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
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.
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c
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.
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b
Educational Resources on Neural Networks for Ecology and Remote Sensing.
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f
Tutorial of remote sensing and GIS methodologies using open source software in python.
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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."
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Publications
Summary of recent journal publications.
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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
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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
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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.
Writings and Docs:
Talks:
- SEDS SpaceVision - November 2014
- NC Governor's School - July 2015
- New Worlds - October 2015
- USC, Space Studies - December 2015
- TTU SEDS March - 2016
- NewSpace WayPaver Foundation Presentation - June 2016
- NC Governor's School Campus Wide Presentation - Becoming a Spacefaring Species - June 2016
- NC Governor's School Seminar - Lunar Settlement - June 2016
- NC Governor's School Main Presentation - Searching for Life and Spreading our Own - June 2017
- NC Governor's School Seminar/Elective - Exploration as a Mechanism for Survival - June 2017
- UNC SEDS - Vision for Space and Careers within the Industry - November 2017