Quantitative assessment of the complexity of talus slope morphodynamics using multi-temporal data from terrestrial laser scanning (Tatra Mts., Poland)

被引:10
|
作者
Raczkowska, Zofia [1 ]
Cebulski, Jaroslaw [1 ]
机构
[1] Polish Acad Sci, Inst Geog & Spatial Org, Sw Jana 22 St, PL-31018 Krakow, Poland
关键词
Talus slopes; Debris flows; Slopes morphodynamics; Terrestrial laser scanning; Lichenometry; Tatra Mountains; DEBRIS-FLOW ACTIVITY; AIRBORNE LIDAR DATA; RAINFALL THRESHOLDS; SHALLOW LANDSLIDES; DURATION CONTROL; CLIMATIC-CHANGE; MOUNTAIN; INITIATION; INTENSITY; MAGNITUDE;
D O I
10.1016/j.catena.2021.105792
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
From 2011 to 2019 high-mountain talus slopes in the Tatra Mts. were observed using terrestrial laser scanning (TLS) measurements. The digital-elevation models (DEM-s) derived from these measurements permitted the quantification of mass wasting processes with an accuracy of a few centimetres, and the lichenometric measurements allowed the detection of past activity of the talus slopes. The analysis focused on the mechanism and local conditions of talus slope response to hydrometeorological impulses in the context of climate change. The results showed that changes in talus slopes are essentially effects of debris flows. Significant differences in spatiotemporal changes between two adjacent talus cones were found to be related to their catchment lithologies. The spatial extent of talus slope change during the period of TLS monitoring is confined to debris flows tracks, and debris flows do not affect the entire talus cones as was the case in the past. Quantitative analysis of slope surface changes demonstrates that their final effect is building up of the talus slope, even if the debris flows moved part of the debris sediments out. Variability in the volume of displaced debris ranges from several dozen to almost 17,000 m 3 . A single input of loose debris from a massive rockfall dominated the effectiveness of debris flows and demonstrated the significance of the cooperation of mass wasting processes in talus slope morphodynamics as well as confirming the importance of the availability of loose debris for debris flows. This input influences slope morphodynamics, at least during the 8 years of observations, even if heavy rainfall occurred.
引用
收藏
页数:12
相关论文
共 24 条
  • [1] Feasibility of the Sentinel-1 Multi-temporal InSAR system based on the SNAP and StaMPS: Case study from the Tatra Mts., Slovakia
    Czikhardt, R.
    Papco, J.
    Bakon, M.
    CENTERIS 2018 - INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS / PROJMAN 2018 - INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT / HCIST 2018 - INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERI, 2018, 138 : 366 - 373
  • [2] Motion Analysis of Fast Flowing Glaciers from Multi-temporal Terrestrial Laser Scanning
    Schwalbe, Ellen
    Maas, Hans-Gerd
    PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION, 2009, (01): : 91 - 98
  • [3] Monitoring earthen archaeological heritage using multi-temporal terrestrial laser scanning and surface change detection
    Lercari, Nicola
    JOURNAL OF CULTURAL HERITAGE, 2019, 39 : 152 - 165
  • [4] Multi-temporal analysis of terrestrial laser scanning data to detect basal stem rot in oil palm trees
    Husin, Nur A.
    Khairunniza-Bejo, Siti
    Abdullah, Ahmad F.
    Kassim, Muhamad S. M.
    Ahmad, Desa
    PRECISION AGRICULTURE, 2022, 23 (01) : 101 - 126
  • [5] Uncertainty assessment of multi-temporal airborne laser scanning data: A case study on an Alpine glacier
    Joerg, Philip Claudio
    Morsdorf, Felix
    Zemp, Michael
    REMOTE SENSING OF ENVIRONMENT, 2012, 127 : 118 - 129
  • [6] Landslide analysis by multi-temporal terrestrial laser scanning (TLS) data: the Mont de la Saxe landslide
    Crepaldi, Stefano
    Zhao, Ye
    Lavy, Muriel
    Amanzio, Gianpiero
    Suozzi, Enrico
    De Maio, Marina
    RENDICONTI ONLINE SOCIETA GEOLOGICA ITALIANA, 2015, 35 : 92 - 95
  • [7] Multi-temporal analysis of terrestrial laser scanning data to detect basal stem rot in oil palm trees
    Nur A. Husin
    Siti Khairunniza-Bejo
    Ahmad F. Abdullah
    Muhamad S. M. Kassim
    Desa Ahmad
    Precision Agriculture, 2022, 23 : 101 - 126
  • [8] Using tree stems in multi-temporal terrestrial lidar scanning data to monitor landslides on vegetated slopes
    Megan van Veen
    Michael Porter
    Matt Lato
    Andrew Mitchell
    Colleen Fish
    Wim Van Gassen
    Landslides, 2022, 19 : 829 - 840
  • [9] Using tree stems in multi-temporal terrestrial lidar scanning data to monitor landslides on vegetated slopes
    van Veen, Megan
    Porter, Michael
    Lato, Matt
    Mitchell, Andrew
    Fish, Colleen
    Van Gassen, Wim
    LANDSLIDES, 2022, 19 (04) : 829 - 840
  • [10] Multi-temporal estimation of vegetable crop biophysical parameters with varied nitrogen fertilization using terrestrial laser scanning
    Reji, Jayakumari
    Nidamanuri, Rama Rao
    Ramiya, Anandakumar M.
    Astor, Thomas
    Wachendorf, Michael
    Buerkert, Andreas
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 184