Mapping of coral reefs with multispectral satellites: a review of recent papers

T Nguyen, B Liquet, K Mengersen, D Sous - Remote Sensing, 2021 - mdpi.com
Coral reefs are an essential source of marine biodiversity, but they are declining at an
alarming rate under the combined effects of global change and human pressure. A precise …

Machine-learning for mapping and monitoring shallow coral reef habitats

C Burns, B Bollard, A Narayanan - Remote Sensing, 2022 - mdpi.com
Mapping and monitoring coral reef benthic composition using remotely sensed imagery
provides a large-scale inference of spatial and temporal dynamics. These maps have …

Probabilistic wildfire segmentation using supervised deep generative model from satellite imagery

A Akbari Asanjan, M Memarzadeh, PA Lott, E Rieffel… - Remote Sensing, 2023 - mdpi.com
Wildfires are one of the major disasters among many and are responsible for more than 6
million acres burned in the United States alone every year. Accurate, insightful, and timely …

A comprehensive evaluation of machine learning and classical approaches for spaceborne active-passive fusion bathymetry of coral reefs

J Cheng, L Cheng, S Chu, J Li, Q Hu, L Ye… - … International Journal of …, 2023 - mdpi.com
Satellite-derived bathymetry (SDB) techniques are increasingly valuable for deriving high-
quality bathymetric maps of coral reefs. Investigating the performance of the related SDB …

[HTML][HTML] NeMO-net–gamifying 3D labeling of multi-modal reference datasets to support automated marine habitat mapping

J Van den Bergh, V Chirayath, A Li… - Frontiers in Marine …, 2021 - frontiersin.org
NASA NeMO-Net, the Neural Multimodal Observation and Training Network for global coral
reef assessment, is a convolutional neural network (CNN) that generates benthic habitat …

[PDF][PDF] Machine learning models for satellite-based coral reef mapping

T Nguyen - 2023 - researchgate.net
The ongoing crisis of climate change necessitates the development of effective methods for
monitoring and mapping environmental features and species to ensure their preservation …

Coral image segmentation with point-supervision via latent dirichlet allocation with spatial coherence

X Yu, B Ouyang, JC Principe - Journal of Marine Science and …, 2021 - mdpi.com
Deep neural networks provide remarkable performances on supervised learning tasks with
extensive collections of labeled data. However, creating such large well-annotated data sets …