Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed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. 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. Preprints 2022, 2022110461. 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

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