BEGIN:VCALENDAR CALSCALE:GREGORIAN VERSION:2.0 PRODID:-//Events Calendar//iCal4j 1.0//EN BEGIN:VTIMEZONE TZID:America/Los_Angeles LAST-MODIFIED:20260306T231828Z TZURL:https://www.tzurl.org/zoneinfo/America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles X-PROLEPTIC-TZNAME:LMT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-075258 TZOFFSETTO:-0800 DTSTART:18831118T120702 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19180331T020000 RRULE:FREQ=YEARLY;UNTIL=19190330T100000Z;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19181027T020000 RRULE:FREQ=YEARLY;UNTIL=19191026T090000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:PWT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19420209T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PPT TZOFFSETFROM:-0700 TZOFFSETTO:-0700 DTSTART:19450814T160000 END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19450930T020000 RDATE:19490101T020000 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19480314T020100 RDATE:19740106T020000 RDATE:19750223T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19500430T010000 RRULE:FREQ=YEARLY;UNTIL=19660424T090000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19500924T020000 RRULE:FREQ=YEARLY;UNTIL=19610924T090000Z;BYMONTH=9;BYDAY=-1SU END:STANDARD BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19621028T020000 RRULE:FREQ=YEARLY;UNTIL=20061029T090000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19670430T020000 RRULE:FREQ=YEARLY;UNTIL=19730429T100000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19760425T020000 RRULE:FREQ=YEARLY;UNTIL=19860427T100000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19870405T020000 RRULE:FREQ=YEARLY;UNTIL=20060402T100000Z;BYMONTH=4;BYDAY=1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:20070311T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:20071104T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260723T082458Z DTSTART;TZID=America/Los_Angeles:20260826T050000 DTEND;TZID=America/Los_Angeles:20261007T233000 SUMMARY:The ArcGIS Imagery MOOC: Foundations and Frontiers LAST-MODIFIED:20260723T082458Z LOCATION:Online at Esri Academy TZID:America/Los_Angeles UID:message-233 DESCRIPTION:Click the link below to go to the event page:\nhttps://communit y.esri.com/t5/esri-young-professionals-network-events/the-arcgis-imagery-m ooc-foundations-and-frontiers/ec-p/1711793#M233\n\nUnlock the synergy of G IS and imagery. Explore modern workflows that integrate imagery\, remote s ensing\, and geospatial data using advanced GIS tools. This seminar covers essential concepts\, real-world use cases\, and hands-on techniques to he lp you transform raw imagery into meaningful insights. Learn how to acquir e\, manage\, analyze\, and visualize data in powerful 2D and 3D environmen ts\, leveraging ArcGIS capabilities and AI‑enhanced workflows to create ri cher\, more informative geospatial products that support better decision‑m aking.   Register today →  Registration closes September 10\, 2026\, at 11 :59 p.m. (Pacific time)   Goals Explore authoritative sources to acquire i magery and scal able management options in ArcGIS that streamline imagery access and sharing across an organization. Analyze hyperspectral\, time-en abled\, synthetic aperture radar (SAR)\, and oriented imagery to  create h ighly realistic visualizations and gain insights that drive faster respons e and more efficient operations. Automate time-consuming workflows by appl ying geospatial artificial intelligence (GeoAI) tools and deep learning to classify landcover and detect change. Understand how imagery enhances GIS workflows and how GIS enhances imagery workflows.   Course Details This c ourse includes demos and Q&A led by Esri experts.  Duration: 6 weeks (2-3 hours of study per week) Cost: $0 (No-cost) When: August 26-October 7\, 2 026 X-ALT-DESC;FMTTYPE=text/html:

Click the link below to go to the event pag e:


https://community.esri.com/t5/esri-young-professionals-network-e vents/the-arcgis-imagery-mooc-foundations-and-frontiers/ec-p/1711793#M233< /A>

rover-1200x628-6.jpg

Unlock the synergy of GIS and i magery.

Explore modern workflows that integrate im agery\, remote sensing\, and geospatial data using advanced GIS tools. Thi s seminar covers essential concepts\, real-world use cases\, and hands-on techniques to help you transform raw imagery into meaningful insights. Lea rn how to acquire\, manage\, analyze\, and visualize data in powerful 2D a nd 3D environments\, leveraging ArcGIS capabilities and AI‑enhanced workfl ows to create richer\, more informative geospatial products that support b etter decision‑making.

 \;

Register today \;→ \;
Registration closes September 10\, 2026\, at 11:59 p.m. (Pacific time)

 \;

Goalsmooc-imagery25-120 0x600-4.jpg

Explore \;authorit ative sources to acquire imagery and scal

able manageme nt options in ArcGIS that streamline imagery access and sharing across an organization.

Analyze \;hyperspect ral\, time-enabled\, synthetic aperture radar (SAR)\, and oriented imagery to

 \;create highly realistic visualizations and g ain insights that drive faster response and more efficient operations.

Automate \;time-consuming workflows b y applying geospatial artificial intelligence (GeoAI) tools and deep learn ing to classify landcover and detect change.

Un derstand \;how imagery enhances GIS workflows and how GIS enh ances imagery workflows.

 \;

Course Details
This course includes&n bsp\;demos and \;Q&\;A led by Esri experts. \;

END:VEVENT BEGIN:VTIMEZONE TZID:America/Los_Angeles LAST-MODIFIED:20260306T231828Z TZURL:https://www.tzurl.org/zoneinfo/America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles X-PROLEPTIC-TZNAME:LMT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-075258 TZOFFSETTO:-0800 DTSTART:18831118T120702 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19180331T020000 RRULE:FREQ=YEARLY;UNTIL=19190330T100000Z;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19181027T020000 RRULE:FREQ=YEARLY;UNTIL=19191026T090000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:PWT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19420209T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PPT TZOFFSETFROM:-0700 TZOFFSETTO:-0700 DTSTART:19450814T160000 END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19450930T020000 RDATE:19490101T020000 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19480314T020100 RDATE:19740106T020000 RDATE:19750223T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19500430T010000 RRULE:FREQ=YEARLY;UNTIL=19660424T090000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19500924T020000 RRULE:FREQ=YEARLY;UNTIL=19610924T090000Z;BYMONTH=9;BYDAY=-1SU END:STANDARD BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19621028T020000 RRULE:FREQ=YEARLY;UNTIL=20061029T090000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19670430T020000 RRULE:FREQ=YEARLY;UNTIL=19730429T100000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19760425T020000 RRULE:FREQ=YEARLY;UNTIL=19860427T100000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:19870405T020000 RRULE:FREQ=YEARLY;UNTIL=20060402T100000Z;BYMONTH=4;BYDAY=1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:PDT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 DTSTART:20070311T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:PST TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:20071104T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260723T082458Z DTSTART;TZID=America/Los_Angeles:20260923T050000 DTEND;TZID=America/Los_Angeles:20261104T233000 SUMMARY:Fall MOOC! Spatial Data Science: The New Frontier in Analytics LAST-MODIFIED:20260723T082458Z LOCATION:Online at Esri Academy TZID:America/Los_Angeles UID:message-234 DESCRIPTION:Click the link below to go to the event page:\nhttps://communit y.esri.com/t5/esri-young-professionals-network-events/fall-mooc-spatial-da ta-science-the-new-frontier-in/ec-p/1711967#M234\n\nUse location to find p atterns and tackle complex problems.   Learn how spatial data science help s analysts uncover deeper insights by applying advanced spatial analytics\ , machine learning\, and deep learning techniques. This course examines ho w to identify hidden patterns and improve predictive modeling using spatia l data. You’ll gain hands-on experience with analytical tools in ArcGIS an d learn how to integrate widely used open data science packages to enhance your workflows and create more powerful\, data‑driven analyses.   Course Details Duration: 6 weeks (2-3 hours of study per week) When: September 23 - November 4\, 2026 Cost: $0 (No-cost) Register by Oct. 8 →   Goals Understand how spatial data science helps uncover hidden patterns. Use Arc GIS data engineering methods and visualization tools to prepare data for s patial analysis. Gain hands-on experience performing suitability analysis\ , predictive modeling\, space-time pattern mining\, and object detection. Communicate analysis results and insights using engaging and compelling Ar cGIS StoryMaps.     The course includes: ArcGIS Pro\, ArcGIS Online\, Ar cGIS Notebooks\, ArcGIS Spatial Analyst\, and ArcGIS Image Analyst softwar e Step-by-step exercises\, videos by Esri experts\, quizzes\, and discussi on Registration closes October 8\, 2026\, at 11:59 p.m. (Pacific time) X-ALT-DESC;FMTTYPE=text/html:

Click the link below to go to the event pag e:


https://community.esri.com/t5/esri-young-professionals-network- events/fall-mooc-spatial-data-science-the-new-frontier-in/ec-p/1711967#M23 4

spatial-data-science-mooc-1200x600-1d (1) .jpg

Use locat ion to find patterns and tackle complex problems.

 \;
Learn how spatial data science helps analysts uncover de eper insights by applying advanced spatial analytics\, machine learning\, and deep learning techniques. This course examines how to identify hidden patterns and improve predictive modeling using spatial data. You’ll gain h ands-on experience with analytical tools in ArcGIS and learn how to integr ate widely used open data science packages to enhance your workflows and c reate more powerful\, data‑driven analyses.
 \;

Course Details

Regis ter by Oct. 8 → \; \;

Goals

 \;

spatial-data-science-mooc-1200x257-4d.jpg

 \;

The course includes:

Registration clos es October 8\, 2026\, at 11:59 p.m. (Pacific time)

END:VEVENT END:VCALENDAR