<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

<bold>Preliminary geological work</bold>, based on remote sensing analysis, using artificially enhanced satellite data

Department of Geoinformatics and Applied Computer Science Faculty of Geology, Geophysics and Environmental Protection

Department of Environmental Analysis, Mapping and Economic Geology, Faculty of Geology, Geophysics and Environmental Protection

Department of Geoinformatics, Cartography and Remote Sensing Warsaw, Faculty of Geography and Regional Studies

Miscellanea Geographica

This work is licensed under the Creative Commons Attribution 4.0 International License.

, 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...

ID	Host rock	Mineral composition	Number of measurements (dry sample)
1	Altered granite	Quartz, feldspars, kaolinite, muscovite	2
2	Weathered granite	Feldspars, muscovite, biotite	5
3	Muscovite schist with tourmaline	Muscovite, tourmaline, clay minerals	6
4	Pegmatite	Kaolinite, quartz, muscovite	3
5	Pegmatite	Quartz, kaolinite, muscovite	2
6	Muscovite	Muscovite	2
7	Pegmatite	Mainly kaolinite + muscovite	2
8	Pegmatite	Kaolinite, quartz + very fine muscovite	3
9	Pegmatite	Kaolinite, quartz, muscovite	4
10	Greisen	Quartz, muscovite	2
11	Pegmatite	Kaolinite, quartz, muscovite	3
12	Tourmaline	Tourmaline + muscovite	4
13	Pegmatite	Kaolinite, muscovite, quartz	3
14	Tourmaline	Tourmaline	2
15	Quartz with tourmaline	Quartz, tourmaline	3
16	Pegmatite	Kaolinite, quartz, muscovite	4

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

Pubblicato online: 31 ott 2023

Pagine: 202 - 211

Ricevuto: 26 lug 2023

Accettato: 02 ott 2023

DOI: https://doi.org/10.2478/mgrsd-2023-0018

Parole chiave
Satellite imagery, geology, spectral analysis

© 2023 Katarzyna Adamek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

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Figure 8.

Figure 9.

List of samples. Source: own elaboration

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

Pubblicato online: 31 ott 2023

Pagine: 202 - 211

Ricevuto: 26 lug 2023

Accettato: 02 ott 2023

DOI: https://doi.org/10.2478/mgrsd-2023-0018

Parole chiaveSatellite imagery, geology, spectral analysis

© 2023 Katarzyna Adamek et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

List of samples. Source: own elaboration

Parole chiave
Satellite imagery, geology, spectral analysis