Next Article in Journal
Function-Based Search of Place Using Theoretical, Empirical and Probabilistic Patterns
Next Article in Special Issue
The CM SAF R Toolbox—A Tool for the Easy Usage of Satellite-Based Climate Data in NetCDF Format
Previous Article in Journal
An Integrated Framework Combining Multiple Human Activity Features for Land Use Classification
Previous Article in Special Issue
An Analysis of the Evolution, Completeness and Spatial Patterns of OpenStreetMap Building Data in China
Open AccessArticle

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

Department of Pure and Applied Sciences, University of Urbino ‘Carlo Bo’, Urbino 61029, Italy
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(2), 91; https://doi.org/10.3390/ijgi8020091
Received: 29 November 2018 / Revised: 15 January 2019 / Accepted: 11 February 2019 / Published: 15 February 2019
(This article belongs to the Special Issue Free and Open Source Tools for Geospatial Analysis and Mapping)
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. View Full-Text
Keywords: field mapping; QGIS; NMEA GPS; RDBMS field mapping; QGIS; NMEA GPS; RDBMS
Show Figures

Figure 1

MDPI and ACS Style

De Donatis, M.; Pappafico, G.F.; Romeo, R.W. A Field Data Acquisition Method and Tools for Hazard Evaluation of Earthquake-Induced Landslides with Open Source Mobile GIS. ISPRS Int. J. Geo-Inf. 2019, 8, 91.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop