Wilson, Anne Lindholm, Doug Coddington, Odele Pilewski, Peter Baltzer, Tom Pankratz, Chris A Functional Approach to Hyperspectral Image Analysis in the Cloud, Presented at the Winter 2018 ESIP Meeting 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> 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
    https://esip.figshare.com/articles/poster/A_Functional_Approach_to_Hyperspectral_Image_Analysis_in_the_Cloud_Presented_at_the_Winter_2018_ESIP_Meeting/5782071
10.6084/m9.figshare.5782071.v1