Programmatic access to Geospatial Multi-Agency Coordination (GeoMAC) fire data in Python.
The Earth Data Science tools below provide resources to access and work with data using R and Python and to setup
Python environments. Our custom
docker containers are pre-built environments that you can install on your computer that contain all of the software programs, libraries and tools that you need to process specific types of data. We have several pre built docker containers including ones to work with spatial data in
Python. All Earth Lab libraries are open source and permissively licensed.
Many of these tools are open source and permissively licensed.
Programmatic access to digital elevation models and lidar point clouds from OpenTopo with Python.
A suite of Python command-line utilities that makes it easier to manage a class using GitHub classroom.
A python environment for working with earth and environment data.
Infrastructure and operations for the Earth Lab JupyterHubs.
Matplotcheck is a Python package that makes it easier to test plots. It can be used to support autograding Python homework assignments.