Pre- and Post-Disaster Remote Sensing with Drones for Supporting Disaster Management

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dc.contributor.advisorHugenholtz, Chris H.
dc.contributor.authorKucharczyk, Maja
dc.contributor.committeememberGeldsetzer, Torsten
dc.contributor.committeememberHay, Geoffrey J.
dc.contributor.committeememberMoorman, Lynn
dc.contributor.committeememberSlick, Jean
dc.date2023-06
dc.date.accessioned2023-05-01T16:18:17Z
dc.date.available2023-05-01T16:18:17Z
dc.date.issued2023-04-27
dc.description.abstractSmall (< 25 kg) aerial drones have expanded the remote sensing toolkit for disaster management activities, resulting in hundreds of published case studies in the past two decades. The overall goal of this doctoral research, which comprises three related studies, is to evaluate drone-based pre- and post-disaster remote sensing as a tool to support disaster management. The first study provides a critical review of drone-based remote sensing in natural hazard-related disasters to highlight research trends, biases, and expose new opportunities. Recommendations for future research include a greater focus on demonstrating and evaluating drone-based support of pre-disaster data acquisition (a preparedness activity) and rapid damage assessment (a response activity). As such, the second study presents the first pre-disaster drone-based mapping mission over an urban area (downtown Victoria, British Columbia) approved by Transport Canada. The objective was to assess the quality of 3D data obtained with the only legally approved drone. Finally, the third study demonstrates rapid mapping of hurricane roof damage using artificial intelligence (deep learning) and drone imagery, including an accuracy assessment. Overall, this doctoral research identified critical knowledge gaps in the field of pre- and post-disaster remote sensing with small aerial drones, and then demonstrated and evaluated drone-based support of two building-damage-related activities that were recommended for future research.
dc.identifier.citationKucharczyk, M. (2023). Pre- and post-disaster remote sensing with drones for supporting disaster management (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.
dc.identifier.urihttp://hdl.handle.net/1880/116135
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/dspace/40980
dc.language.isoen
dc.publisher.facultyArts
dc.publisher.institutionUniversity of Calgary
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectdisaster
dc.subjecthazard
dc.subjectemergency
dc.subjectdamage
dc.subjectdrone
dc.subjectUAV
dc.subjectRPAS
dc.subjectliterature review
dc.subjectremote sensing
dc.subjectmapping
dc.subjectphotogrammetry
dc.subjectstructure from motion
dc.subjectartificial intelligence
dc.subjectdeep learning
dc.subjectconvolutional neural network
dc.subject.classificationGeography
dc.subject.classificationRemote Sensing
dc.subject.classificationArtificial Intelligence
dc.titlePre- and Post-Disaster Remote Sensing with Drones for Supporting Disaster Management
dc.typedoctoral thesis
thesis.degree.disciplineGeography
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.thesis.accesssetbystudentI do not require a thesis withhold – my thesis will have open access and can be viewed and downloaded publicly as soon as possible.
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