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\begin{document}

\title{DELTA: An Open-Source Framework to Simplify Machine Learning with
Satellite Imagery}



\author[1]{Michael von Pohle}%
\author[2]{Brian Coltin}%
\author[2]{Scott McMichael}%
\affil[1]{NASA Ames Research Center [USRA]}%
\affil[2]{NASA Ames Research Center}%


\vspace{-1em}



  
  \date{June 15, 2024}


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\begin{abstract}
DELTA (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.%
\end{abstract}%



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