Patrick Gray

open-geo-tutorial. Tutorial of fundamental remote sensing and GIS methodologies using open source software in python

awesome-deep-ecology. A curated list of deep learning papers in ecology.

deep_learning_ecology. Educational Resources on Neural Networks for Ecology and Remote Sensing

cetacean_photogram. Measuring Cetaceans from Remotely Sensed Data (mostly UAS)

cnn_sea_turtle_detection. Code for Methods in Ecology and Evolution paper: "A Convolutional Neural Network for Detecting Sea Turtles in Drone Imagery"

landcover_rcnn. Code for spatially and temporally generalizable regional land cover mapping

sci_compute_env. A Stock Scientific Computing / Deep Learning Environment for Analysis of Remote Sensing Data

oyster_net. Code for "Deep learning for coastal resource conservation: automating detection of shellfish reefs" manuscript.

Bass_Connections. Deep Learning and Remote Sensing for Coastal Resilience and Disaster Response (2019-2020)

inverse_modeling. Jupyter Notebook

sat_ocean_color. Jupyter Notebook

deep_learning-remote_sensing-coastal_monitoring. Website of Duke Bass Connections project for monitoring land cover dynamics in the coastal Southeast US.

sif_analysis. Exploring TROPOMI SIF products, quality, and drivers in the Amazon using python, xarray, scikit-learn, pyGAM, etc

gulf_stream_productivity_dynamics. Leveraging satellite data and pangeo to investigate the role of Gulf Stream frontal dynamics in ocean productivity

patrickcgray.

ml_in_ocean_rs. Jupyter Notebook

ocean_rs_tools. processing landsat 8 and 9 aquatic reflectanc products

tara_data_exploration. investigating Tara inline optical data in comparison to satellite based physical features - mainly Gulf Stream

oceanoptics2021. Jupyter Notebook

geospatial. Random Geospatial Visualizations and Tools

sierra_mfc_controller. Python Controller for Sierra Instruments Mass Flow Controller

girguis-isms. Code for calibrating the Girguis In-Situ Mass Spec