Report

JpGU (Japan Geophysical Union) 2023 Conference Group Presentation List

In JpGU 2023, Makuhari, our group will have 13 presentations. 
You can find more detailed information from JpGU Website.

May 24
【Session ACG36 Geostationary Satellite (conveners: Yamamoto, Miura@UnivHawaii, Ichii) 】

  • 14:15-14:30 Li Wei, Himawari8/AHI land surface reflectance estimation and preliminary evaluation
  • 14:30-14:45 Zhang Beichen, Evaluation of Himawari-8/AHI surface reflectance using LEO sensors with off-nadir observation mode for terrestrial monitoring applications
  • 15:45-16:00 Yuhei Yamamoto, Utilizing Himawari-8 Land Surface Temperatures to Detect Vegetation Drying
  • 15:30-16:45 Ram C. Sharma, Retrievals of LAI and FPAR from Himawari-8/9 Observations at Diurnal and Sub-diurnal time-scales and Operational Mapping in Asia-Pacific Region

【Session ACG46 北極圏の科学】

  • 16:30-16:45 Beak Munseon, 全球土地被覆融合によるシベリア全域の新たな土地被覆プロダクトの生成

May 25
【Session ACG35 Global Carbon Cycle (conveners: Ichii, Patra@JAMSTEC, Itoh@NIES) 】

  • 9:30-9:45 Takuto Taguchi, Impact of anomalous high temperature in the 2020 spring-summer season on the terrestrial carbon cycle in Russia
  • 10:00-10:15 Daniel Henri, Analyzing the Effect of Different MODIS Product Versions Towards Long-term Terrestrial Carbon Cycle Monitoring in Asia
  • 16:15-16:30 Hina Yamanuki, Effects of soil properties in estimating soil respiration and methane absorption

ポスター発表

ACG-36

  • Kazuhito Ichii: How does hyper-temporal observation of terrestrial surface by geostationary satellites improve understanding of terrestrial ecosystems?
  • Shogo Sumii: Estimation of diurnal variation in terrestrial gross primary productivity across semi-arid ecosystems using Himawari-8
  • Wen Yueru: Estimation of Surface Reflectance of Fengyun-4A/AGRI for Terrestrial Monitoring

A-CG35

  • Ruci Wang: Assessment of a process-based terrestrial carbon cycle model, VISIT, using multiple data-driven estimations
  • Kazuhito Ichii: Analyzing changes in terrestrial carbon cycle using a terrestrial carbon cycle model, VISIT and an inversion based estimation