首页|Reports on Machine Learning Findings from Central South University of Forestry & Technology Provide New Insights (Estimating Fine Fuel Load Using Sentinel-2A Imagery and Machine Learning: A Case Study in the Mountainous Forests of Changsha, ...)
Reports on Machine Learning Findings from Central South University of Forestry & Technology Provide New Insights (Estimating Fine Fuel Load Using Sentinel-2A Imagery and Machine Learning: A Case Study in the Mountainous Forests of Changsha, ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingfrom Changsha, People’s Republic of China, by NewsRx journalists, research stated, “Fine fuel load (FFL)is a crucial variable influencing the occurrence of wildfire. Accurate knowledge of the distribution of FFLin mountainous forests is essential for ongoing wildfire risk management and the stability of mountainecosystems.”
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