Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite data
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. M...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2023-10-01
|
| Series: | Miscellanea Geographica: Regional Studies on Development |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/mgrsd-2023-0018 |
| _version_ | 1797208413180002304 |
|---|---|
| author | Adamek Katarzyna Lupa Michał Leśniak Andrzej Ryznar Jakub Ochtyra Adrian Marcinkowska-Ochtyra Adriana Wyczałek-Jagiełło Michał |
| author_facet | Adamek Katarzyna Lupa Michał Leśniak Andrzej Ryznar Jakub Ochtyra Adrian Marcinkowska-Ochtyra Adriana Wyczałek-Jagiełło Michał |
| author_sort | Adamek Katarzyna |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T09:38:24Z |
| format | Article |
| id | doaj.art-1af09b1f370c4f48a9b5ebb880a11355 |
| institution | Directory Open Access Journal |
| issn | 2084-6118 |
| language | English |
| last_indexed | 2024-04-24T09:38:24Z |
| publishDate | 2023-10-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Miscellanea Geographica: Regional Studies on Development |
| spelling | doaj.art-1af09b1f370c4f48a9b5ebb880a113552024-04-15T07:43:29ZengSciendoMiscellanea Geographica: Regional Studies on Development2084-61182023-10-0127420221110.2478/mgrsd-2023-0018Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite dataAdamek Katarzyna0Lupa Michał1Leśniak Andrzej2Ryznar Jakub3Ochtyra Adrian4Marcinkowska-Ochtyra Adriana5Wyczałek-Jagiełło Michał6Department of Geoinformatics and Applied Computer Science Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, PolandDepartment of Geoinformatics and Applied Computer Science Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, PolandDepartment of Geoinformatics and Applied Computer Science Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, PolandDepartment of Environmental Analysis, Mapping and Economic Geology, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, PolandDepartment of Geoinformatics, Cartography and Remote Sensing Warsaw, Faculty of Geography and Regional Studies, University of Warsaw, Warsaw, PolandDepartment of Geoinformatics, Cartography and Remote Sensing Warsaw, Faculty of Geography and Regional Studies, University of Warsaw, Warsaw, PolandGeomatic Michał Wyczałek-Jagiełło, Poznan, PolandThis 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.https://doi.org/10.2478/mgrsd-2023-0018satellite imagerygeologyspectral analysis |
| spellingShingle | Adamek Katarzyna Lupa Michał Leśniak Andrzej Ryznar Jakub Ochtyra Adrian Marcinkowska-Ochtyra Adriana Wyczałek-Jagiełło Michał Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite data Miscellanea Geographica: Regional Studies on Development satellite imagery geology spectral analysis |
| title | Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite data |
| title_full | Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite data |
| title_fullStr | Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite data |
| title_full_unstemmed | Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite data |
| title_short | Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite data |
| title_sort | preliminary geological work based on remote sensing analysis using artificially enhanced satellite data |
| topic | satellite imagery geology spectral analysis |
| url | https://doi.org/10.2478/mgrsd-2023-0018 |
| work_keys_str_mv | AT adamekkatarzyna preliminarygeologicalworkbasedonremotesensinganalysisusingartificiallyenhancedsatellitedata AT lupamichał preliminarygeologicalworkbasedonremotesensinganalysisusingartificiallyenhancedsatellitedata AT lesniakandrzej preliminarygeologicalworkbasedonremotesensinganalysisusingartificiallyenhancedsatellitedata AT ryznarjakub preliminarygeologicalworkbasedonremotesensinganalysisusingartificiallyenhancedsatellitedata AT ochtyraadrian preliminarygeologicalworkbasedonremotesensinganalysisusingartificiallyenhancedsatellitedata AT marcinkowskaochtyraadriana preliminarygeologicalworkbasedonremotesensinganalysisusingartificiallyenhancedsatellitedata AT wyczałekjagiełłomichał preliminarygeologicalworkbasedonremotesensinganalysisusingartificiallyenhancedsatellitedata |