Abstract

Abstract. Scientific and professional interests of civil engineering mainly include structures, hydraulics, geotechnical engineering, environment, and transportation issues. Topics included in the context of the above may concern urban environment issues, urban planning, hydrological modelling, study of hazards and road construction. Land cover information contributes significantly on the study of the above subjects. Land cover information can be acquired effectively by visual image interpretation of satellite imagery or after applying enhancement routines and also by imagery classification. The Landsat Data Continuity Mission (LDCM – Landsat 8) is the latest satellite in Landsat series, launched in February 2013. Landsat 8 medium spatial resolution multispectral imagery presents particular interest in extracting land cover, because of the fine spectral resolution, the radiometric quantization of 12bits, the capability of merging the high resolution panchromatic band of 15 meters with multispectral imagery of 30 meters as well as the policy of free data. In this paper, Landsat 8 multispectral and panchromatic imageries are being used, concerning surroundings of a lake in north-western Greece. Land cover information is extracted, using suitable digital image processing software. The rich spectral context of the multispectral image is combined with the high spatial resolution of the panchromatic image, applying image fusion – pansharpening, facilitating in this way visual image interpretation to delineate land cover. Further processing concerns supervised image classification. The classification of pansharpened image preceded multispectral image classification. Corresponding comparative considerations are also presented.

Highlights

  • The Department of Civil Engineering in the Aristotle University of Thessaloniki includes four divisions that correspond to the scientific and professional interests of a civil engineer

  • Issues included in the context of the above divisions may concern urban environment issues, urban planning, regional planning, hydrological modelling, study of hazards, transportation planning and road construction

  • The rich spectral context of the multispectral image is combined with the high spatial resolution of the panchromatic image, applying image fusion – pansharpening and Ehlers fusion

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Summary

INTRODUCTION

The Department of Civil Engineering in the Aristotle University of Thessaloniki includes four divisions that correspond to the scientific and professional interests of a civil engineer. These divisions are: Structural Engineering, Hydraulics and Environmental Engineering, Geotechnical Engineering, Transport Infrastructure Management and Regional Planning. We can effectively acquire land cover information by remote sensing and by visual image interpretation of satellite imagery or after applying enhancement routines and by imagery classification. Landsat 8 medium spatial resolution multispectral imagery presents particular interest in extracting land cover, because of the fine spectral resolution, the radiometric quantization of 12bits, the capability of merging the high resolution panchromatic band of 15 meters with multispectral imagery of 30 meters as well as the policy of free data.

Study area
Satellite data
DIGITAL IMAGE PROCESSING
Supervised image classification
DISCUSSION – CONCLUSIONS
Full Text
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