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Improved Application of Hyperspectral Analysis to Rock Art Panels from El Castillo Cave (Spain)
- Source :
- Applied Sciences, Vol 11, Iss 1292, p 1292 (2021), Applied Sciences, Volume 11, Issue 3
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Rock art is one of the most fragile and relevant cultural phenomena in world history, carried out in shelters or the walls and ceilings of caves with mineral and organic substances. The fact it has been preserved until now can be considered as fortunate since both anthropogenic and natural factors can cause its disappearance or deterioration. This is the reason why rock art needs special conservation and protection measures. The emergence of digital technologies has made a wide range of tools and programs available to the community for a more comprehensive documentation of rock art in both 2D and 3D. This paper shows a workflow that makes use of visible and near-infrared hyperspectral technology to manage, monitor and preserve this appreciated cultural heritage. Hyperspectral imaging is proven to be an efficient tool for the recognition of figures, coloring matter, and state of conservation of such valuable art.
- Subjects :
- Engineering
hyperspectral imaging
Geomatics
0211 other engineering and technologies
02 engineering and technology
01 natural sciences
lcsh:Technology
Natural (archaeology)
lcsh:Chemistry
Documentation
geomatics
Cave
General Materials Science
cultural management
mapping
Instrumentation
lcsh:QH301-705.5
021101 geological & geomatics engineering
rock art
Fluid Flow and Transfer Processes
geography
geography.geographical_feature_category
business.industry
lcsh:T
Process Chemistry and Technology
010401 analytical chemistry
Environmental resource management
General Engineering
Hyperspectral imaging
cultural heritage
lcsh:QC1-999
0104 chemical sciences
Computer Science Applications
Cultural heritage
Workflow
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
Rock art
business
lcsh:Engineering (General). Civil engineering (General)
data processing
lcsh:Physics
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 11
- Issue :
- 1292
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....49c55ed33c4d8ddda16b822456c1fe6e