The Use of Unoccupied Aerial Systems (UASs) for Quantifying Shallow Coral Reef Restoration Success in Belize

Author:

Peterson Emily1,Carne Lisa2,Balderamos Jamani3,Faux Victor2,Gleason Arthur4,Schill Steven5ORCID

Affiliation:

1. Royal Netherlands Institute for Sea Research, Den Burg, P.O. Box 59, 1790 AB Texel, The Netherlands

2. Fragments of Hope, Placencia, Belize

3. The Nature Conservancy, Belize Business Unit, Belmopan, Belize

4. Physics Department, University of Miami, Coral Gables, FL 33146, USA

5. The Nature Conservancy, Caribbean Division, Coral Gables, FL 33134, USA

Abstract

There is a growing need for improved techniques to monitor coral reef restoration as these ecosystems and the goods and services they provide continue to decline under threats of anthropogenic activity and climate change. Given the difficulty of fine-scale requirements to monitor the survival and spread of outplanted branching coral fragments, Unoccupied Aerial Systems (UASs) provide an ideal platform to spatially document and quantitatively track growth patterns on shallow reef systems. We present findings from monitoring coral reef restoration combining UAS data with object-oriented segmentation techniques and open-source GIS analysis to quantify the areal extent of species-specific coverage across ~one hectare of shallow fringing reef over a one-year period (2019–2020) in Laughing Bird Caye National Park, southern Belize. The results demonstrate the detection of coral cover changes for three species (Acropora cervicornis, Acropora palmata, and Acropora prolifera) outplanted around the caye since 2006, with overall target coral species cover changing from 2142.58 to 2400.64 square meters from 2019 to 2020. Local ecological knowledge gathered from restoration practitioners was used to validate classified taxa of interest within the imagery collected. Our methods offer a monitoring approach that provides insight into coral growth patterns at a fine scale to better inform adaptive management practices for future restoration actions both within the park and at other reef replenishment target sites.

Funder

MAR Fund

World Wildlife Fund

Publisher

MDPI AG

Subject

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

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