P. Gray

发表

Deep learning for coastal resource conservation: automating detection of shellfish reefs

Anna E. Windle, D. Johnston, J. Ridge, 2020, Remote Sensing in Ecology and Conservation.

Tiger: Concept Study for a New Frontiers Enceladus Habitability Mission

Chandrakanth Venigalla, Sindhoora Tallapragada, Paula do Vale Pereira, 2021, The Planetary Science Journal.

Robust ocean color from drones: Viewing geometry, sky reflection removal, uncertainty analysis, and a survey of the Gulf Stream front

Anna E. Windle, Z. Johnson, P. Gray, 2022, Limnology and Oceanography: Methods.

A Convolutional Neural Network to Classify Phytoplankton Images Along the West Antarctic Peninsula

P. Gray, S. Nardelli, O. E. Schofield, 2022, Marine Technology Society Journal.

Integrating Drone Imagery into High Resolution Satellite Remote Sensing Assessments of Estuarine Environments

Jennifer J. Swenson, Alexander C. Seymour, David W. Johnston, 2018, Remote. Sens..

Characterizing coastal phytoplankton seasonal succession patterns on the West Antarctic Peninsula

S. Stammerjohn, P. Gray, S. Nardelli, 2023, Limnology and Oceanography.

Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning

Kiri L. Wagstaff, Hannah Rae Kerner, Brian D. Bue, 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A convolutional neural network for detecting sea turtles in drone imagery

David J. Klein, David W. Johnston, Patrick C. Gray, 2018, Methods in Ecology and Evolution.

The Impact of Gulf Stream Frontal Eddies on Ecology and Biogeochemistry near Cape Hatteras

Anna E. Windle, M. Lévy, Z. Johnson, 2023, bioRxiv.

A Gulf Stream cold-core eddy harbors a distinct microbiome compared to environmentally-similar adjacent waters

Z. Johnson, P. Gray, D. Hunt, 2023, bioRxiv.

Drones address an observational blind spot for biological oceanography

P. Gray, Gregory D. Larsen, D. Johnston, 2022, Frontiers in Ecology and the Environment.

Drones and deep learning produce accurate and efficient monitoring of large-scale seabird colonies

P. Gray, S. Crofts, M. Hayes, 2021, Ornithological Applications.

Temporally Generalizable Land Cover Classification: A Recurrent Convolutional Neural Network Unveils Major Coastal Change through Time

Hannah Rae Kerner, Patrick C. Gray, Justin T. Ridge, 2021, Remote. Sens..

Developing a convolutional neural network to classify phytoplankton images collected with an Imaging FlowCytobot along the West Antarctic Peninsula

P. Gray, O. Schofield, S. Nardelli, 2021, OCEANS 2021: San Diego – Porto.

Drones and convolutional neural networks facilitate automated and accurate cetacean species identification and photogrammetry

David W. Johnston, Patrick C. Gray, KC Bierlich, 2019, Methods in Ecology and Evolution.

A Gulf Stream frontal eddy harbors a distinct microbiome compared to adjacent waters

Z. Johnson, P. Gray, D. Hunt, 2023, bioRxiv.