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<p>Woods Hole Data Mongers:</p>
<p>Special seminar and demo tomorrow (Tuesday 23 July) from 9am to
10am in Clark 271:</p>
<p>Scott Henderson (U. Washington eScience Institute and Earth and
Space Sciences Dept.) will present "Pangeo: An open community
platform for big data geoscience analysis and visualization." The
Pangeo project (<a class="moz-txt-link-freetext"
href="http://pangeo.io">http://pangeo.io</a>) is a coordinated
effort with NSF and NASA funding to promote open, reproducible,
and scalable science, with an emphasis on software designed to
take advantage of Cloud services. He'll present computation of
vegetation indices <a moz-do-not-send="true"
href="https://medium.com/pangeo/cloud-native-geoprocessing-of-earth-observation-satellite-data-with-pangeo-997692d91ca2">with
Landsat-8</a>, tracking landslide motion with Sentinel-1, and
monitoring global sea surface height with satellite altimetry.
Talk summary and speaker bio below.</p>
<p>Coffee and donuts thanks to Rich Signell!</p>
<p>Rich adds: Even if you aren't interested in remote sensing or
ocean modeling, this is a great demonstration of how to use the
Python ecosystem to do scalable data-proximate computing.</p>
<p>Best regards,
Stace Beaulieu
Coordinator, WHOI Ocean Informatics
<a class="moz-txt-link-freetext"
href="https://www.whoi.edu/ocean-informatics">https://www.whoi.edu/ocean-informatics</a></p>
<p><br>
--</p>
<p>Title: Pangeo: An open community platform for big data geoscience
analysis and visualization</p>
<p>Summary: NASA has estimated that by 2025, it will be storing
upwards of 250 Petabytes (PB) of its data using commercial Cloud
services [e.g. Amazon Web Services (AWS)]. The Cloud transition
could fundamentally improve our current approach to data
management and also empower researchers with computational tools
that scale with a dataset of any size. The Pangeo project (<a
class="moz-txt-link-freetext" href="http://pangeo.io">http://pangeo.io</a>)
is a coordinated effort with NSF and NASA funding to promote open,
reproducible, and scalable science, with an emphasis on software
designed to take advantage of Cloud services. A major goal of the
project is to provide a consistent user interface (using Jupyter
notebooks) whether operating on your laptop, institutional HPC, or
Cloud provider. In this presentation, Scott will provide an update
on the Pangeo project and illustrate its versatility with several
scientific use-cases: Computation of vegetation indices with
Landsat-8, tracking landslide motion with Sentinel-1, and
monitoring global sea surface height with satellite altimetry.</p>
<p>Speaker: Scott Henderson is a research scientist affiliated with
the University of Washington eScience Institute and Earth and
Space Sciences Department. Scott uses satellite-based synthetic
aperture radar and other remote sensing methods to quantify and
model terrestrial geologic hazards such as landslides and volcanic
activity. He obtained a PhD in Geological Sciences from Cornell
University.</p>
<p>--
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<pre class="moz-signature" cols="72">--
=========================================
Stace E. Beaulieu, Ph.D.
Senior Research Specialist, Biology Dept.
MS #34, Redfield 104
Woods Hole Oceanographic Institution
Woods Hole, MA 02543, USA
Email <a class="moz-txt-link-abbreviated" href="mailto:stace@whoi.edu">stace@whoi.edu</a>
Tel +1 508 289 3536, Skype stace.beaulieu
<a class="moz-txt-link-freetext" href="http://www.whoi.edu/website/sbeaulieu">http://www.whoi.edu/website/sbeaulieu</a>
<a class="moz-txt-link-freetext" href="https://www2.whoi.edu/staff/sbeaulieu/">https://www2.whoi.edu/staff/sbeaulieu/</a>
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