[Esip-machinelearning] Tom Augspurger (Microsoft AI for Earth) @ ESIP ML Cluster Telecon (5/21)

[Cindy Lin]

Dear Cluster/Committee Participants,

This is a gentle reminder that the next meeting for ESIP's Machine Learning
Cluster is happening *today, May 21, 12 pm ET/9 am PT*.

For this week's cluster meeting, we are honored to have *Tom Augspurger *
from *Microsoft AI for Earth* give a talk.


Where:
https://us02web.zoom.us/j/88357173454?pwd=djkvOEx0TTZRekJLWVRHcEMyUitNZz09
<https://www.google.com/url?q=https://us02web.zoom.us/j/88357173454?pwd%3DdjkvOEx0TTZRekJLWVRHcEMyUitNZz09&sa=D&source=calendar&ust=1621714579965000&usg=AOvVaw3HuE9OqMS9xmNDyaK0xEVX>


*Title:* Scalable Geospatial Analysis

*Abstract: *Working with geospatial data can be challenging, regardless of
the scale. We'll see how Microsoft's Planetary Computer is using STAC and
Dask to facility large-scale geospatial data analysis. We'll use the
Planetary Computer's STAC catalog to find the data matching some
conditions, and a Dask cluster to process the data in parallel.

*Bio: *Tom is a software engineer at Microsoft where he’s working on the
Planetary Computer. He’s worked on open-source libraries like pandas, Dask,
and has been involved with the Pangeo community.
https://tomaugspurger.github.io/

Meeting Agenda doc:
https://docs.google.com/document/d/1NrnKP3KUBwKYDyVTXrTVBYg_yH3FmYbzsEiSQ6De5Ro/edit?usp=sharing


Best,

On Mon, May 17, 2021 at 4:32 PM Cindy Lin <cindylky at umich.edu> wrote:

> Dear Cluster/Committee Participants,
>
> This is a gentle reminder that the next meeting for ESIP's Machine
> Learning Cluster is happening this *Friday, May 21, 12 pm ET/9 am PT*.
>
> For this week's cluster meeting, we are honored to have *Tom Augspurger*
>
> from *Microsoft AI for Earth* give a talk.
>
>
> Where:
> https://us02web.zoom.us/j/88357173454?pwd=djkvOEx0TTZRekJLWVRHcEMyUitNZz09
> <https://www.google.com/url?q=https://us02web.zoom.us/j/88357173454?pwd%3DdjkvOEx0TTZRekJLWVRHcEMyUitNZz09&sa=D&source=calendar&ust=1621714579965000&usg=AOvVaw3HuE9OqMS9xmNDyaK0xEVX>
>
>
> *Title:* Scalable Geospatial Analysis
>
> *Abstract: *Working with geospatial data can be challenging, regardless
> of the scale. We'll see how Microsoft's Planetary Computer is using STAC
> and Dask to facility large-scale geospatial data analysis. We'll use the
> Planetary Computer's STAC catalog to find the data matching some
> conditions, and a Dask cluster to process the data in parallel.
>
> *Bio: *Tom is a software engineer at Microsoft where he’s working on the
> Planetary Computer. He’s worked on open-source libraries like pandas, Dask,
> and has been involved with the Pangeo community.
> https://tomaugspurger.github.io/
>
> Meeting Agenda doc:
> https://docs.google.com/document/d/1NrnKP3KUBwKYDyVTXrTVBYg_yH3FmYbzsEiSQ6De5Ro/edit?usp=sharing
>
>
> Best,
> --
> *Cindy Lin*
> phd candidate | school of information + STS
> university of michigan, ann arbor
> cindylin.org
>


-- 
*Cindy Lin*
phd candidate | school of information + STS
university of michigan, ann arbor
cindylin.org
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