Findings on Machine Learning Reported by Investigators at South China Normal Uni versity (Scarf: a New Algorithm for Continuous Prediction of Biomass Dynamics Us ing Machine Learning and Landsat Time Series)
Findings on Machine Learning Reported by Investigators at South China Normal Uni versity (Scarf: a New Algorithm for Continuous Prediction of Biomass Dynamics Us ing Machine Learning and Landsat Time Series)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Machine Learning are discuss ed in a new report. According to news originatingfrom Guangzhou, People’s Repub lic of China, by NewsRx correspondents, research stated, “We developedthe SCARF (Spatial Mismatch and Systematic Prediction Error Corrected cAscade Random Fore sts)algorithm for continuous prediction of biomass dynamics using machine learn ing and Landsat Time Series(LTS). Our approach addresses the challenges posed b y the cloudy subtropical forests in southern China,where monitoring biomass dyn amics is notoriously difficult.”
Key words
Guangzhou/People’s Republic of China/A sia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/South China N ormal University
NETL
NSTL