Prediction of Unpaved Road Conditions Using High-Resolution Optical Satellite Imagery and Machine Learning

Prediction of Unpaved Road Conditions Using High-Resolution Optical Satellite Imagery and Machine Learning

Rural roads play a crucial role in fostering economic and social development in Africa. Local Road Authorities (LRAs) struggle to collect road condition data using conventional means due to logistical and resource issues. Poor road conditions and restricted mobility have severe economic consequences...

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Bibliographic Details
Main Authors: Robin Workman, Patrick Wong, Alex Wright, Zhao Wang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
earth observation
satellite
unpaved road
pixel variation
machine learning
Africa
Online Access:https://www.mdpi.com/2072-4292/15/16/3985

Internet

https://www.mdpi.com/2072-4292/15/16/3985

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