Howdy

Summary:

-PhD Candidate in Marine Science with Dave Johnston in the Marine Robotics and Remote Sensing Center at Duke University
-Curriculum Vitae

Interests:

oceanographic remote sensing of physical-biological interactions
earth system science
machine learning approaches to remote sensing analysis
the intersection of ocean and planetary science
drones and autonomy for ocean science
being outside as much as possible

Name	:	Patrick Gray
Email	:	pgrayobx (at) gmail
Location	:	Durham, NC
LinkedIn	:	Profile
GitHub	:	Code

Work and Focus

I'm currently a PhD student with Dave Johnston in the Marine Robotics and Remote Sensing Lab at the Duke University Marine Laboratory and a Future Investigator in NASA Earth and Space Science and Technology (FINESST).

My doctoral research focuses on satellite and drone based remote sensing of oceans and coasts. My work aims to understand spatial and temporal variability of ocean biology and ecology. Working at the confluence of remote sensing, data science, and biological oceanography I lean heavily on machine learning and scientific computing tools for parsing large amounts of remotely sensed data and connecting satellite, drone, and in-situ oceanographic monitoring. I'm particularly interested in tools and research that will be relevant for Earth science and for exploring other bodies within our solar system.

Before joining the Duke Marine Lab, I worked at Harvard University as a research technician in the deep-sea focused Girguis Lab, served a year and a half as Chief Technology Officer at WayPaver Foundation, and spent time at Moon Express as a Software Engineer developing their ground data systems and engineering team tools. I graduated from the University of North Carolina as a Morehead-Cain Scholar with a degree in Computer Science where I started UNC Students for the Exploration and Development of Space and researched computer vision.

Open Source Coding Projects

Quick overview of open-source projects.

c

Scientific Computing Template

A stock scientific computing and deep learning environment for analysis of remote sensing data using docker conda, and most common tools for machine learning in remote sensing such as keras, scikit-learn, xarray, rasterio, etc.
b

Deep Learning for Ecology

Educational Resources on Neural Networks for Ecology and Remote Sensing.

f

Open Geo Tutorial

Tutorial of remote sensing and GIS methodologies using open source software in python.
m

Automated Cetacean Photogrammetry

Open source code and data for the manuscript "Drones and Convolutional Neural Networks Facilitate Automated and Accurate Cetacean Species Identification and Photogrammetry."

Publications

Summary of recent journal publications.

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

PC Gray, JT Ridge, SK Poulin, AC Seymour, AM Schwantes, JJ Swenson, and DW Johnston

Published in Remote Sensing - 2018
https://doi.org/10.3390/rs10081257
A Convolutional Neural Network for Detecting Sea Turtles in Drone Imagery

PC Gray, AB Fleishman, DJ Klein, MW McKown, VS Bézy, KJ Lohmann, DW Johnston

Published in Methods in Ecology and Evolution - 2018
https://doi.org/10.1111/2041-210X.13132

Drones and Convolutional Neural Networks Facilitate Automated and Accurate Cetacean Species Identification and Photogrammetry

PC Gray, KC Bierlich, SA Mantell, AS Friedlaender, JA Goldbogen, and DW Johnston

Published in Methods in Ecology and Evolution - 2019
https://doi.org/10.1111/2041-210X.13246
Toward Generalized Change Detection on Planetary Surfaces with Convolutional Autoencoders and Transfer Learning

Kerner, H. R., Wagstaff, K. L., Bue, B., Gray, P. C., Bell III, J. F., Ben Amor, H.

Published in Journal of Selected Topics in Applied Earth Observations and Remote Sensing - 2019
https://doi.org/10.1109/JSTARS.2019.2936771

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

JT Ridge, PC Gray, AE Windle, DW Johnston

Published in Remote Sensing in Ecology and Conservation - 2020
https://doi.org/10.1002/rse2.134

Writings and Readings and Talks

My reading history.

In addition to my reading history I've included link to various writings of mine and presentations that may be of interest.

Launching...

Howdy

Summary:

Interests:

Work and Focus

Open Source Coding Projects

c

b

m

Publications

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

A Convolutional Neural Network for Detecting Sea Turtles in Drone Imagery

Drones and Convolutional Neural Networks Facilitate Automated and Accurate Cetacean Species Identification and Photogrammetry

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

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

Writings and Readings and Talks

My reading history.

Writings and Docs:

Talks: