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BEGIN:VEVENT
UID:ba858f4491297af64ea66b20df9226f287832e40@swoogo.com
DTSTAMP:20260717T060050Z
DESCRIPTION:This presentation covers how advanced machine learning algorith
 ms can analyze large volumes of satellite imagery and remote sensing data 
 to support tasks like land cover change detection\, flood detection\, and 
 environmental monitoring.\n\nIt highlights real-world applications\, chall
 enges such as data quality and model interpretability\, and the future pot
 ential of AI-driven Earth observation.\n\nA case study will illustrate how
  machine learning improves our ability to extract valuable insights from g
 eospatial data for informed decision-making.
DTSTART:20251106T131500Z
DTEND:20251106T134500Z
LAST-MODIFIED:20260717T060050Z
LOCATION:
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:Machine Learning on Earth Observation Data: Unlocking Insights from
  Space
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:<p>This presentation covers how advanced machi
 ne learning algorithms can analyze large volumes of satellite imagery and 
 remote sensing data to support tasks like land cover change detection\, fl
 ood detection\, and environmental monitoring.</p>\n\n<p>It highlights real
 -world applications\, challenges such as data quality and model interpreta
 bility\, and the future potential of AI-driven Earth observation.</p>\n\n<
 p>A case study will illustrate how machine learning improves our ability t
 o extract valuable insights from geospatial data for informed decision-mak
 ing.</p>
BEGIN:VALARM
UID:32323865-3139-4838-a433-646335376438
ACTION:DISPLAY
DESCRIPTION:This presentation covers how advanced machine learning algorith
 ms can analyze large volumes of satellite imagery and remote sensing data 
 to support tasks like land cover change detection\, flood detection\, and 
 environmental monitoring.\n\nIt highlights real-world applications\, chall
 enges such as data quality and model interpretability\, and the future pot
 ential of AI-driven Earth observation.\n\nA case study will illustrate how
  machine learning improves our ability to extract valuable insights from g
 eospatial data for informed decision-making.
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