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Development of a Google Earth Engine-Based Application for the Management of Shallow Coral Reefs Using Drone Imagery

Lookup NU author(s): Professor Clare Fitzsimmons

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2023 by the authors.The Caribbean is one of the world’s most vulnerable regions to the projected impacts of climate change, and changes in coral reef ecosystems have been studied over the last two decades. Lately, new technology-based methods using satellites and unmanned vehicles, among others have emerged as tools to aid the governance of these ecosystems by providing managers with high-quality data for decision-making processes. This paper addresses the development of a Google Earth Engine (GEE)-based application for use in the management processes of shallow coral reef ecosystems, using images acquired with Remotely Piloted Aircraft Systems (RPAS) known as drones, at the Old Providence McBean Lagoon National Natural Park; a Marine Protected Area (MPA) located northwest of Old Providence Island, Colombia. Image acquisition and processing, known as drone imagery, is first described for flights performed using an RTK multispectral drone at five different monitoring stations within the MPA. Then, the use of the GEE app is described and illustrated. The user executes four simple steps starting with the selection of the orthomosaics uploaded to GEE and obtaining the reef habitat classification for four categories: coral, macroalgae, sand, and rubble, at any of the five monitoring stations. Results show that these classes can be effectively mapped using different machine-learning (ML) algorithms available inside GEE, helping the manager obtain high-quality information about the reef. This remote-sensing application represents an easy-to-use tool for managers that can be integrated into modern ecosystem monitoring protocols, supporting effective reef governance within a digitized society with more demanding stakeholders.


Publication metadata

Author(s): Zapata-Ramirez PA, Hernandez-Hamon H, Fitzsimmons C, Cano M, Garcia J, Zuluaga CA, Vasquez RE

Publication type: Article

Publication status: Published

Journal: Remote Sensing

Year: 2023

Volume: 15

Issue: 14

Print publication date: 01/07/2023

Online publication date: 12/07/2023

Acceptance date: 19/06/2023

Date deposited: 11/09/2023

ISSN (electronic): 2072-4292

Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

URL: https://doi.org/10.3390/rs15143504

DOI: 10.3390/rs15143504

Data Access Statement: The GEE App can be accessed at https://nandoceanos.users.earthengine.app/view/coralclass, (accessed on 15 November 2022).


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Funding

Funder referenceFunder name
Geomares
IAPP18-19_210
Parques Nacionales Naturales de Colombia
Newton Fund
Royal Academy of Engineering
Universidad Pontificia Bolivariana
University of Newcastle upon Tyne

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