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Risk provision using field spectroscopy to identify spectral regions for the detection of defects in flexible pavements

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Abstract

Natural and physical hazards accelerate the deterioration of asphalted surfaces. Climatic factors are unavoidable and can affect the properties of asphalt mixtures, making them weaker and less durable. Thus, continuous monitoring of bituminous surfaces is something that can reduce the risks of public health. Remote sensing techniques have become an effective, noninvasive method for early detection of damaged asphalt pavements. This paper outlines a range of different remote sensing methodologies that can be used to monitor asphalt road pavements. This is complemented by the use of field spectroscopy for the examination of asphalt pavements of varying age and conditions. The results of the study found spectral differences regarding asphalt defects, such as physical cracking, patched cracking and polishing. These spectral changes were examined through “in-band” simulation analysis of the Landsat 7 ETM+ sensor, using appropriate relative spectral response filters, concluding that the ratio band 5/band 1 can be used to distinguish asphalt pavements of different date of construction and condition.

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References

  • Agapiou A, Alexakis DD, Themistocleous K, Hadjimitsis DG (2014) Water leakage detection using remote sensing, field spectroscopy and GIS in semiarid areas of Cyprus. Urban Water J 13(3):1–11

  • Alexakis D, Hadjimitsis DG, Agapiou A, Themistocleous K, Retalis A (2012) Monitoring urban land cover using satellite remote sensing techniques and field spectroradiometric measurements: case study of ‘Yialias’ catchment area in Cyprus. J Appl Remote Sens 6:063603–1–063603–14

    Article  Google Scholar 

  • Ben-Dor E, Levin N, Saaroni H (2001) A spectral based recognition of the urban environment using the visible and near-infrared spectral region (0.4–1.1 µm). A case study over Tel-Aviv Israel. Int J Remote Sens 22:2193–2218

    Google Scholar 

  • Chen M, Xu G, Wu S, Zheng S (2010) High-temperature hazards and prevention measurements for asphalt pavement. Int Conf IEEE (MACE) 2010:1341–1344

    Google Scholar 

  • Dumoulin J, Ibos L, Marchetti M, Mazioud A (2011) Detection of non emergent defects in asphalt pavement samples by long pulse and pulse phase infrared thermography. Eur J Environ Civ Eng 15:557–574

    Article  Google Scholar 

  • Herold M, Roberts D (2005) Spectral characteristics of asphalt road aging and deterioration: implications for remote-sensing applications. Appl Opt 44(20):4327–4334

    Article  Google Scholar 

  • Herold M, Roberts D, Gardner M, Dennison P (2004a) Spectrometry for urban area remote sensing—development and analysis of a spectral library from 350 to 2400 nm. Remote Sens Environ 91:304–319

    Article  Google Scholar 

  • Herold M, Roberts D, Smadi O, Noronha V (2004b) Road condition mapping with hyperspectral remote sensing. AVIRIS 2004:1–15

    Google Scholar 

  • Herold M, Roberts D, Noronha V, Smadi O (2008) Imaging spectrometry and asphalt road surveys. Transp Res C Emerg Technol 16(2):153–166

    Article  Google Scholar 

  • Manzo C, Mei A, Salvatori R, Bassani C, Allegrini A (2014) Spectral modelling used to identify the aggregates index of asphalted surfaces and sensitivity analysis. Constr Build Mater 61:147–155

    Article  Google Scholar 

  • Marchetti M, Ludwig S, Dumoulin J, Ibos L, Mazioud A (2008) Active infrared thermography for non-destructive control for detection of defects in asphalt pavements. In: 9th international conference on quantitative infrared thermography (QIRT), Krakow, pp 3–12

  • Mei A, Fiore N, Salvatori R, D’Andrea A, Fontana M (2012) Spectroradiometric laboratory measures on asphalt concrete: preliminary results. Procedia Soc Behav Sci 53:514–523

    Article  Google Scholar 

  • Mei A, Manzo C, Bassani C, Salvatori R, Allegrini A (2014a) Bitumen removal determination on asphalt pavement using digital imaging processing and spectral analysis. Open J Appl Sci 04(06):366–374

    Article  Google Scholar 

  • Mei A, Salvatori R, Fiore N, Allegrini A, D’Andrea A (2014b) Integration of field and laboratory spectral data with multi-resolution remote sensed imagery for asphalt surface differentiation. Remote Sens 6(4):2765–2781

    Article  Google Scholar 

  • Mettas C, Themistocleous K, Neocleous K, Christofe A, Pilakoutas K, Hadjimitsis D, Engineering S (2015) Monitoring asphalt pavement damages using remote sensing techniques. In: Proceedings SPIE 9535, third international conference on remote sensing and geoinformation of the environment (RSCy2015)

  • Mohammadi M (2012) Road classification and condition determination using hyperpsectral imagery. In: International archives of the photogrammetry, remote sensing and spatial information sciences, vol XXXIX-B7, XXII ISPRS Congress, Melbourne, Australia, pp 141–146

  • Noronha V, Herold M, Roberts D, Gardner M (2002) Spectrometry and hyperspectral remote sensing for road centerline extraction and evaluation of pavement condition. In: National consortium on remote sensing in transportation—infrastructure management, California, p 12

  • Papadavid G, Fasoula D, Hadjimitsis M, Perdikou PS, Hadjimitsis DG (2013) Image based remote sensing method for modeling black-eyed beans (Vigna unguiculata) Leaf Area Index (LAI) and crop height (CH) over Cyprus. Cent Eur J Geosci 5(1):1–11

    Google Scholar 

  • Papoutsa C, Akylas E, Hadjimitsis D (2013) The spectral signature analysis of inland and coastal water bodies acquired from field spectroradiometric measurements. In: Proceedings of SPIE 8795, First international conference on remote sensing and geoinformation of the environment, Vol 8795. Paphos, Cyprus, p 87950Q1–87950Q8

  • Papoutsa C, Retalis A, Toulios L, Hadjimitsis DG (2014) Defining the Landsat TM/ETM+ and CHRIS/PROBA spectral regions in which turbidity can be retrieved in inland water bodies using field spectroscopy. Int J Remote Sens 35(5):1674–1692

    Article  Google Scholar 

  • Pascucci S, Bassani C, Palombo A, Poscolieri M, Cavalli R (2008) Road asphalt pavements analyzed by airborne thermal remote sensing: preliminary results of the Venice highway. Sensors 8(2):1278–1296

    Article  Google Scholar 

  • Puttonen E, Suomalainen J, Hakala T, Peltoniemi J (2009) Measurement of reflectance properties of asphalt surfaces and their usability as reference targets for aerial photos. IEEE Trans Geosci Remote Sens 47(7):2330–2339

    Article  Google Scholar 

  • Radopoulou SC, Brilakis I (2015) Patch detection for pavement assessment. Autom Constr 53:95–104

    Article  Google Scholar 

  • Ridd MK (1995) Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities. Int J Remote Sens 16(October):2165–2185

    Article  Google Scholar 

  • Salvaggio C, Smith LE, Antoine EJ (2005) Spectral signature databases and their application/misapplication to modeling and exploitation of multispectral/hyperspectral data. In: Proceedings of SPIE, pp 531–541

  • Schueler TR (1994) The importance of imperviousness. Watershed Prot Tech 1:100–111

    Google Scholar 

  • Sivilevičius H, Petkevičius K (2002) Regularities of defect development in the asphalt concrete road pavements. J Civ Eng Manag 8(3):206–213

    Article  Google Scholar 

  • Themistocleous K, Hadjimitsis DG, Retalis A, Chrysoulakis N (2012) The identification of pseudo-invariant targets using ground field spectroscopy measurements intended for the removal of atmospheric effects from satellite imagery: a case study of the Limassol area in Cyprus. Int J Remote Sens 33(22):7240–7256

    Article  Google Scholar 

  • USGS (2014) Using the USGS spectral viewer. http://landsat.usgs.gov

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Acknowledgments

Acknowledgments are given to the Remote Sensing and Geo-environment Research Laboratory (http://www.cyprusremotesensing.com/) of the Cyprus University of Technology for its support during this study.

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Authors and Affiliations

  1. Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, 2-6 Saripolou Street, 3603, Limassol, Cyprus

    Christodoulos Mettas, Athos Agapiou, Kyriacos Themistocleous, Kyriacos Neocleous, Diofantos Hadjimitsis & Silas Michaelides

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  1. Christodoulos Mettas
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  2. Athos Agapiou
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  3. Kyriacos Themistocleous
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  4. Kyriacos Neocleous
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  5. Diofantos Hadjimitsis
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  6. Silas Michaelides
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Correspondence to Christodoulos Mettas.

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Mettas, C., Agapiou, A., Themistocleous, K. et al. Risk provision using field spectroscopy to identify spectral regions for the detection of defects in flexible pavements. Nat Hazards 83 (Suppl 1), 83–96 (2016). https://doi.org/10.1007/s11069-016-2262-8

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  • DOI: https://doi.org/10.1007/s11069-016-2262-8

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