Integrated use of archival aerial photogrammetry, GNSS, and InSAR data for the monitoring of the Patigno landslide (Northern Apennines, Italy)

被引:1
|
作者
Nicola Cenni
Simone Fiaschi
Massimo Fabris
机构
[1] University of Padova,Department of Geosciences
[2] University College Dublin,UCD School of Earth Sciences
[3] University of Padova,Department of Civil, Environmental and Architectural Engineering
来源
Landslides | 2021年 / 18卷
关键词
Landslides; Multi-technique monitoring; Aerial photogrammetry; GNSS; InSAR; Northern Apennines (Italy);
D O I
暂无
中图分类号
学科分类号
摘要
The morphological changes of unstable areas can be identified using different methodologies that allow repeated surveys over time. The integration between the data obtained from different remote sensing and ground-based techniques, characterized by different coverage, resolution, and precision, allows to describe the kinematic motion of landslides with high accuracy and details. The aim of this work is to monitor the displacements of the Patigno landslide, a deep-seated gravitational slope deformation located in the Northern Apennines (Zeri, Massa Carrara, Italy), using archival aerial photogrammetry (1975–2010), continuous GNSS observations (2004–2018), and multi-temporal InSAR data (2015–2019). The results obtained adopting the different techniques were cross-validated and integrated in order to better explain the kinematics of the landslides: the GNSS data analysis shows horizontal movements of about 43 mm/yr in the S-E direction and vertical deformations of 6.5 mm/yr, in agreement with the average displacement rates obtained from photogrammetry and InSAR processing. The analysis of multi-temporal aerial photogrammetric images allowed us to observe three sectors of the landslide body characterized by different velocities rates and planimetric directions, in agreement with the LOS InSAR displacement field. Furthermore, the correlation between the rainfall distribution and the GNSS time series shows an acceleration of the sliding movements after about 3–4 months of a strong rainfall period. This integrated approach allowed us to overcome the limitations of each technique and to provide a 44-year long monitoring of the Patigno landslide. We also show that a synergic use of ground-based and remote sensing methodologies can provide useful information for the planning of more effective landslide risk mitigation strategies.
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页码:2247 / 2263
页数:16
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共 23 条
  • [1] Integrated use of archival aerial photogrammetry, GNSS, and InSAR data for the monitoring of the Patigno landslide (Northern Apennines, Italy)
    Cenni, Nicola
    Fiaschi, Simone
    Fabris, Massimo
    [J]. LANDSLIDES, 2021, 18 (06) : 2247 - 2263
  • [2] High-resolution reflection seismic survey at the Patigno landslide, Northern Apennines, Italy
    Stucchi, E.
    Ribolini, A.
    Anfuso, A.
    [J]. NEAR SURFACE GEOPHYSICS, 2014, 12 (04) : 559 - 571
  • [3] Use of InSAR data for landslide monitoring: a case study from Southern Italy
    Refice, A
    Bovenga, F
    Wasowski, J
    Guerriero, L
    [J]. IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 2504 - 2506
  • [4] Global Positioning Systems and digital photogrammetry for the monitoring of mass movements: application to the Ca' di Malta landslide (northern Apennines, Italy)
    Mora, P
    Baldi, P
    Casula, G
    Fabris, M
    Ghirotti, M
    Mazzini, E
    Pesci, A
    [J]. ENGINEERING GEOLOGY, 2003, 68 (1-2) : 103 - 121
  • [5] Using advanced InSAR techniques to monitor landslide deformations induced by tunneling in the Northern Apennines, Italy
    Bayer, B.
    Simoni, A.
    Schmidt, D.
    Bertello, L.
    [J]. ENGINEERING GEOLOGY, 2017, 226 : 20 - 32
  • [6] Site selection for landslide GNSS monitoring stations using InSAR and UAV photogrammetry with analytical hierarchy process
    Hao Xu
    Bao Shu
    Qin Zhang
    Yuan Du
    Jing Zhang
    Tuo We
    Guohua Xiong
    Xiaolei Dai
    Li Wang
    [J]. Landslides, 2024, 21 : 791 - 805
  • [7] Site selection for landslide GNSS monitoring stations using InSAR and UAV photogrammetry with analytical hierarchy process
    Xu, Hao
    Shu, Bao
    Zhang, Qin
    Du, Yuan
    Zhang, Jing
    We, Tuo
    Xiong, Guohua
    Dai, Xiaolei
    Wang, Li
    [J]. LANDSLIDES, 2024, 21 (04) : 791 - 805
  • [8] The use of PSInSAR™ data in landslide detection and monitoring: The example of the Piemonte region (Northern Italy)
    Meisina, C.
    Zucca, F.
    Notti, D.
    Colombo, A.
    Cucchi, A.
    Savio, G.
    Giannico, C.
    Bianchi, M.
    [J]. LANDSLIDES AND ENGINEERED SLOPES: FROM THE PAST TO THE FUTURE, VOLS 1 AND 2, 2008, : 1233 - +
  • [9] UAV, GNSS, and InSAR Data Analyses for Landslide Monitoring in a Mountainous Village in Western Greece
    Nikolakopoulos, Konstantinos G.
    Kyriou, Aggeliki
    Koukouvelas, Ioannis K.
    Tomaras, Nikolaos
    Lyros, Epameinondas
    [J]. REMOTE SENSING, 2023, 15 (11)
  • [10] Recognition of Landslide Triggering Mechanisms and Dynamics Using GNSS, UAV Photogrammetry and In Situ Monitoring Data
    Peternel, Tina
    Janza, Mitja
    Segina, Ela
    Bezak, Nejc
    Macek, Matej
    [J]. REMOTE SENSING, 2022, 14 (14)