A Systematic Review of UAVs for Island Coastal Environment and Risk Monitoring: Towards a Resilience Assessment

Author:

Jessin Jérémy12,Heinzlef Charlotte3,Long Nathalie2ORCID,Serre Damien345ORCID

Affiliation:

1. UMR EIO, University Polynesie Francaise, Ifremer, ILM, IRD, BP 6570, Tahiti 98702, French Polynesia

2. UMR LIENSs, La Rochelle Université—CNRS, 2 Rue Olympe de Gouges, 17000 La Rochelle, France

3. CEARC, Université Paris Saclay, UVSQ 11 Boulevard D’Alembert, 78280 Guyancourt, France

4. Mayane France—MayaneLabs, 75011 Paris, France

5. ARIACTION, Ecole d’urbanisme et d’architecture du Paysage, Université de Montréal, 2940 Chemin de la Côte-Sainte-Catherine, Montréal, QC H3C 3J7, Canada

Abstract

Island territories and their coastal regions are subject to a wide variety of stresses, both natural and anthropogenic. With increasing pressures on these vulnerable environments, the need to improve our knowledge of these ecosystems increases as well. Unmanned Aerial Vehicles (UAVs) have recently shown their worth as a tool for data acquisition in coastal zones. This literature review explores the field of UAVs in the context of coastal monitoring on island territories by highlighting the types of platforms, sensors, software, and validation methods available for this relatively new data acquisition method. Reviewing the existing literature will assist data collectors, researchers, and risk managers in more efficiently monitoring their coastal zones on vulnerable island territories. The scientific literature reviewed was strictly analyzed in peer-reviewed articles ranging from 2016 to 2022. This review then focuses on the operationalization of the concept of resilience as a risk management technique. The aim is to identify a procedure from raw data acquisition to quantifying indicators for the evaluation of the resilience of a territory and finally linking the analyzed data to a spatial decision support system. This system could aid the decision-making process and uses the islands of French Polynesia and its Resilience Observatory as a case study.

Publisher

MDPI AG

Subject

Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering

Reference67 articles.

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2. Rifat, S.A.A., and Liu, W. (2020). Measuring Community Disaster Resilience in the Conterminous Coastal United States. ISPRS Int. J. Geo-Inf., 9.

3. Pörtner, H.-O., Roberts, D., Masson-Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegría, A., Nicolai, M., and Okem, A. (2019). IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, Cambridge University Press.

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5. Rethinking the relationships of vulnerability, resilience, and adaptation from a disaster risk perspective;Lei;Nat. Hazards,2014

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