BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.osgeo.org//foss4g-2026//talk//T9MXUP
BEGIN:VTIMEZONE
TZID:JST
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1
TZNAME:JST
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-foss4g-2026-T9MXUP@talks.osgeo.org
DTSTART;TZID=JST:20260901T160000
DTEND;TZID=JST:20260901T163000
DESCRIPTION:Introducing a deep learning-based rooftop solar model using ope
 n remote sensing data and OpenStreetMap. We will explain the design of the
  model and demonstrate its use in the Climate Action Navigator.
DTSTAMP:20260604T233719Z
LOCATION:Conference Management Room1
SUMMARY:Detecting Rooftop Solar Panels with Deep Learning\, using Open Remo
 te Sensing Data and OpenStreetMap - Danielle\, Gefei Kong
URL:https://talks.osgeo.org/foss4g-2026/talk/T9MXUP/
END:VEVENT
END:VCALENDAR