PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
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
Version 1
: Received: 23 November 2022 / Approved: 25 November 2022 / Online: 25 November 2022 (02:25:21 CET)
How to cite:
De Donatis, M.; Pappafico, G. F.; Bonì, R.; Francioni, M.; Marino, L.; Morelli, S.; Zatserkovny, V. I. 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. Preprints2022, 2022110461. https://doi.org/10.20944/preprints202211.0461.v1
De Donatis, M.; Pappafico, G. F.; Bonì, R.; Francioni, M.; Marino, L.; Morelli, S.; Zatserkovny, V. I. 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. Preprints 2022, 2022110461. https://doi.org/10.20944/preprints202211.0461.v1
De Donatis, M.; Pappafico, G. F.; Bonì, R.; Francioni, M.; Marino, L.; Morelli, S.; Zatserkovny, V. I. 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. Preprints2022, 2022110461. https://doi.org/10.20944/preprints202211.0461.v1
APA Style
De Donatis, M., Pappafico, G. F., Bonì, R., Francioni, M., Marino, L., Morelli, S., & Zatserkovny, V. I. (2022). 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. Preprints. https://doi.org/10.20944/preprints202211.0461.v1
Chicago/Turabian Style
De Donatis, M., Stefano Morelli and Vitalii Ivanovych Zatserkovny. 2022 "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" Preprints. https://doi.org/10.20944/preprints202211.0461.v1
Abstract
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.
Keywords
Digital Geological Survey; Mobile GIS; Relational database; Geopackage; Landslide Inventory; Post-disaster management
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.