Northeast Forestry University Researchers Target Machine Learning (Inversion of Forest Aboveground Biomass in Regions with Complex Terrain Based on PolSAR Data and a Machine Learning Model: Radiometric Terrain Correction Assessment)

Robotics & Machine Learning Daily News2024，Issue(Jul.5) ：25-26.

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Northeast Forestry University Researchers Target Machine Learning (Inversion of Forest Aboveground Biomass in Regions with Complex Terrain Based on PolSAR Data and a Machine Learning Model: Radiometric Terrain Correction Assessment)

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Abstract

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 Harbin, People’s Rep ublic of China, by NewsRx editors, the research stated, “The accurate estimationof forest aboveground biomass (AGB) in areas with complex terrain is very impor tant for quantifying thecarbon sequestration capacity of forest ecosystems and studying the regional or global carbon cycle.”

Key words

Northeast Forestry University/Harbin/P eople’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learnin g

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出版年

2024

Robotics & Machine Learning Daily News

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