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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Главные авторы:	Rakesh Salunke, Masoud Nobahar, Omer Emad Alzeghoul, Sadik Khan, Ian La Cour, Farshad Amini
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2023-03-01
Серии:	Remote Sensing
Предметы:	soil moisture content highway embankment UAV Thermal Infrared (TIR) machine learning XGBoost
Online-ссылка:	https://www.mdpi.com/2072-4292/15/7/1888
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