DELTA: An Open-Source Framework to Simplify Machine Learning with Satellite ImageryDELTA (Deep Earth Learning, Tools, and Analysis) is an open-source framework developed at NASA to simplify running and training machine learning (ML) models on satellite imagery. Users new to machine learning can run existing ML models on satellite imagery with minimal setup and configuration. For experienced ML users, DELTA helps simplify data engineering, preprocessing steps, and reduces the need for boilerplate code that needs written to make satellite imagery datasets palatable for machine learning. This lets data scientists focus on model development while DELTA handles the imagery manipulation. This presentation will demonstrate DELTA’s functionality and share some examples from an active project using it for flood mapping using imagery from multiple satellite sources
Document ID
20210019974
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Michael von Pohle (Universities Space Research Association Columbia, Maryland, United States)
Brian James Coltin (Stinger Ghaffarian Technologies (United States) Greenbelt, Maryland, United States)
Scott Thomas Mcmichael (KBR (United States) Houston, Texas, United States)
Date Acquired
August 5, 2021
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Meeting Information
Meeting: American Geophysical Union (AGU) Fall Meeting 2021