[A-CG35] グローバル炭素循環の観測と解析

[ACG35-P07] Intercomparison of data driven and remote sensing based estimations of terrestrial carbon cycle across Asia and global

*市井 和仁¹、Daniel Henri¹、SHAO SHUAI¹、王 汝慈¹、山本 雄平¹ (1.千葉大学)

キーワード：陸域炭素循環、データ駆動型推定、リモートセンシング

Data-driven estimation of terrestrial carbon cycle is essential approach in the era of earth observation big data. However, there are many uncertainties exist across different approaches. In this study, we used two different approaches of data-driven and remote sensing based estimation of terrestrial carbon cycle, support vector regression and BESS diagnostic models for 2000 to 2020 period. We will discuss how much these two approaches including other available datasets and summarize future challenges of the estimation.