Methods and UAV-Captured Infrared and Optical Images

Near-Surface Soil Moisture Characterization in Mississippi’s Highway Slopes Using Machine Learning Methods and UAV-Captured Infrared and Optical Images

Near-surface soil moisture content variation is a major factor in the frequent shallow slope failures observed on Mississippi’s highway slopes built on expansive clay. Soil moisture content variation is monitored generally through borehole sensors in highway embankments and slopes. This point monito...

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Bibliographic Details
Main Authors: Rakesh Salunke, Masoud Nobahar, Omer Emad Alzeghoul, Sadik Khan, Ian La Cour, Farshad Amini
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
soil moisture content
highway embankment
UAV
Thermal Infrared (TIR)
machine learning
XGBoost
Online Access:https://www.mdpi.com/2072-4292/15/7/1888

Internet

https://www.mdpi.com/2072-4292/15/7/1888

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