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Monitoring biological degradation of historical stone using hyperspectral imaging

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378297%3A_____%2F24%3A00573424" target="_blank" >RIV/68378297:_____/24:00573424 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21110/24:00372161

  • Result on the web

    <a href="https://doi.org/10.1080/22797254.2023.2220565" target="_blank" >https://doi.org/10.1080/22797254.2023.2220565</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/22797254.2023.2220565" target="_blank" >10.1080/22797254.2023.2220565</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Monitoring biological degradation of historical stone using hyperspectral imaging

  • Original language description

    Stone 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20501 - Materials engineering

Result continuities

  • Project

    <a href="/en/project/DG20P02OVV021" target="_blank" >DG20P02OVV021: Building stone surface topography and its application in the field of stone features restoration</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    European Journal of Remote Sensing

  • ISSN

    2279-7254

  • e-ISSN

    2279-7254

  • Volume of the periodical

    57

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    IT - ITALY

  • Number of pages

    13

  • Pages from-to

    2220565

  • UT code for WoS article

    001007775800001

  • EID of the result in the Scopus database

    2-s2.0-85161835512