Modern Methods of Rock Mass Characterisation and Rock Fall Monitoring: A Review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985891%3A_____%2F23%3A00577445" target="_blank" >RIV/67985891:_____/23:00577445 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/23:10458167
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-23859-8_1" target="_blank" >http://dx.doi.org/10.1007/978-3-031-23859-8_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-23859-8_1" target="_blank" >10.1007/978-3-031-23859-8_1</a>
Alternative languages
Result language
angličtina
Original language name
Modern Methods of Rock Mass Characterisation and Rock Fall Monitoring: A Review
Original language description
Abstract Modern methods to characterise rock masses and monitor rockfalls and rock slope stability are evolving incredibly fast during the last decade. The rapid increase in new techniques, miniaturization, affordability, computational power, or remote sensing data availability allows deployment in more areas in higher amounts with higher frequency and accuracy of acquisition. The current rapid development of monitoring methods is also induced by engineering challenges when new infrastruc-tures are being constructed in more complicated geological conditions, like moun-tainous areas or deep gorges with steep slopes. This chapter brings an overview of modern methods used for rock mass characterisation and rockfall monitoring and shows the basic needs for complex monitoring systems and data processing. Finally, it describes the main groups of monitoring methods based on cluster anal-ysis and principal trends in research papers related to modern methods in rock mass characterisation and rockfall monitoring.n
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10505 - Geology
Result continuities
Project
<a href="/en/project/SS02030023" target="_blank" >SS02030023: Rock Environment and Natural Resources</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Landslides: Detection, Prediction and Monitoring
ISBN
978-3-031-23858-1
Number of pages of the result
38
Pages from-to
1-38
Number of pages of the book
419
Publisher name
Springer Natural AG
Place of publication
Cham
UT code for WoS chapter
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