Sharon Fitzpatrick's Projects
AROSICS - Automated and Robust Open-Source Image Co-Registration Software
A curated list of Google Earth Engine resources
Global shoreline mapping tool from satellite imagery
A conda-smithy repository for coastsat-package.
Batch shoreline extraction toolkit for PlanetScope Dove satellite imagery
Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.
The mapping extension for Zoo; carry out image segmentation on geospatial datasets
A conda-smithy repository for coastseg.
An extension for CoastSeg that uses planet imagery
A repository to host the Journal of Open Source Software manuscript that describes the CoastSeg project
A landing page for the Coast Train project
A short program written in java that simulates three different styles of CPU scheduling. It imitates First Come First Serve(FCFS), High Priority First(HPF), and Round Robin Scheduling. Input is read from a input file called input.txt and the results are outputted to a file called output.txt.
Easily create EO mini cubes from STAC in Python
Doodler. A web application built with plotly/dash for image segmentation with minimal supervision
Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale
Common codes for the Doodler family of tools (Dash-Doodler, and Holo-Doodler)
A conda-smithy repository for doodleverse-utils.
A set of common Doodleverse tools and utilities
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
A Python package for interactive mapping
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
🌐 Local tile server for viewing geospatial raster files with ipyleaflet or folium
Materials for the USGS "Deep Learning for Image Classification and Segmentation" CDI workshop, 2020
This API was developed with Node.JS and utilizes AXIOS to make calls to a movies database api via a url. It also updates and access a local MySQL database based on the axios calls. It parses JSON responses from the Axios API calls into a format that can be stored in the MYSQL database via a prepared statement for added database security.
A small python application that converts npz files generated by a machine learning segmentation process into a json file.