Photogrammetry as a participatory recovery tool after disasters: a grounded framework for future guidelines

Pezzica, Camilla ORCID: https://orcid.org/0000-0002-0512-7591, Piemonte, Andrea, Bleil De Souza, Clarice ORCID: https://orcid.org/0000-0001-7823-1202 and Cutini, Valerio 2019. Photogrammetry as a participatory recovery tool after disasters: a grounded framework for future guidelines. Presented at: 27th International CIPA Symposium, Avila, Spain, 1-5 September 2019. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. pp. 921-928. 10.5194/isprs-archives-XLII-2-W15-921-2019

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Abstract

This paper identifiesthe application domain, context of use, processes and goals of low-cost street-level photogrammetry after urban disasters.The proposal seeks a synergy between top-down and bottom-up initiatives carried out by different actorsduring the humanitarian response phasein data scarce contexts. By focusing on the self-organisation capacities of local people, this paper suggests using collaborative photogrammetry to empower communities hit by disasters and foster their active participation in recovery and reconstruction planning. It shows that this task may prove technically challenging depending on the specifics of the collected imageryand develops agrounded framework to produce user-centred image acquisition guidelines and fit-for-purpose photogrammetric reconstruction workflows, useful in future post-disaster scenarios.To this end, it presents an in-depth analysis of a collaborative photographic mapping initiative undergone by a group of citizen-scientists after the 2016 Central Italy earthquake, followed by the explorative processing of some sample datasets.Specifically, the paper firstly presents avisualethnographic study of thephotographic materialuploadedbyparticipantsfrom September2016 to November 2018in the two Italian municipalities of Arquata del Tronto and Norcia. Secondly, it illustrates from atechnical point of view issues concerningthe processing of crowdsourced data(e.g. image filtering, selection, quality, semantic content and 3D model scaling)and discussesthe viability of using itto enrich the pool of geo-information availableto stakeholders and decision-makers.Final considerations are discussed as part of a grounded framework for future guidelines tailored tomultiplegoals anddata processingscenarios

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Architecture
Additional Information:	Volume: XLII-2/W15
Related URLs:	Organisation
Date of First Compliant Deposit:	21 February 2020
Date of Acceptance:	30 June 2019
Last Modified:	26 Oct 2022 07:17
URI:	https://orca.cardiff.ac.uk/id/eprint/124484

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