Level Two Data
The discussion highlights the challenges of working with level two data, which can be overwhelmingly large, often reaching petabytes. While level two products are essential for analysis, their sheer size raises questions about preservation and usability. HDF5 emerges as a key format, originally developed for earth science data, but its complexity can confuse those unfamiliar with the intricacies of satellite data processing. Understanding the limitations and requirements of these datasets is crucial for effective machine learning applications.In this clip
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Gradient Dissent - A Machine Learning Podcast
Chris Mattmann — ML Applications on Earth, Mars, and Beyond
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