Name: Tyler Erickson
Type: User
Company: https://github.com/vorgeo
Bio: Sustainability & Climate Change | Earth Observation | Geospatial Cloud Computing | Data Science & Analytics | Machine Learning | Developer Relations | Educator
Twitter: tylerickson
Location: Los Altos, California
Tyler Erickson's Projects
Example Jupyter Notebooks, including ones that use the Earth Engine Python API
Tyler's workspace for Jupyter Notebooks for various projects
The EEFAbook content, ported to use the Earth Engine Python API.
A collection of Jupyter/IPython notebooks for the 2017 Earth Engine User Summit Python API session.
Configuration files for a JupyterHub server for the 2018 Earth Engine User Summit.
Jupyter notebooks for the Python session of the 2018 Earth Engine User Summit.
Content for my EGU 2018 presentations.
[Active Development] Earth Observation API (STAC + dynamic Raster/Vector Tiler)
Jupyter Notebooks for the Earth Engine / Jupyter session at the 2018 ESIP Summer Meeting (http://meetings.esipfed.org).
ESIPhub pilot materials
Trying out FastAPI
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Automatically exported from code.google.com/p/fmask
SAR Handbook materials - Chapter 4
A collection of IPython Notebooks used in teaching an Earth Engine workshop at Geo for Good 2014.
Install and configure open source geospatial packages.
This document aims to provides a geospatial extension to the Zarr specification. Zarr specifies a protocol and format used for storing Zarr arrays, while the present extension defines conventions and recommendations for storing multidimensional georeferenced grid of geospatial observations (including rasters).
Scripts used to compare GEE and NDVI estimates of green space
A conda-smithy repository for h5py.
Repo for Hamel's Professional Website
A Jupyter - Leaflet.js bridge
A conda-smithy repository for ipython.
misc IPython Notebooks
A conda-smithy repository for ipywidgets.
Content presented at JupyterCon 2023.
Content for my JupyterCon 2018 presentation.
Experiments related to getting JupyterLab and Earth Engine to work together.