Reports Summarize Machine Learning Study Results from University of Northern Bri tish Columbia (Mapping the Normalized Difference Vegetation Index for the Contig uous U.S. Since 1850 Using 391 Tree-Ring Plots)
Reports Summarize Machine Learning Study Results from University of Northern Bri tish Columbia (Mapping the Normalized Difference Vegetation Index for the Contig uous U.S. Since 1850 Using 391 Tree-Ring Plots)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Prince George, Canad a, by NewsRx correspondents, research stated, “The forests and grasslands inthe U.S. are vulnerable to global warming and extreme weather events. Current satel lites do not providehistorical vegetation density images over the long term (mo re than 50 years), which has restricted the documentation of key ecological proc esses and their resultant responses over decades due to the absenceof large-sca le and long-term monitoring studies.”
Key words
University of Northern British Columbia/Prince George/Canada/North and Central America/Cyborgs/Emerging Technologie s/Machine Learning
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NSTL