Findings in the Area of Machine Learning Reported from Changsha University of Sc ience and Technology (Forest Canopy Height Modelling Based On Photogrammetric Da ta and Machine Learning Methods)

Robotics & Machine Learning Daily News2024，Issue(Jul.10) ：80-80.

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Findings in the Area of Machine Learning Reported from Changsha University of Sc ience and Technology (Forest Canopy Height Modelling Based On Photogrammetric Da ta and Machine Learning Methods)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Hunan, People’s Republic of C hina, by NewsRx editors, research stated, “Forest topographic surveyis a proble m that photogrammetry has not solved for a long time. Forest canopy height is a crucial forestbiophysical parameter which is used to derive essential informati on about forest ecosystems.”

Key words

Hunan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Changsha University of Scienc e and Technology

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出版年

2024

Robotics & Machine Learning Daily News

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