Getting Started

This Guide is intended as an initial walk-through of the MAAP platform from registering an account to running an Algorithm in the Data Processing System (DPS). It gives a brief overview of many of the capabilities and concepts of the MAAP platform.

Getting Started:

• About the Multi-Mission Algorithm and Analysis Platform (MAAP)
• An overview of the MAAP platform
• Setting up your account and workspace
  • Signing up for an Earthdata Login account
  • Signing up for a new MAAP account
  • Logging in
  • Creating a workspace
  • Jupyter Interface overview
  • MAAP Storage Options
• Writing and Managing Code with MAAP
  • Working with code repositories like GitHub and GitLab
  • Testing an Algorithm in the Workspace
  • Customizing your Workspace Environment
  • Using maap.py to access MAAP functionality from Python notebooks
  • Helpful Templates while developing Algorithms in MAAP
  • Registering the Algorithm
• Running Algorithms at Scale
  • Register an Algorithm
  • Run the Algorithm as a Job and Monitor it
  • Scaling Up
• Conclusion