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SUMMARY:ENAC Seminar Series by Prof. D. Tuia
DTSTART:20190313T090000
DTEND:20190313T100000
DTSTAMP:20260527T162540Z
UID:e3dcf853932b4c17250d659ad98058a370b01b61c249da94b93220b7
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. D. Tuia\n9:00 – 10:00 – Prof. Devis Tuia\nLaboratory
  of GeoInformation Science and Remote Sensing\, Wageningen University\, th
 e Netherlands\n\nMachine learning and Earth Observation for the environmen
 t  \n\nEarth observation is on the rise. Digital images of the Earth surfa
 ce are nowadays heavily used in the scientific world\, but have also penet
 rated our daily life via navigation systems\, mass media and mobile techno
 logy. This is due to the massive increase of satellite data and to the  d
 emocratization of drones technology. This data availability brings the pro
 mise of monitoring the environment in unprecedented spatial and temporal d
 etails.\n\nHowever\, given the volumes of data acquired\, as well as their
  heterogeneity and complexity\, new powerful information extraction models
  are required to convert the data into relevant information. In this talk\
 , Prof. Tuia will present recent advances in environmental modeling happen
 ing at the interface between machine learning and Earth observation\, disc
 uss new challenges and stress the importance of human-machine interaction.
  With examples issued from automated wildlife censuses and digital humanit
 arianism\, he will present the federative aspect of being a remote sensing
  data scientist.
LOCATION:CE 1 2 https://plan.epfl.ch/?room==CE%201%202
STATUS:CONFIRMED
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