Open source GIS for geological field mapping: research and teaching experience

Donatis, Mauro De; Alberti, Mauro; Cesarini, Carlo; Menichetti, Marco; Susini, Sara

doi:10.7287/peerj.preprints.2258v3

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…In particular, some plug-ins conceived in the laboratory were developed, thanks to the efforts of some students in their thesis work, and those of outside collaborators [17].…”

Section: Softwarementioning

confidence: 99%

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

Donatis¹,

Pappafico²,

Romeo³

2019

IJGI

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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.

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“…In particular, some plug-ins conceived in the laboratory were developed, thanks to the efforts of some students in their thesis work, and those of outside collaborators [17].…”

Section: Softwarementioning

confidence: 99%

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

Donatis¹,

Pappafico²,

Romeo³

2019

IJGI

Self Cite

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“…QGIS (version 3.22) [17], which is open-source software, was the cross-platform GIS software utilized, with the support of some plugins, such as BeePen [18] to write notes and draw geomorphological elements with the stylus directly on the base maps, similar to the pen-on-paper system [19]. Although simplified apps such as Qfield for QGIS [20] and Input [21] are now available for QGIS, we decided to use the conventional QGIS platform to avoid importing and exporting projects [22] and, more importantly, to be able to customize the QGIS toolbar, making it more suitable for fieldwork.…”

Section: Digital Field Surveymentioning

confidence: 99%

A Low-Cost and Fast Operational Procedure to Identify Potential Slope Instabilities in Cultural Heritage Sites

Morelli,

Bonì,

De Donatis

et al. 2023

Remote Sensing

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Italy is famous for its one-of-a-kind landscapes and the many cultural heritage sites characterizing the story of its regions. In central Italy, during the medieval age, some of them were built on the top of high and steep cliffs, often on the top of ancient ruins, to protect urban agglomerations, goods and people. The geographical locations of these centers allowed them to maintain their original conformation over time, but, at the same time, exposed them to a high risk of landslides. In this context, this research aimed to present an integrated and low-cost approach to study the potential landslide phenomena affecting two medieval towns. Field surveys and mapping were carried out through the use of innovative digital mapping tools to create a digital database directly on the field. Data gathered during field surveys were integrated with GIS analyses for an improved interpretation of the geological and geomorphological features. Due to the inaccessibility of the cliffs surrounding the two villages, a more detailed analysis of these areas was performed through the use of unmanned aerial vehicle-based photogrammetry, while advanced differential synthetic aperture radar interferometry (A-DInSAR) interpretation was undertaken to verify the stability of the buildings in proximity to the cliffs and other potential active failures. The results of the study highlighted the similar geometry and structural settings of the two areas. Kinematically, the intersection of three main joint sets tends to detach blocks (sometimes in high volumes) from the cliffs. The A-DInSAR analysis demonstrated the presence of a landslide failure along the northwest side of the Monte San Martino town. The buildings in proximity to the cliffs did not show evidence of movements. More generally, this research gives insights into the pro and cons of different survey and analysis approaches and into the benefits of their procedural integration in space and in time. Overall, the procedure developed here may be applied in similar contexts in order to understand the structural features driving slopes’ instabilities and create digital databases of geological/monitoring data.

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“…The main GIS software used was QGIS (version 3.16) [14], which has been employed for years in field research. This GIS software was chosen for its ease and widespread use, as well as for the open-source approach that allows the customisation and creation of new tools suited for field work [15,9]. Some plug-ins such as BeePen [16] were used to write notes and draw with the stylus directly on the map, similar to the pen-on-paper system [15].…”

Section: Softwarementioning

confidence: 99%

Landslide Field Mapping: IFFI-Restart Forms for Data Acquisition and Management for the Classification of Landslides in the Municipalities Affected by the 2016 Central Italy Earthquake

Donatis¹,

Pappafico²,

Bonì³

et al. 2022

Preprint

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Over the last few decades, the approach to geological and geomorphological surveys has changed remarkably. The advent of digital tools has allowed significant advances in the acquisition and management of survey data. In this paper, we demonstrate the development and testing of a new and effective digital survey method that allows for the fast acquisition and collaborative storage and management of data and information. This method was tested in collaboration with five universities for the mapping and classification of landslides in 249 survey areas in Central Italy and, more precisely, in the municipalities affected by the 2016 Central Italy Earthquake. Geological and geomorphological surveys were carried out in the field with tablet PCs, GPS, and cameras. The survey project for collecting field data was based on the structure of the Italian Landslide Inventory (IFFI) and the Territorial Resilience Central Apennines Earthquake Reconstruction (ReSTART) projects. The structure of the database and input forms were implemented for these aims. Moreover, the data and information were retrieved and organised in detailed records useful to the administrative entities.

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Open source GIS for geological field mapping: research and teaching experience

Cited by 5 publications

References 1 publication

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

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

A Low-Cost and Fast Operational Procedure to Identify Potential Slope Instabilities in Cultural Heritage Sites

Landslide Field Mapping: IFFI-Restart Forms for Data Acquisition and Management for the Classification of Landslides in the Municipalities Affected by the 2016 Central Italy Earthquake

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