A Field Data Acquisition Method and Tools for Hazard Evaluation of Earthquake-Induced Landslides with Open Source Mobile GIS

The PARSIFAL (Probabilistic Approach to pRovide Scenarios of earthquake Induced slope FAiLures) method was applied to the survey of post-earthquake landslides in central Italy for seismic microzonation purposes. In order to optimize time and resources, while also reducing errors, the paper-based met...

Full description

Bibliographic Details
Main Authors: Mauro De Donatis, Giulio F. Pappafico, Roberto W. Romeo
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/8/2/91
_version_ 1818269555996229632
author Mauro De Donatis
Giulio F. Pappafico
Roberto W. Romeo
author_facet Mauro De Donatis
Giulio F. Pappafico
Roberto W. Romeo
author_sort Mauro De Donatis
collection DOAJ
description The PARSIFAL (Probabilistic Approach to pRovide Scenarios of earthquake Induced slope FAiLures) method was applied to the survey of post-earthquake landslides in central Italy for seismic microzonation purposes. In order to optimize time and resources, while also reducing errors, the paper-based method of survey data sheets was translated into digital formats using such instruments as Tablet PCs, GPS and open source software (QGIS). To the base mapping consisting of Technical Regional Map (Carta Tecnica Regionale—CTRs) at the scale of 1:10,000, layers were added with such sensitive information as the Inventory of Landslide Phenomena in Italy (Inventario dei Fenomeni Franosi in Italia—IFFI), for example. A database was designed and implemented in the SQLite/SpatiaLite Relational DataBase Management System (RDBMS) to store data related to such elements as landslides, rock masses, discontinuities and covers (as provided by PARSIFAL). To facilitate capture of the datum on the ground, data entry forms were created with Qt Designer. In addition to this, the employment of some QGIS plug-ins, developed for digital surveying and enabling of quick annotations on the map and the import of images from external cameras, was found to be of considerable use.
first_indexed 2024-12-12T20:56:15Z
format Article
id doaj.art-23cc58aefdc24dc692ed4c45b436d5b0
institution Directory Open Access Journal
issn 2220-9964
language English
last_indexed 2024-12-12T20:56:15Z
publishDate 2019-02-01
publisher MDPI AG
record_format Article
series ISPRS International Journal of Geo-Information
spelling doaj.art-23cc58aefdc24dc692ed4c45b436d5b02022-12-22T00:12:17ZengMDPI AGISPRS International Journal of Geo-Information2220-99642019-02-01829110.3390/ijgi8020091ijgi8020091A Field Data Acquisition Method and Tools for Hazard Evaluation of Earthquake-Induced Landslides with Open Source Mobile GISMauro De Donatis0Giulio F. Pappafico1Roberto W. Romeo2Department of Pure and Applied Sciences, University of Urbino ‘Carlo Bo’, Urbino 61029, ItalyDepartment of Pure and Applied Sciences, University of Urbino ‘Carlo Bo’, Urbino 61029, ItalyDepartment of Pure and Applied Sciences, University of Urbino ‘Carlo Bo’, Urbino 61029, ItalyThe PARSIFAL (Probabilistic Approach to pRovide Scenarios of earthquake Induced slope FAiLures) method was applied to the survey of post-earthquake landslides in central Italy for seismic microzonation purposes. In order to optimize time and resources, while also reducing errors, the paper-based method of survey data sheets was translated into digital formats using such instruments as Tablet PCs, GPS and open source software (QGIS). To the base mapping consisting of Technical Regional Map (Carta Tecnica Regionale—CTRs) at the scale of 1:10,000, layers were added with such sensitive information as the Inventory of Landslide Phenomena in Italy (Inventario dei Fenomeni Franosi in Italia—IFFI), for example. A database was designed and implemented in the SQLite/SpatiaLite Relational DataBase Management System (RDBMS) to store data related to such elements as landslides, rock masses, discontinuities and covers (as provided by PARSIFAL). To facilitate capture of the datum on the ground, data entry forms were created with Qt Designer. In addition to this, the employment of some QGIS plug-ins, developed for digital surveying and enabling of quick annotations on the map and the import of images from external cameras, was found to be of considerable use.https://www.mdpi.com/2220-9964/8/2/91field mappingQGISNMEA GPSRDBMS
spellingShingle Mauro De Donatis
Giulio F. Pappafico
Roberto W. Romeo
A Field Data Acquisition Method and Tools for Hazard Evaluation of Earthquake-Induced Landslides with Open Source Mobile GIS
ISPRS International Journal of Geo-Information
field mapping
QGIS
NMEA GPS
RDBMS
title A Field Data Acquisition Method and Tools for Hazard Evaluation of Earthquake-Induced Landslides with Open Source Mobile GIS
title_full A Field Data Acquisition Method and Tools for Hazard Evaluation of Earthquake-Induced Landslides with Open Source Mobile GIS
title_fullStr A Field Data Acquisition Method and Tools for Hazard Evaluation of Earthquake-Induced Landslides with Open Source Mobile GIS
title_full_unstemmed A Field Data Acquisition Method and Tools for Hazard Evaluation of Earthquake-Induced Landslides with Open Source Mobile GIS
title_short A Field Data Acquisition Method and Tools for Hazard Evaluation of Earthquake-Induced Landslides with Open Source Mobile GIS
title_sort field data acquisition method and tools for hazard evaluation of earthquake induced landslides with open source mobile gis
topic field mapping
QGIS
NMEA GPS
RDBMS
url https://www.mdpi.com/2220-9964/8/2/91
work_keys_str_mv AT maurodedonatis afielddataacquisitionmethodandtoolsforhazardevaluationofearthquakeinducedlandslideswithopensourcemobilegis
AT giuliofpappafico afielddataacquisitionmethodandtoolsforhazardevaluationofearthquakeinducedlandslideswithopensourcemobilegis
AT robertowromeo afielddataacquisitionmethodandtoolsforhazardevaluationofearthquakeinducedlandslideswithopensourcemobilegis
AT maurodedonatis fielddataacquisitionmethodandtoolsforhazardevaluationofearthquakeinducedlandslideswithopensourcemobilegis
AT giuliofpappafico fielddataacquisitionmethodandtoolsforhazardevaluationofearthquakeinducedlandslideswithopensourcemobilegis
AT robertowromeo fielddataacquisitionmethodandtoolsforhazardevaluationofearthquakeinducedlandslideswithopensourcemobilegis