Reef image analysis
Photo-transect organization, benthic annotation, human review, and quality-focused workflows that turn underwater imagery into ecological information.
Neptune Tide is an independent ocean brand founded by marine biologist Daniel Conley. Its science work draws on coral reef ecology, image-based monitoring, field methods, and clear public-facing communication.
Neptune Tide does not present itself as a large environmental consulting firm. It is a platform shaped by Daniel’s prior work in coral reef ecology, scientific imaging, biological surveys, habitat monitoring, and marine community assessment.
The goal is to connect capable science, strong visuals, and accessible storytelling, without losing the care that good field and image data require.
Photo-transect organization, benthic annotation, human review, and quality-focused workflows that turn underwater imagery into ecological information.
Machine-learning-assisted annotation, training-set development, CoralNet interpretation, and practical comparison with expert analysis.
Experience across coral reef ecology, biological surveys, eelgrass and Caulerpa work, habitat monitoring, and marine community assessments.
Clear technical writing, visual storytelling, and public-facing material that keeps the science accurate while making it easier to understand.

Daniel’s continuing research focus is the practical use of reef imagery: how field methods, human expertise, and machine-learning-assisted tools can work together to describe coral cover, community composition, and change through time.
This direction is grounded in long-term photo-quadrat experience, including fieldwork at Ishigaki Island, Japan, as well as Fiji reef imagery and CoralNet workflows, with an emphasis on methods that remain transparent, interpretable, and useful for real monitoring questions.
The work below belongs to Daniel Conley’s scientific record. It informs Neptune Tide’s perspective.
A coral methods paper describing a non-destructive photogrammetry workflow for measuring coral surface area through time.
Read paperA phylogenetic study exploring the evolutionary history of sound production across spiny lobsters.
Read paperA practical methods paper on pairing CoralNet workflows with CPCe-based coral reef image analysis.
A review of the movement from traditional transects and quadrats to image-based and machine-learning-assisted annotation workflows.
A Fiji reef ecology paper evaluating depth-related patterns in coral cover and coral diversity around Totoya through CoralNet and expert annotation.
Photo transects from nine reef sites around Totoya, spanning 5–20 m depth, are used to describe spatial and depth-related patterns in live hard coral cover and coral diversity, and to compare a CoralNet machine-learning annotator with trained human analysis.

Daniel’s 2012 master’s capstone used PVC photo-quadrats to document coral cover across Shiraho survey sites inside and outside Japanese Marine Park Zones.
The project established an early foundation for his later image-based reef research by pairing standardized field imagery with practical questions about coral community condition and marine protected-area context.

A 2019 study examining how Favites abdita and Goniastrea sp. adjust tissue position in response to intense light, and how those movements affect spectral reflectance.
High-resolution video and hyperspectral measurements were used to evaluate rapid photo-behavior in corals collected from contrasting light environments. The work points to tissue movement as a fast, dynamic complement to pigment-based photoacclimation.


Neptune Tide is open to conversations around ocean-science collaboration, field-informed storytelling, and practical ways to make marine research more visible and useful.