Cargando…

Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy

Structure from Motion (SfM) is a powerful tool to provide 3D point clouds from a sequence of images taken from different remote sensing technologies. The use of this approach for processing images captured from both Remotely Piloted Aerial Vehicles (RPAS), historical aerial photograms, and smartphon...

Descripción completa

Detalles Bibliográficos
Autores principales: Cignetti, Martina, Godone, Danilo, Wrzesniak, Aleksandra, Giordan, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567230/
https://www.ncbi.nlm.nih.gov/pubmed/31121988
http://dx.doi.org/10.3390/s19102364
_version_ 1783427028883603456
author Cignetti, Martina
Godone, Danilo
Wrzesniak, Aleksandra
Giordan, Daniele
author_facet Cignetti, Martina
Godone, Danilo
Wrzesniak, Aleksandra
Giordan, Daniele
author_sort Cignetti, Martina
collection PubMed
description Structure from Motion (SfM) is a powerful tool to provide 3D point clouds from a sequence of images taken from different remote sensing technologies. The use of this approach for processing images captured from both Remotely Piloted Aerial Vehicles (RPAS), historical aerial photograms, and smartphones, constitutes a valuable solution for the identification and characterization of active landslides. We applied SfM to process all the acquired and available images for the study of the Champlas du Col landslide, a complex slope instability reactivated in spring 2018 in the Piemonte Region (north-western Italy). This last reactivation of the slide, principally due to snow melting at the end of the winter season, interrupted the main road used to reach Sestriere, one of the most famous ski resorts in north-western Italy. We tested how SfM can be applied to process high-resolution multisource datasets by processing: (i) historical aerial photograms collected from five diverse regional flights, (ii) RGB and multi-spectral images acquired by two RPAS, taken in different moments, and (iii) terrestrial sequences of the most representative kinematic elements due to the evolution of the landslide. In addition, we obtained an overall framework of the historical development of the area of interest, and distinguished several generations of landslides. Moreover, an in-depth geomorphological characterization of the Champlas du Col landslide reactivation was done, by testing a cost-effective and rapid methodology based on SfM principles, which is easily repeatable to characterize and investigate active landslides.
format Online
Article
Text
id pubmed-6567230
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-65672302019-06-17 Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy Cignetti, Martina Godone, Danilo Wrzesniak, Aleksandra Giordan, Daniele Sensors (Basel) Article Structure from Motion (SfM) is a powerful tool to provide 3D point clouds from a sequence of images taken from different remote sensing technologies. The use of this approach for processing images captured from both Remotely Piloted Aerial Vehicles (RPAS), historical aerial photograms, and smartphones, constitutes a valuable solution for the identification and characterization of active landslides. We applied SfM to process all the acquired and available images for the study of the Champlas du Col landslide, a complex slope instability reactivated in spring 2018 in the Piemonte Region (north-western Italy). This last reactivation of the slide, principally due to snow melting at the end of the winter season, interrupted the main road used to reach Sestriere, one of the most famous ski resorts in north-western Italy. We tested how SfM can be applied to process high-resolution multisource datasets by processing: (i) historical aerial photograms collected from five diverse regional flights, (ii) RGB and multi-spectral images acquired by two RPAS, taken in different moments, and (iii) terrestrial sequences of the most representative kinematic elements due to the evolution of the landslide. In addition, we obtained an overall framework of the historical development of the area of interest, and distinguished several generations of landslides. Moreover, an in-depth geomorphological characterization of the Champlas du Col landslide reactivation was done, by testing a cost-effective and rapid methodology based on SfM principles, which is easily repeatable to characterize and investigate active landslides. MDPI 2019-05-22 /pmc/articles/PMC6567230/ /pubmed/31121988 http://dx.doi.org/10.3390/s19102364 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cignetti, Martina
Godone, Danilo
Wrzesniak, Aleksandra
Giordan, Daniele
Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy
title Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy
title_full Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy
title_fullStr Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy
title_full_unstemmed Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy
title_short Structure from Motion Multisource Application for Landslide Characterization and Monitoring: The Champlas du Col Case Study, Sestriere, North-Western Italy
title_sort structure from motion multisource application for landslide characterization and monitoring: the champlas du col case study, sestriere, north-western italy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567230/
https://www.ncbi.nlm.nih.gov/pubmed/31121988
http://dx.doi.org/10.3390/s19102364
work_keys_str_mv AT cignettimartina structurefrommotionmultisourceapplicationforlandslidecharacterizationandmonitoringthechamplasducolcasestudysestrierenorthwesternitaly
AT godonedanilo structurefrommotionmultisourceapplicationforlandslidecharacterizationandmonitoringthechamplasducolcasestudysestrierenorthwesternitaly
AT wrzesniakaleksandra structurefrommotionmultisourceapplicationforlandslidecharacterizationandmonitoringthechamplasducolcasestudysestrierenorthwesternitaly
AT giordandaniele structurefrommotionmultisourceapplicationforlandslidecharacterizationandmonitoringthechamplasducolcasestudysestrierenorthwesternitaly