Data from Southwest Forestry University Provide New Insights into Machine Learni ng (Forest aboveground biomass estimation based on spaceborne LiDAR combining ma chine learning model and geostatistical method)

Robotics & Machine Learning Daily News2024，Issue(Dec.23) ：33-33.

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Data from Southwest Forestry University Provide New Insights into Machine Learni ng (Forest aboveground biomass estimation based on spaceborne LiDAR combining ma chine learning model and geostatistical method)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingout of Kunming, People’s Repu blic of China, by NewsRx editors, research stated, “Estimation of forestbiomass at regional scale based on GEDI spaceborne LiDAR data is of great significance for forest qualityassessment and carbon cycle.”

Key words

Southwest Forestry University/Kunming/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learni ng

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出版年

2024

Robotics & Machine Learning Daily News

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