首页|Masaryk University Reports Findings in Machine Learning (High spatial and spectr al resolution dataset of hyperspectral look-up tables for 3.5 million traits and structural combinations of Central European temperate broadleaf forests)
Masaryk University Reports Findings in Machine Learning (High spatial and spectr al resolution dataset of hyperspectral look-up tables for 3.5 million traits and structural combinations of Central European temperate broadleaf forests)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Brno, Czech Re public, by NewsRx journalists, research stated, “Accurate retrieval offorest fu nctional traits from remote sensing data is critical for monitoring forest healt h and productivity.To achieve sufficient accuracy using inverse methods it is e ssential to have representative database ofsimulated or measured spectral prope rties together with corresponding forest traits.”
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