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UID:pretalx-foss4g-2025-8D7WZ8@talks.staging.osgeo.org
DTSTART;TZID=NZST:20251120T113000
DTEND;TZID=NZST:20251120T115500
DESCRIPTION:This study investigates forest disturbance patterns across Maha
 rashtra using multi-temporal remote sensing data. By analyzing vegetation 
 indices and land surface temperature trends from 2014 to 2024\, the resear
 ch identifies key spatiotemporal shifts in forest cover. The findings cont
 ribute to understanding ecosystem dynamics and support forest management a
 nd conservation strategies.
DTSTAMP:20260428T131842Z
LOCATION:WA220
SUMMARY:Spatiotemporal Analysis of Forest Disturbance Dynamics in Maharasht
 ra Using Remote Sensing Techniques - Komal Rai
URL:https://talks.staging.osgeo.org/foss4g-2025/talk/8D7WZ8/
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