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Mar 7, 2022

Exploring the Capabilities of Optical Satellite Imagery in Evaluating Pavement Condition

Publication: Construction Research Congress 2022

ABSTRACT

This study explores the use of satellite imagery as a rapid and cost-effective alternative to evaluate road surface condition. Spectral and texture information derived from 30-cm panchromatic and 1.2-m spaceborne optical imagery were used to assess the capabilities of satellite images in describing pavement distresses. The spectral analysis of the multispectral images indicates that pavements become brighter across all the bands as the roads become rougher. The pixel brightness values decreased when pavements were classified based on deteriorating rutting condition. While this may be useful in characterizing individual distresses, this opposing behavior of the pixel brightness values limits the capabilities of spectral indices approach in analyzing overall pavement condition when multiple distresses are present in the same location. All the texture metrics were found to follow a logical relation with pavement conditions, indicating strong evidence that satellite data have the potential to be an alternative method to evaluate pavement condition.

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REFERENCES

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Go to Construction Research Congress 2022
Construction Research Congress 2022
Pages: 108 - 115

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Published online: Mar 7, 2022

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Authors

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Mohammad Z. Bashar, S.M.ASCE [email protected]
1Doctoral Research Assistant, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder. Email: [email protected]
Cristina Torres-Machi, Ph.D., M.ASCE [email protected]
2Assistant Professor, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder. Email: [email protected]

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  • Estimating the Impact of COVID-19 on Travel Demand in the Houston Area Using Deep Learning and Satellite Imagery, International Conference on Transportation and Development 2023, 10.1061/9780784484876.038, (437-444), (2023).

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