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作 者:Elena GAROVA Bogdan CHADROMTSEV Alexander PEDANOV Pavel GREBENNIKOV Igor ILTUGANOV Pavel LOBANOV Pavel PONOMARJOVS Felix DRAESNER Sven FUCHS
机构地区:[1]LLC PK TRUMER,Moscow 119002,Russia [2]Lomonosov Moscow State University,Moscow 119991,Russia [3]BOKU University,Vienna 1180,Austria
出 处:《Journal of Mountain Science》2025年第3期763-775,共13页山地科学学报(英文)
基 金:Open access funding provided by University of Natural Resources and Life Sciences Vienna(BOKU).
摘 要: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.
关 键 词:Geomorphological mapping Hazard assessment UAV Remote mountain areas Mitigation planning
分 类 号:P237[天文地球—摄影测量与遥感] X43[天文地球—测绘科学与技术]
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