10.6084/m9.figshare.5782071.v1 Anne Wilson Anne Wilson Doug Lindholm Doug Lindholm Odele Coddington Odele Coddington Peter Pilewski Peter Pilewski Tom Baltzer Tom Baltzer Chris Pankratz Chris Pankratz A Functional Approach to Hyperspectral Image Analysis in the Cloud, Presented at the Winter 2018 ESIP Meeting ESIP 2018 esip winter 2018 Applied Computer Science Coding and Information Theory Computer Software Interorganisational Information Systems and Web Services Mathematical Software Organisation of Information and Knowledge Resources Web Technologies (excl. Web Search) Instrumentation, Techniques, and Astronomical Observations Climate Change Processes Climate Science Earth Sciences not elsewhere classified Landscape Ecology Environmental Monitoring Ecosystem Function Atmospheric Sciences 2018-01-12 16:43:55 Poster https://esip.figshare.com/articles/poster/A_Functional_Approach_to_Hyperspectral_Image_Analysis_in_the_Cloud_Presented_at_the_Winter_2018_ESIP_Meeting/5782071 The Hylatis project is building a tool set for hyperspectral image analysis in the cloud. Hyperspectral imagery is used across a broad range earth sciences.<div><br></div><div>In particular, we explore representing datasets as scientific domain agnostic, algebraic functions. Leveraging functional programming, this approach eases data interoperability problems, and provides ease of parallelization and proving code correctness.</div>