Monitoring biological degradation of historical stone using hyperspectral imaging
ABSTRACTStone is one of the most common materials used as a building material in central Europe for centuries. Historical objects are endangered by degradation procedures coming from physical, chemical and biological weathering agents.The weathering process itself should be analysed in detail in ord...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-06-01
|
| Series: | European Journal of Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/22797254.2023.2220565 |
| _version_ | 1797804302391050240 |
|---|---|
| author | Eva Matoušková Kateřina Kovářová Michal Cihla Jindřich Hodač |
| author_facet | Eva Matoušková Kateřina Kovářová Michal Cihla Jindřich Hodač |
| author_sort | Eva Matoušková |
| collection | DOAJ |
| description | ABSTRACTStone is one of the most common materials used as a building material in central Europe for centuries. Historical objects are endangered by degradation procedures coming from physical, chemical and biological weathering agents.The weathering process itself should be analysed in detail in order to prevent historical objects by application of proper restoration cleaning techniques. Within our research, a historical sandstone block was analysed during time to monitor biological changes on the surface. The object of interest is situated in the immediate vicinity of Charles Bridge in Prague, which is protected as a UNESCO heritage site. This site was chosen due to high overall humidity all year long. For investigation of the year- round process of biodegradation hyperspectral sensor was used. In the first place, data were processed using four vegetation indices (NDVI, RGRI, CRI1 and VREI1). All vegetation indices indicate that vegetation is thriving and subject to normal seasonal change. The second chosen method of data processing is to use spectral reflectance curves and their subsequence processing by Spectral Angle Mapper (SAM) classification algorithms. A decline in vegetation with the onset of autumn and during the winter months was detected. |
| first_indexed | 2024-03-13T05:35:07Z |
| format | Article |
| id | doaj.art-ffd0f6fd4ba5453496a9a6f3e70b9b38 |
| institution | Directory Open Access Journal |
| issn | 2279-7254 |
| language | English |
| last_indexed | 2024-03-13T05:35:07Z |
| publishDate | 2023-06-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | European Journal of Remote Sensing |
| spelling | doaj.art-ffd0f6fd4ba5453496a9a6f3e70b9b382023-06-14T12:30:00ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542023-06-0110.1080/22797254.2023.2220565Monitoring biological degradation of historical stone using hyperspectral imagingEva Matoušková0Kateřina Kovářová1Michal Cihla2Jindřich Hodač3Department of Geomatics, Faculty of Civil Engineering, Czech Technical University in Prague, Prague, Czech RepublicDepartment of Geomatics, Faculty of Civil Engineering, Czech Technical University in Prague, Prague, Czech RepublicInstitute of Theoretical and Applied Mechanics, Czech Academy of Science, Prague, Czech RepublicDepartment of Geomatics, Faculty of Civil Engineering, Czech Technical University in Prague, Prague, Czech RepublicABSTRACTStone is one of the most common materials used as a building material in central Europe for centuries. Historical objects are endangered by degradation procedures coming from physical, chemical and biological weathering agents.The weathering process itself should be analysed in detail in order to prevent historical objects by application of proper restoration cleaning techniques. Within our research, a historical sandstone block was analysed during time to monitor biological changes on the surface. The object of interest is situated in the immediate vicinity of Charles Bridge in Prague, which is protected as a UNESCO heritage site. This site was chosen due to high overall humidity all year long. For investigation of the year- round process of biodegradation hyperspectral sensor was used. In the first place, data were processed using four vegetation indices (NDVI, RGRI, CRI1 and VREI1). All vegetation indices indicate that vegetation is thriving and subject to normal seasonal change. The second chosen method of data processing is to use spectral reflectance curves and their subsequence processing by Spectral Angle Mapper (SAM) classification algorithms. A decline in vegetation with the onset of autumn and during the winter months was detected.https://www.tandfonline.com/doi/10.1080/22797254.2023.2220565Hyperspectral imagingbiological degradationsandstonecultural heritageweatheringPrague |
| spellingShingle | Eva Matoušková Kateřina Kovářová Michal Cihla Jindřich Hodač Monitoring biological degradation of historical stone using hyperspectral imaging European Journal of Remote Sensing Hyperspectral imaging biological degradation sandstone cultural heritage weathering Prague |
| title | Monitoring biological degradation of historical stone using hyperspectral imaging |
| title_full | Monitoring biological degradation of historical stone using hyperspectral imaging |
| title_fullStr | Monitoring biological degradation of historical stone using hyperspectral imaging |
| title_full_unstemmed | Monitoring biological degradation of historical stone using hyperspectral imaging |
| title_short | Monitoring biological degradation of historical stone using hyperspectral imaging |
| title_sort | monitoring biological degradation of historical stone using hyperspectral imaging |
| topic | Hyperspectral imaging biological degradation sandstone cultural heritage weathering Prague |
| url | https://www.tandfonline.com/doi/10.1080/22797254.2023.2220565 |
| work_keys_str_mv | AT evamatouskova monitoringbiologicaldegradationofhistoricalstoneusinghyperspectralimaging AT katerinakovarova monitoringbiologicaldegradationofhistoricalstoneusinghyperspectralimaging AT michalcihla monitoringbiologicaldegradationofhistoricalstoneusinghyperspectralimaging AT jindrichhodac monitoringbiologicaldegradationofhistoricalstoneusinghyperspectralimaging |