A CNN based image segmentation tool oriented to marine data analysis

A repository containing tools useful for interacting with CoralNet and other downstream tasks.

A repo for the paper titled, "Classifying 3D Models of Coral Reefs using Structure-from-Motion and Multiview Semantic Segmentation"; here we provide a walkthrough of the workflow and open-sourced code.

Code repository for the GCRMN benthic synthetic dataset

Individual back-calculated size-at-age based on otoliths from Pacific coral reef fish species

This code is part of a bigger project about the semantic segmentation of coral reefs for ecological monitoring.

Coral reefs benthic monitoring: spatio-temporal distribution, methods and stakeholders

Tools for processing Pacific NCRMP carbonate budgets data

An analysis of the factors that have affected the bleaching of coral reefs across a span of 20 years in different oceans around the globe.

SeaBloom uses AI models (CNNs and RNNs) + LiDAR to detect and pinpoint healthy corals to later selectively breed and transplant.

Repository for creating object detection and instance segmentation models for deep-sea benthic habitats.

What drives spatial patterns of sub-adult gray snapper and bluestriped grunt abundances on coral patch reefs off the Florida Keys, USA? 🐠🌊

Effects of Overfishing on Coral Reef Ecosystems

This repository contains methylation AFLP data as employed in Rodríguez-Casariego et al., Frontiers in Marine Sciences, 2020: "Genome-wide DNA methylation analysis reveals a conserved epigenetic response to seasonal environmental variation in the staghorn coral Acropora cervicornis"

A workflow to integrate ecological monitoring data from different sources

This repository contains code used in the analysis of coral bleaching survey data collected across the Hawaiian Archipelago during the 2019 bleaching event. We investigated spatial, temporal, and taxa-specific variability in bleaching, as well as drivers of the event. See README for more information on downloading archived data.

Visualize and predict the death of the coral reefs.

Rallying together to gather and spread intel on the health of corals and provide coral reef organizations with up-to-date information using ML. (hackathon winner)

Status of coral reef monitoring: An assessment of methods and data at the national level

experimental perlin-noise weekend-project ends up being a mesmerising screensaver