[gdal-dev] Fwd: Gecomputation web-seminars (GDAL, PKTOOLS, GRASS, HPC)

Fri May 8 10:38:39 PDT 2020

---------- Forwarded message ---------
From: Giuseppe Amatulli <giuseppe.amatulli at gmail.com>
Date: Fri, 8 May 2020 at 13:35
Subject: Gecomputation web-seminars (GDAL, PKTOOLS, GRASS, HPC)
To: <geoforall at lists.osgeo.org>

Dear Colleagues,
In reference to the Gecomputation web-seminars starting on Monday, May 11th
2020, below you can find the youtube hyperlink for the live streaming.
After the event, the youtube videos will be linked to my youtube channel
<https://www.youtube.com/channel/UCbDBJoGr8ojUklD27AKvvSw/videos?view_as=subscriber>
.
Please register if you want to follow via zoom and also if you want have
the instructions to access to the Linux Virtual Machine.
Please disseminate.
Best regards
Giuseppe Amatulli

---------- Forwarded message ---------
From: Giuseppe Amatulli <giuseppe.amatulli at gmail.com>
Date: Thu, 30 Apr 2020 at 11:45
Subject: Gecomputation web-seminars (GDAL, PKTOOLS, GRASS, HPC)
To: <spatial-ecology at lists.osgeo.org>

Dear Colleagues,

During the second week of May (Eastern Daylight Time), I will be teaching 4
web-seminars for enhancing *gecomputation skills to process large
geographic data*.
Each of these seminars will be held in both *English* and *Spanish*.
Participants will be given access to a cloud-based Linux virtual machine
that can be reached via an SSH tunnel.
Please distribute the details of these seminars among your colleagues and
students.

To view this email as a web page, go here.
<https://view.S10.exacttarget.com/?qs=19041bfa7521d2e931fc72d14ad1a14844ed5d698621a8cc5d6c34b29adec9b14f4d6bc8db15f1b08df380850cc0002c6e8b75eed41f67a60b8eabb984d4e341772e26106ea8d753f2939d3fbde912f6>
[image: Yale Center for Research Computing]

Raster/Vector Processing using GDAL/OGR
<http://cl.S10.exct.net/?qs=a85f232b8a2b9a5648ebf788c5a48f0b32b9687162c7cc16377a075daf4795bd4e5655083687663d31cb0bd576d6f5e7ffe32c39b6038c0b5615a3db185efdcd>
may 11, 2020
9:00 - 11:30 AM EDT
(IN ENGLISH, VIA ZOOM: register; VIA YOUTUBE <https://youtu.be/TPJm7fhBTDQ>)
1:00 - 3:30 PM EDT
(En Español, via zoom: REGISTER; Via YOUTUBE <https://youtu.be/NGLEOznOFn0>)

The workshop covers geo-data processing tasks: cropping and re-projecting,
mosaicing, and filtering images, and how to script processes for complex
geo-functions.
REGISTER
<http://cl.S10.exct.net/?qs=a85f232b8a2b9a5661ad07e9a8bc054b761b52265cf3d9e2eed5404ee84b0fdd3d0cbff2f896ca6ae9bd8cbaf81cbe733405accee86530b5140cb11a1c49cfe8>
[image: Globe with GDAL logo]
Image Processing using Pktools
<http://cl.S10.exct.net/?qs=a85f232b8a2b9a563645cf07ff61648d66e5cff64d0d6fcbb36789065b1a672af3a7ed476118fa3ce91f73f682bb1d99943ee5cdb66dd897f85621faa5abc92a>
may 12, 2020
9:00 - 11:30 AM EDT
(IN ENGLISH, Via Zoom: REGISTER; Via YOUTUBE <https://youtu.be/xhnfYZ_ei4E>)
1:00 - 3:30 PM EDT
(En Español, via zoom: REGISTER; Via YOUTUBE <https://youtu.be/YzfuN0Q5q3o>)
This workshop will focus on Processing Kernel for geospatial data (Pktools)
to perform remote sensing image analysis. The workshop will include
examples of mosaicing, filtering, histogram, masking, and raster
re-classification.
REGISTER
<http://cl.S10.exct.net/?qs=a85f232b8a2b9a56f0079c6f30e5d37805e245e6c7596fe075f336e37b313d82da808246fa8168bb7e52e8c213249fa4b4f1aef0fe08dacef658cd3f4d402f8a>
[image: Globe with Pktools logo]
Introduction to GRASS GIS
<http://cl.S10.exct.net/?qs=a85f232b8a2b9a56a12ee181e58dd9a60186607cc65af10fe32b61ccb07db501f4b95d210ef27b22cea6da00c624720d2e13cc4b75ea4ace0ad40f57ea1a0c65>
may 13, 2020
9:00 - 11:30 AM EDT
(IN ENGLISH, Via Zoom: REGISTER; Via YOUTUBE <https://youtu.be/VDsVcijsrkg>)
1:00 - 3:30 PM EDT
(En Español, via zoom: REGISTER; Via YOUTUBE <https://youtu.be/o9rIq0JBbT8>)
This workshop introduces students to the powerful GRASS GIS software to
manipulate raster and vector data, and covers using the graphical user
interface and simple Bash scripts to automate many common geo-data
processing tasks such as cropping and re-projecting images, and how to
script processes for complex geo-functions.
REGISTER
<http://cl.S10.exct.net/?qs=a85f232b8a2b9a56860922368c969e67b08909d6ebd19464e5611220722973629abc57276f8c68d1e0d8b3cf38e9d8d83eb9e97091198dd94768eeb8b4441e15>
[image: Globe with GRASS logo]
GeoComputation with High Performance Computing
<http://cl.S10.exct.net/?qs=a85f232b8a2b9a567652106f032c4bc2c42e5dbc587878576a027f7eefd9d45b13b4fa91430c9bb976b612956b8723f2fdbff99b716782971254aa3f0590883e>
may 14, 2020
9:00 - 11:30 AM EDT
(IN ENGLISH, Via Zoom: REGISTER; Via YOUTUBE <https://youtu.be/gcQ_74v87xk>)
1:00 - 3:30 PM EDT
(En Español, via zoom: REGISTER; Via YOUTUBE <https://youtu.be/KXiVF0l59Ok>)
This workshop introduces students to perform Geocomputation analysis in
High Performance Computing (HPC) that use the Slurm queuing system. Using
simple Bash scripts, we will show four main ways to tile an image, perform
a filter operation and reassemble back the image.
REGISTER
<http://cl.S10.exct.net/?qs=a85f232b8a2b9a5648b1a8e5b0ad31206355cb842fa0bf4c1f5a459c2cadb70e019f27184cd37d0606dae6dcbb4fcc4b9db7a872d89700758be63db7b55df9cd>
[image: Globe with Bash logo]

[image: Yale University]
<http://cl.S10.exct.net/?qs=a85f232b8a2b9a56d7821406633c8f9a035bac975b7646346f3210b8b1f8238eddf959b5a6d9cdbd70dd2b452160ab846bb3f14dc5e32c5f>
Yale Center for Research Computing: research.computing at yale.edu.
Copyright © 2020 Yale University • All rights reserved
[image: Twitter]
<http://cl.S10.exct.net/?qs=a85f232b8a2b9a56895ad533ef9de2d9fadd83007501cac7385ce0859509fb4c91ed32f11d1d60820eedbf37cbe01d3dc37555f2f1010374>
Twitter
<http://cl.S10.exct.net/?qs=a85f232b8a2b9a56895ad533ef9de2d9fadd83007501cac7385ce0859509fb4c91ed32f11d1d60820eedbf37cbe01d3dc37555f2f1010374>

-- 
Giuseppe Amatulli, Ph.D.

Research scientist at
School of Forestry & Environmental Studies
Center for Research Computing
Yale University
New Haven, CT, USA
06511
Teaching: http://spatial-ecology.net
Work:  https://environment.yale.edu/profile/giuseppe-amatulli/

-- 
Giuseppe Amatulli, Ph.D.

Research scientist at
School of Forestry & Environmental Studies
Center for Research Computing
Yale University
New Haven, CT, USA
06511
Teaching: http://spatial-ecology.net
Work:  https://environment.yale.edu/profile/giuseppe-amatulli/
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