首页|Research from Chinese Academy of Sciences Provides New Study Findings on Machine Learning (Evaluating the Potential of Sentinel-2 Time Series Imagery and Machine Learning for Tree Species Classification in a Mountainous Forest)
Research from Chinese Academy of Sciences Provides New Study Findings on Machine Learning (Evaluating the Potential of Sentinel-2 Time Series Imagery and Machine Learning for Tree Species Classification in a Mountainous Forest)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligence have been presented. According to news reportingoriginating from Changchun, People’s Republic of China, by NewsRx correspondents, research stated,“Accurate and reliable information on tree species composition and distribution is crucial in operationaland sustainable forest management. Developing a high-precision tree species map based on time seriessatellite data is an effective and cost-efficient approach.”
Chinese Academy of SciencesChangchunPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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