Earth Lab
- Boulder, Colorado, USA
- https://www.earthdatascience.org/
Grow your team on GitHub
GitHub is home to over 50 million developers working together. Join them to grow your own development teams, manage permissions, and collaborate on projects.
Sign upPinned repositories
Repositories
-
abc-classroom
Tools to automate github classroom and autograding workflows
-
earthpy
A package built to support working with spatial data using open source python
-
matplotcheck
A python package for checking and testing matplotlib plots. We use this for autograding student assignments but there are many other potential use cases including package testing (for packages with plots)!
-
hub-ops
Infrastructure and operations for the Earth Lab JupyterHub
-
streamstats
Python package to interface with the USGS StreamStats API
-
r-python-eds-lessons-env
An R and Python Docker environment to build the earthdatascience.org lessons via CircleCI
-
earthlab.github.io
A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team
-
cft
Climate futures toolbox: easy MACA (MACAv2) climate data access
📦 -
neonhs_classify
classify species using neonhs-derived data
-
earth-analytics-python-env
A conda environment and docker container to support using earth and environmental data in Python.
-
firedpy
A Python CLI for classifying fire events from the Collection 6 MODIS Burned Area Product.
-
el-drones
A hub for all things drones in Earth Lab
-
dockerfiles
Dockerized R and Python environments for Earth Science in the cloud
-
usgs-citations
A repository for USGS Citation Project.
-
edsc-summer-2020
A repository to store teaching notebooks for the Earth Lab earth data science corps.
-
qtoolkit
An R package that allows you to efficiently access, plot and analyze survey data via the Qualtrics API.
-
eds-dev
development-space-for-eds
-
GBDX-stew
Beginning of a collection of helper functions and example notebooks for querying the GBDX platform and working with the data.
-
goesaf
Hourly analysis of GOES active fire data
-
Western_states_daily_PM2.5
Earth Lab's health team project to estimate air pollution exposures across the western U.S. for an 11-year period (2008-2018). R code to execute the machine learning algorithms that will be used to estimate PM2.5.
-
eds-lessons-website
this is where the final rendered markdown files and code triggered images will live
-
ccesonar
Research compendium for California Current Ecosystem sonar + MODIS project
-
aws-ops
Operations and management of Earth Lab AWS resources
-
neon-veg
Linking field-based and airborne data
-
-
NSS-Satellite-Imagery-with-NEON-AOP-Data
Code and instructions for "Satellite Imagery with NEON AOP Data" Working Group at NEON Science Summit