An assessment of remote sensing for the classification
of sedimentary rocks – a case study of Tauron Group Quarry, Poland
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An assessment of remote sensing for the classification
of sedimentary rocks – a case study of Tauron Group Quarry, Poland
Data publikacji: 08.02.2016
Czasopismo Techniczne, 2015, Środowisko Zeszyt 1-Ś (18) 2015, s. 137 - 146
https://doi.org/10.4467/2353737XCT.15.192.4397Autorzy
An assessment of remote sensing for the classification
of sedimentary rocks – a case study of Tauron Group Quarry, Poland
This paper presents the results of an analysis of sedimentary rocks in Tauron Group quarry. The main purpose of this study was to assess the possibilities of using remote sensing techniques for the categorisation of rock types. The application of remote sensing systems for the categorisation of rock types allows the evaluation of the volume and mineral composition of the material extracted from the quarry. Rock samples collected from the Tauron Group quarry were classified according to their mineral composition. Spectrometric analyses were also carried out in the spectral range of 350‒2500 nm wavelength. Spectral properties and mineral composition characteristics of the samples allow for the evaluation of the potential of using remotely-sensed data for rock classification. Optimal spectral bands for highest separability between individual rock types in the quarry were identified based on the study.
Informacje: Czasopismo Techniczne, 2015, Środowisko Zeszyt 1-Ś (18) 2015, s. 137 - 146
Typ artykułu: Oryginalny artykuł naukowy
Tytuły:
An assessment of remote sensing for the classification
of sedimentary rocks – a case study of Tauron Group Quarry, Poland
An assessment of remote sensing for the classification
of sedimentary rocks – a case study of Tauron Group Quarry, Poland
Cracow University of Technology, Faculty of Environmental Engineering, Institute of Geotechnics
Institute of Geotechnics, Department of Geodesy and Engineering Geology, Faculty of Environmental Engineering, Cracow University of Technology
Department of Geoinformatics and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw; College of Inter-Faculty Individual Studies in Mathematics and Natural Sciences
Publikacja: 08.02.2016
Status artykułu: Otwarte
Licencja: Żadna
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AngielskiLiczba wyświetleń: 1609
Liczba pobrań: 1749