Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/22438
Title: The Use of Colorimeters to Support Remote Sensing Techniques on Asphalt Pavements
Authors: Mettas, Christodoulos 
Evagorou, Evagoras S. 
Agapiou, Athos 
Hadjimitsis, Diofantos G. 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Colorimeter;Spectroradiometer;Asphalt pavements;Remote sensing;WorldView 3;Color to spectral;Spectral to color
Issue Date: 1-Dec-2020
Source: Remote Sensing, 2020, vol. 12, no. 23, articl. no. 3911
Volume: 12
Issue: 23
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Journal: Remote Sensing 
Abstract: Characterization of asphalt pavements, based on ground spectroradiometers, has been studied in the past to determine their spectral response concerning the physical, chemical, and condition properties of the pavement. This paper suggests an alternative technique for characterizing ageing of asphalt pavements using a colorimeter. Colorimeters are considered as affordable equipment in laboratories in contrast to other scientific instruments and turn remote sensing ground techniques more accessible to industry. Therefore, the study proposes a new methodology indicating how colorimeters can be used in combination with satellite data for the age characterization of asphalt pavements. Spectroradiometer data are compared in a two-way methodology to colorimeter data. The final steps of the methodology used in the study show very similar results for both equipment after a comparison of separability indices (Euclidean and Mahalanobis distances). It is a fact that colorimeter data can be used as ground truth data. The application was performed using an in-band analysis of WorldView 3 (WV3) spectral bands situated in the visible electromagnetic spectrum. Based on the findings of this study, we proposed the Normalized Difference Equation/filter for asphalt Pavement Age characterization Index (NDPAI).
URI: https://ktisis.cut.ac.cy/handle/10488/22438
ISSN: 2072-4292
DOI: 10.3390/rs12233911
Rights: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

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