[U-11] Climate change during the Quaternary and Anthropocene

[U11-P08] Evaluating Ecosystem Responses to Extreme Extreme Hydroclimate Events in Lake Suigetsu Using Deep-Learning–Based Diatom Segmentation

*Yusaku Tamura¹, Masayuki Ikeda¹, Megumi Saitou², Takeshi Nakagawa³, Ryuji Tada⁴, Daishi Horiuchi⁵ (1. University of Tokyo, 2. National Museum of Nature and Science, 3. Ritsumeikan University, 4. Chiba Institute of Technology,, 5. Japan Coast Guard Academy)

Keywords:Laku Suigetsu, Quaternary, Diatom, Deep Learning