Bathymetry and selected views of the Fringing coral reef, south Moloka'i, Hawaii : perspective views using high resolution lidar bathymetry

2005 ◽  
Author(s):  
Joshua B. Logan ◽  
Michael E. Field ◽  
Pat S. Chavez
Keyword(s):  
Coral Reef ◽  
High Resolution

High-resolution sidescan-sonar imagery of the Manchas Interiores-Manchas Exteriores coral reef complex, Mayaguez, Puerto Rico

1992 ◽  
Author(s):  
William C. Schwab ◽  
R.M. Webb ◽  
W.W. Danforth ◽  
T.F. O'Brien ◽  
B.J. Irwin
Keyword(s):  
Puerto Rico ◽  
Coral Reef ◽  
High Resolution ◽  
Sidescan Sonar ◽  
Reef Complex

scholarly journals How many fish could be vocal? An estimation from a coral reef (Moorea Island)

2021 ◽  
Vol 151 ◽  
Author(s):  
Eric Parmentier ◽  
Frédéric Bertucci ◽  
Marta Bolgan ◽  
David Lecchini
Keyword(s):  
Coral Reef ◽  
High Resolution ◽  
Coral Reefs ◽  
Large Scale ◽  
Fish Populations ◽  
Successful Management ◽  
Acoustic Behaviour ◽  
Management Plans ◽  
Moorea Island

A recurrent question arising in fish bioacoustics research concerns the number of vocal fish species that may exist. Although it is not possible to provide a precise globally valid number, an estimation based on recordings already collected at coral reefs (Moorea) and on morphological approaches indicates that approximately half of the fish families of this particular environment has at least one known sound-producing species. In light of this, acoustic behaviour should be fully considered in biology, ecology and management plans as it may provide information on a consistent portion of fish biodiversity. Fish bioacoustics has switched from anecdotal reports to long-term, large-scale monitoring studies, capable of providing high resolution information on fish populations’ composition and dynamics. This information is vital for successful management plans in our quickly changing seas.

scholarly journals Automating Drone Image Processing to Map Coral Reef Substrates Using Google Earth Engine

Drones ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 50
Author(s):  
Mary K. Bennett ◽  
Nicolas Younes ◽  
Karen Joyce
Keyword(s):  
Image Processing ◽  
Coral Reef ◽  
High Resolution ◽  
Satellite Imagery ◽  
Coral Cover ◽  
Google Earth ◽  
Live Coral ◽  
Coral Sand ◽  
Google Earth Engine

While coral reef ecosystems hold immense biological, ecological, and economic value, frequent anthropogenic and environmental disturbances have caused these ecosystems to decline globally. Current coral reef monitoring methods include in situ surveys and analyzing remotely sensed data from satellites. However, in situ methods are often expensive and inconsistent in terms of time and space. High-resolution satellite imagery can also be expensive to acquire and subject to environmental conditions that conceal target features. High-resolution imagery gathered from remotely piloted aircraft systems (RPAS or drones) is an inexpensive alternative; however, processing drone imagery for analysis is time-consuming and complex. This study presents the first semi-automatic workflow for drone image processing with Google Earth Engine (GEE) and free and open source software (FOSS). With this workflow, we processed 230 drone images of Heron Reef, Australia and classified coral, sand, and rock/dead coral substrates with the Random Forest classifier. Our classification achieved an overall accuracy of 86% and mapped live coral cover with 92% accuracy. The presented methods enable efficient processing of drone imagery of any environment and can be useful when processing drone imagery for calibrating and validating satellite imagery.

scholarly journals Very high resolution mapping of coral reef state using airborne bathymetric LiDAR surface-intensity and drone imagery

2018 ◽  
Vol 39 (17) ◽  
pp. 5676-5688 ◽  
Author(s):  
Antoine Collin ◽  
Camille Ramambason ◽  
Yves Pastol ◽  
Elisa Casella ◽  
Alessio Rovere ◽  
...  
Keyword(s):  
Coral Reef ◽  
High Resolution ◽  
High Resolution Mapping ◽  
Resolution Mapping ◽  
Very High
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