首页|Beijing Forestry University Researchers Report Recent Findings in Machine Learni ng (Improving Urban Forest Expansion Detection with LandTrendr and Machine Learning)
Beijing Forestry University Researchers Report Recent Findings in Machine Learni ng (Improving Urban Forest Expansion Detection with LandTrendr and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting from Beijing, People ’s Republic of China, by NewsRx journalists, research stated, “Annual urban fore st expansion dynamics are crucial for assessing the benefits and potential issue s associated with vegetation accumulation over time. LandTrendr (Landsat-Based D etection of Trends in Disturbance and Recovery) can efficiently detect the dynam ics of interannual land cover change, but it has difficulty distinguishing urban forest expansion from urban surface rapid conversions, as changes are usually filtered by magnitude-of-change thresholds.”
Beijing Forestry UniversityBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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