Advanced Remote Sensing Methods for Coastal Science and Management Completed
This project focused on developing algorithms for quantifying benthic habitat complexity from images, modeling the structural complexity of the seafloor, and using fluorescence signatures to classify coral reef habitats.
Project Specifications
The project included ship-based, multibeam sonar, and diver-based fluorescence imaging systems. Algorithms were developing to characterize and classify features on the seafloor using data collected by both airborne and underwater instrumentation.
Principles of fractal geometry were applied to model the structural complexity of the seafloor. The fluorescent properties of corals were used to improve automated image classification and investigate linkages to coral diseases.
In addition to their scientific merit, these tools benefited a number of research projects, including several tasks within the Coral Reef Ecosystem Studies (CREST) project.
Along-Track Reef Imaging System (ATRIS)
ATRIS is a benthic-survey tool that simultaneously acquires geo-located, color, digital images with corresponding water depths.
Modeling Seafloor Structural Complexity
This effort focused on understanding the patterns and scalability of roughness and topographic complexity of marine habitats, such as coral reefs.
Applications of Coral Fluorescence
Fluorescence is an often-overlooked property of reef-building corals that can improve the classification of reef habitats from imagery and provide diagnostic information on corals.
Below are other science projects associated with this project.
Below are publications associated with this project.
Changes in the fluorescence of the Caribbean coral Montastraea faveolata during heat-induced bleaching
Image processing of underwater multispectral imagery
- Overview
This project focused on developing algorithms for quantifying benthic habitat complexity from images, modeling the structural complexity of the seafloor, and using fluorescence signatures to classify coral reef habitats.
Project Specifications
The project included ship-based, multibeam sonar, and diver-based fluorescence imaging systems. Algorithms were developing to characterize and classify features on the seafloor using data collected by both airborne and underwater instrumentation.
Principles of fractal geometry were applied to model the structural complexity of the seafloor. The fluorescent properties of corals were used to improve automated image classification and investigate linkages to coral diseases.
In addition to their scientific merit, these tools benefited a number of research projects, including several tasks within the Coral Reef Ecosystem Studies (CREST) project.
Along-Track Reef Imaging System (ATRIS)
ATRIS is a benthic-survey tool that simultaneously acquires geo-located, color, digital images with corresponding water depths.
Modeling Seafloor Structural Complexity
This effort focused on understanding the patterns and scalability of roughness and topographic complexity of marine habitats, such as coral reefs.
Applications of Coral Fluorescence
Fluorescence is an often-overlooked property of reef-building corals that can improve the classification of reef habitats from imagery and provide diagnostic information on corals.
- Science
Below are other science projects associated with this project.
- Publications
Below are publications associated with this project.
Filter Total Items: 14Changes in the fluorescence of the Caribbean coral Montastraea faveolata during heat-induced bleaching
In order to evaluate the response of commonly occurring green and orange fluorescent host-based pigments, a thermal stress experiment was performed on specimens of the Caribbean coral Montastraea faveolata. Seven paired samples were collected from a small oceanic reef near Lee Stocking Island in the Bahamas. Seven of the fourteen corals were subjected to elevated temperatures for 28 d, followed byAuthorsDavid G. Zawada, J.S. JaffeImage processing of underwater multispectral imagery
Capturing in situ fluorescence images of marine organisms presents many technical challenges. The effects of the medium, as well as the particles and organisms within it, are intermixed with the desired signal. Methods for extracting and preparing the imagery for analysis are discussed in reference to a novel underwater imaging system called the low-light-level underwater multispectral imaging sysAuthorsD. G. Zawada