Discrimination of Rock Units in Karst Terrains Using Sentinel-2A Imagery
We explored the potential incorporation of Sentinel-2A imagery for rock unit determination in the Croatian karst region dominated by carbonate rocks. The various lithological units are potential sources of both stone aggregates and dimension stone, and their spatial distribution is of high importanc...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/20/5169 |
| _version_ | 1797470094310244352 |
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| author | Nikola Gizdavec Mateo Gašparović Slobodan Miko Borna Lužar-Oberiter Nikolina Ilijanić Zoran Peh |
| author_facet | Nikola Gizdavec Mateo Gašparović Slobodan Miko Borna Lužar-Oberiter Nikolina Ilijanić Zoran Peh |
| author_sort | Nikola Gizdavec |
| collection | DOAJ |
| description | We explored the potential incorporation of Sentinel-2A imagery for rock unit determination in the Croatian karst region dominated by carbonate rocks. The various lithological units are potential sources of both stone aggregates and dimension stone, and their spatial distribution is of high importance for mineral resource management. The presented approach included the preprocessing and processing of existing analog data (geological maps), Sentinel-2A satellite images and the United States Geological Survey spectral indices, all in combination with ground truth data. Geological mapping and digital processing of legacy maps using the K-means and random forest algorithm reduced the spatial error of the geometry of geological boundaries from 100 m and 300 m to below 100 m. The possibility of discriminating individual lithological units based on spectral analysis and discriminant function analysis was also examined, providing a tool for evaluating the geological potential for mineral resources. Despite the challenges posed by the lithological homogeneity of karst terrain, the results of this study show that the use of spectral signature data derived from Sentinel-2A satellite images can be successfully implemented in such terrains for the enhancement of existing geological maps and mineral resources exploration. |
| first_indexed | 2024-03-09T19:31:52Z |
| format | Article |
| id | doaj.art-989f9785c4d44d5a943bc7327bbbbe71 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T19:31:52Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-989f9785c4d44d5a943bc7327bbbbe712023-11-24T02:20:29ZengMDPI AGRemote Sensing2072-42922022-10-011420516910.3390/rs14205169Discrimination of Rock Units in Karst Terrains Using Sentinel-2A ImageryNikola Gizdavec0Mateo Gašparović1Slobodan Miko2Borna Lužar-Oberiter3Nikolina Ilijanić4Zoran Peh5Croatian Geological Survey, Sachsova 2, 10000 Zagreb, CroatiaFaculty of Geodesy, University of Zagreb, Kačićeva 26, 10000 Zagreb, CroatiaCroatian Geological Survey, Sachsova 2, 10000 Zagreb, CroatiaFaculty of Science, University of Zagreb, Horvatovac 102a, 10000 Zagreb, CroatiaCroatian Geological Survey, Sachsova 2, 10000 Zagreb, CroatiaCroatian Geological Survey, Sachsova 2, 10000 Zagreb, CroatiaWe explored the potential incorporation of Sentinel-2A imagery for rock unit determination in the Croatian karst region dominated by carbonate rocks. The various lithological units are potential sources of both stone aggregates and dimension stone, and their spatial distribution is of high importance for mineral resource management. The presented approach included the preprocessing and processing of existing analog data (geological maps), Sentinel-2A satellite images and the United States Geological Survey spectral indices, all in combination with ground truth data. Geological mapping and digital processing of legacy maps using the K-means and random forest algorithm reduced the spatial error of the geometry of geological boundaries from 100 m and 300 m to below 100 m. The possibility of discriminating individual lithological units based on spectral analysis and discriminant function analysis was also examined, providing a tool for evaluating the geological potential for mineral resources. Despite the challenges posed by the lithological homogeneity of karst terrain, the results of this study show that the use of spectral signature data derived from Sentinel-2A satellite images can be successfully implemented in such terrains for the enhancement of existing geological maps and mineral resources exploration.https://www.mdpi.com/2072-4292/14/20/5169geological mappingSentinel-2AK-meansrandom forestdiscriminant function analysis |
| spellingShingle | Nikola Gizdavec Mateo Gašparović Slobodan Miko Borna Lužar-Oberiter Nikolina Ilijanić Zoran Peh Discrimination of Rock Units in Karst Terrains Using Sentinel-2A Imagery Remote Sensing geological mapping Sentinel-2A K-means random forest discriminant function analysis |
| title | Discrimination of Rock Units in Karst Terrains Using Sentinel-2A Imagery |
| title_full | Discrimination of Rock Units in Karst Terrains Using Sentinel-2A Imagery |
| title_fullStr | Discrimination of Rock Units in Karst Terrains Using Sentinel-2A Imagery |
| title_full_unstemmed | Discrimination of Rock Units in Karst Terrains Using Sentinel-2A Imagery |
| title_short | Discrimination of Rock Units in Karst Terrains Using Sentinel-2A Imagery |
| title_sort | discrimination of rock units in karst terrains using sentinel 2a imagery |
| topic | geological mapping Sentinel-2A K-means random forest discriminant function analysis |
| url | https://www.mdpi.com/2072-4292/14/20/5169 |
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