Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite data

Adamek Katarzyna (), Lupa Michał (), Leśniak Andrzej (), Ryznar Jakub (), Ochtyra Adrian (), Marcinkowska-Ochtyra Adriana () and Wyczałek-Jagiełło Michał ()
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Adamek Katarzyna: Department of Geoinformatics and Applied Computer Science Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, Poland
Lupa Michał: Department of Geoinformatics and Applied Computer Science Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, Poland
Leśniak Andrzej: Department of Geoinformatics and Applied Computer Science Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, Poland
Ryznar Jakub: Department of Environmental Analysis, Mapping and Economic Geology, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, Poland
Ochtyra Adrian: Department of Geoinformatics, Cartography and Remote Sensing Warsaw, Faculty of Geography and Regional Studies, University of Warsaw, Warsaw, Poland
Marcinkowska-Ochtyra Adriana: Department of Geoinformatics, Cartography and Remote Sensing Warsaw, Faculty of Geography and Regional Studies, University of Warsaw, Warsaw, Poland
Wyczałek-Jagiełło Michał: Geomatic Michał Wyczałek-Jagiełło, Poznan, Poland

Miscellanea Geographica. Regional Studies on Development, 2023, vol. 27, issue 4, 202-211

Abstract: This study aims to identify areas that present similar spectral characteristics to collected rock samples through the use of satellite imagery and spectral analysis. The results indicate that pixels marked in the satellite images exhibit similarities to the spectral characteristics of the samples. Misclassified objects or areas may be included in the results due to mixed pixels and spatial resolution limitations. The similarities identified could result from the region’s mineral composition of building materials, bare land, or dry vegetation. The averaged spectral curve patterns of the samples show similarity overall, but they are not identical, as reflected by the tenth quantile of the similarity coefficient. This research provides a valuable support tool for preliminary geological assessment, and information relating to vast and challenging-to-access parts of prospective areas for further investigation.

Keywords: Satellite imagery; geology; spectral analysis (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:mgrsod:v:27:y:2023:i:4:p:202-211:n:3

DOI: 10.2478/mgrsd-2023-0018

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