<div dir="ltr"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;font-size:small"><p class="MsoNormal" style="background-image:initial;background-repeat:initial"><b><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51)">Title:</span></b><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51)"> Planetary-Scale Geospatial Analysis with
Google Earth Engine</span></p>
<p class="MsoNormal" style="background-image:initial;background-repeat:initial"><b><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51)">Presenter: </span></b><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51)"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(51,51,51);text-decoration:none">David Thau PhD</span></span></p>
<p class="MsoNormal" style="background-image:initial;background-repeat:initial"><b><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51)">Date:</span></b><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51)"> November 7</span></p>
<p class="MsoNormal" style="background-image:initial;background-repeat:initial"><b><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51)">Registration:</span></b><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51)"> </span><a href="https://attendee.gotowebinar.com/register/3590796428752188161">https://attendee.gotowebinar.com/register/3590796428752188161</a><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51)"></span></p>
<p class="MsoNormal"> </p>
<p class="MsoNormal"><strong><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51);border:1pt none windowtext;padding:0in">Abstract:</span></strong></p>
<p style="margin:0in 0in 8.25pt;line-height:12.6pt;background-image:initial;background-repeat:initial"><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51)">Performing analyses on Earth
observation data at large scales can be a time consuming and lonely task.
Performing a satellite-based global analysis of deforestation, for example,
requires downloading all the necessary satellite data, preprocessing it to suit
a given algorithm or workflow, and then running the analysis on a desktop
computer, or a cluster of CPUs. Depending on the scale of the data, the
complexity of the workflow, and the capacity of the available hardware, each of
these steps could take days, weeks, or years. Google Earth Engine greatly
simplifies and expedites the process of analyzing Earth observation data. The
platform provides a vast catalog of data, APIs for developing algorithms that
can be run across the Google cloud, and tools for visualizing and interacting
with data products via Web interfaces. This talk will introduce Earth Engine,
describe how it works, and provide examples of how it is currently being
applied to perform planetary-scale geospatial analysis.</span></p>
<p style="margin:0in 0in 0.0001pt;line-height:12.6pt;outline:0px;background-image:initial;background-repeat:initial"><strong style="outline:0px"><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51);border:1pt none windowtext;padding:0in">Presenter:</span></strong><span style="font-size:9pt;font-family:Arial,sans-serif;color:rgb(51,51,51)"> <span style="border:1pt none windowtext;padding:0in">David Thau, PhD</span><br>
Dave Thau helps scientists, NGOs, and other partners build software and
algorithms that run on Google Earth Engine, Google's geo analysis platform.
Prior to joining Google, Dave worked for many years helping ecologists and
biodiversity researchers integrate their systems into distributed collaborative
networks. Dave holds degrees from the University of California, Los Angeles,
the University of Michigan, Ann Arbor, and a doctorate in computer science from
the University of California, Davis.</span></p></div><div><div dir="ltr"><div>--------</div>David Alvarez <br><br>“THE FURTHER BACKWARDS YOU LOOK, THE FURTHER FORWARD YOU CAN SEE"<br><br>Winston Churchill</div></div>
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