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DTSTART:20230312T070000
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DTSTART;TZID=America/Toronto:20230731T150000
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URL:https://uwaterloo.ca/computer-science/events/masters-thesis-presentatio
 n-artificial-intelligence-on-the-data-quality-of-remotely-sensed-forest-ma
 ps
LOCATION:200 University Avenue West Online master’s thesis presentation W
 aterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation • Artificial Intelligence • On t
 he\nData Quality of Remotely Sensed Forest Maps
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS MASTER’S THESIS PRESENTATION WILL TAKE PLAC
 E\nONLINE.\n\nSHADI GHASEMITAHERI\, MASTER’S CANDIDATE\n_David R. Cherit
 on School of Computer Science_\n\nSUPERVISOR: Professor Lukasz Golab\n\nAc
 curate forest monitoring data are essential for understanding and\nconserv
 ing forest ecosystems. However\, the remoteness of forests and\nthe scarci
 ty of ground truth make it hard to identify data quality\nissues.
DTSTAMP:20260409T090435Z
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