A general methodological framework for hazard assessment in remote mountain areas combining geomorphological mapping with UAV survey.
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| Title: | A general methodological framework for hazard assessment in remote mountain areas combining geomorphological mapping with UAV survey. |
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| Authors: | Garova, Elena1 (AUTHOR) garova.el@gmail.com, Chadromtsev, Bogdan1 (AUTHOR) bogdan.chadromcev@trumer.su, Pedanov, Alexander2 (AUTHOR) a-pedanov@mail.ru, Grebennikov, Pavel2 (AUTHOR) grebennikovp@list.ru, Iltuganov, Igor1 (AUTHOR) i.iltuganov@trumer.su, Lobanov, Pavel1 (AUTHOR) rexcore96@mail.ru, Ponomarjovs, Pavel1 (AUTHOR) p.ponomarjov@trumer.su, Draesner, Felix3 (AUTHOR) felix.draesner@gmail.com, Fuchs, Sven3 (AUTHOR) sven.fuchs@boku.ac.at |
| Source: | Journal of Mountain Science. Mar2025, Vol. 22 Issue 3, p763-775. 13p. |
| Subject Terms: | *Mass-wasting (Geology), *Geomorphological mapping, *Risk assessment, *Hazard mitigation, *Remote sensing |
| Abstract: | This paper presents a standardised workflow for conducting hazard assessments of mass wasting processes in remote mountain areas with limited data. The methodology integrates geomorphological mapping and remote sensing techniques and is adaptable to different national standards, thus ensuring its applicability in a variety of contexts. The principal objective is to guarantee the safety of mountainous regions, particularly in the vicinity of essential infrastructure, where the scope for implementing structural measures is restricted. The framework commences with comprehensive geomorphological mapping, which facilitates the identification of past hazardous processes and potential future hazards. New technologies, such as uncrewed aerial vehicles (UAVs), are employed to create high-resolution DEMs, which are particularly beneficial in regions with limited data availability. These models facilitate the assessment of potential hazards and inform decisions regarding protective measures. The utilisation of UAVs enhances the accuracy and efficiency of data collection, particularly in remote mountainous regions where alternative remotely sensed information may be unavailable. The integration of modern approaches into traditional hazard assessment methods allows for a comprehensive analysis of the spatial distribution of factors driving mass wasting processes. This workflow provides valuable insights that assist in the prioritisation of interventions and the optimisation of risk reduction in high mountainous areas. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 183640828 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A general methodological framework for hazard assessment in remote mountain areas combining geomorphological mapping with UAV survey. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Garova%2C+Elena%22">Garova, Elena</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> garova.el@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Chadromtsev%2C+Bogdan%22">Chadromtsev, Bogdan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bogdan.chadromcev@trumer.su</i><br /><searchLink fieldCode="AR" term="%22Pedanov%2C+Alexander%22">Pedanov, Alexander</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> a-pedanov@mail.ru</i><br /><searchLink fieldCode="AR" term="%22Grebennikov%2C+Pavel%22">Grebennikov, Pavel</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> grebennikovp@list.ru</i><br /><searchLink fieldCode="AR" term="%22Iltuganov%2C+Igor%22">Iltuganov, Igor</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> i.iltuganov@trumer.su</i><br /><searchLink fieldCode="AR" term="%22Lobanov%2C+Pavel%22">Lobanov, Pavel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rexcore96@mail.ru</i><br /><searchLink fieldCode="AR" term="%22Ponomarjovs%2C+Pavel%22">Ponomarjovs, Pavel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> p.ponomarjov@trumer.su</i><br /><searchLink fieldCode="AR" term="%22Draesner%2C+Felix%22">Draesner, Felix</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> felix.draesner@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Fuchs%2C+Sven%22">Fuchs, Sven</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> sven.fuchs@boku.ac.at</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Mountain+Science%22">Journal of Mountain Science</searchLink>. Mar2025, Vol. 22 Issue 3, p763-775. 13p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Mass-wasting+%28Geology%29%22">Mass-wasting (Geology)</searchLink><br />*<searchLink fieldCode="DE" term="%22Geomorphological+mapping%22">Geomorphological mapping</searchLink><br />*<searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br />*<searchLink fieldCode="DE" term="%22Hazard+mitigation%22">Hazard mitigation</searchLink><br />*<searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents a standardised workflow for conducting hazard assessments of mass wasting processes in remote mountain areas with limited data. The methodology integrates geomorphological mapping and remote sensing techniques and is adaptable to different national standards, thus ensuring its applicability in a variety of contexts. The principal objective is to guarantee the safety of mountainous regions, particularly in the vicinity of essential infrastructure, where the scope for implementing structural measures is restricted. The framework commences with comprehensive geomorphological mapping, which facilitates the identification of past hazardous processes and potential future hazards. New technologies, such as uncrewed aerial vehicles (UAVs), are employed to create high-resolution DEMs, which are particularly beneficial in regions with limited data availability. These models facilitate the assessment of potential hazards and inform decisions regarding protective measures. The utilisation of UAVs enhances the accuracy and efficiency of data collection, particularly in remote mountainous regions where alternative remotely sensed information may be unavailable. The integration of modern approaches into traditional hazard assessment methods allows for a comprehensive analysis of the spatial distribution of factors driving mass wasting processes. This workflow provides valuable insights that assist in the prioritisation of interventions and the optimisation of risk reduction in high mountainous areas. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=183640828 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11629-024-9096-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 763 Subjects: – SubjectFull: Mass-wasting (Geology) Type: general – SubjectFull: Geomorphological mapping Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Hazard mitigation Type: general – SubjectFull: Remote sensing Type: general Titles: – TitleFull: A general methodological framework for hazard assessment in remote mountain areas combining geomorphological mapping with UAV survey. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Garova, Elena – PersonEntity: Name: NameFull: Chadromtsev, Bogdan – PersonEntity: Name: NameFull: Pedanov, Alexander – PersonEntity: Name: NameFull: Grebennikov, Pavel – PersonEntity: Name: NameFull: Iltuganov, Igor – PersonEntity: Name: NameFull: Lobanov, Pavel – PersonEntity: Name: NameFull: Ponomarjovs, Pavel – PersonEntity: Name: NameFull: Draesner, Felix – PersonEntity: Name: NameFull: Fuchs, Sven IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 16726316 Numbering: – Type: volume Value: 22 – Type: issue Value: 3 Titles: – TitleFull: Journal of Mountain Science Type: main |
| ResultId | 1 |