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Ongoing project web

拠点形成事業
科研費　基盤研究（S）
PAWCs
推進費SII-8
Our group is looking for new members who would like to do research in our laboratory (graduate students, research students, etc.) or support research such as data analysis (undergraduate to graduate students). We are also happy to accept JSPS PostDoc researchers. If you are interested, please contact us by e-mail.

我々のグループでは、本研究室で研究をしてみたい（大学院生、研究生など）、データ解析など研究のお手伝いをしてみたい（学部生～大学院生他）などの方々を広く募集しています。学振PDなどの受入も大歓迎です。興味があれば、連絡（メール）下さい。

大学院（修士・博士）への入学希望(2025年4月入学or 2024年10月入学)の方々の説明・面談も随時行っております。大学からの入試情報はコチラ。説明会(5月25日)の情報はコチラ。

NEWS (see all)

What's New !

2024/12/26
Suzuki-san's last day

​2024/12/23
修士中間発表会

2024/12/15
​A new Siberia land cover mapping paper is accepted in Progress in Earth and Planetary Science. Congratulations, Munseon and all coauthors !​

2024/11/29
Hirano-san's last day

2024/11/10
Two students from Osaka Metropolitan University visited us and worked data-driven upscaling and GEO-based urban environment monitoring.

2024/11/03
Seven members in lab (Kazu, Yuhei, Beichen, Wei, Rui, Misaki, and Tatsuya) joined AsiaFlux Conference 2024.

Pick up News !

2023/2/27
​Introductory video of our research on geostationary meteorological satellites and land applications. It was made in an easy-to-understand manner for those outside the field. (video in Japanese)

国立大学共同利用・共同研究拠点協議会活動　知の拠点【すぐわかアカデミア。】にて、千葉大学環境リモートセンシング研究センター制作の動画「すぐにわかる静止気象衛星　〜地表を見てみよう〜」が公開されました。リモートセンシング技術・静止気象衛星を用いたモニタリングについて、中学生・高校生等にもわかりやすいようにまとめておりますので、ぜひご覧ください。

すぐにわかる静止気象衛星　〜地球を見てみよう〜
​　出演：市井 和仁 教授、山本 雄平 特任助教

MISSION

MOVIE
Mission of our group is "monitoring and modeling of earth system toward better prediction of our future earth."​ Our approach is to integrate and synthesize of available data and models to understand earth system in more comprehensive ways. Our main target is 'terrestrial biosphere' from regional to global scales. We use network of ground observation (e.g. FLUXNET, AsiaFlux), remote sensing data, numerical models (terrestrial ecosystem models), and atmospheric observations.

RESEARCH

-Environment Monitoring and Modeling Group

Keywords:
Terrestrial Biosphere, Remote Sensing, Model, AsiaFlux,Model-data Integration, Synthesis, Carbon Cycle, Water Cycle, ​Machine Learning

Understandings of Terrestrial CO2 Budget Changes at Global Scales by Synthesis

Using bottom-up approach (e.g ecosystem models) and top-down approaches (e.g. atmospheric inversions), we are working on quantification of terrestrial CO2 budget at various scales (e.g. global, southeast Asia, Asia). These works can become a contribution to global projects such as Future Earth. [Kondo et al. 2018 Nature Comm.; Kondo et al. 2018 GRL; Ichii et al. 2013].

Data-driven estimation of terrestrial CO2 fluxes
​​

 Using FLUXNET/AsiaFlux data, satellite remote sensing data and machine learning technique, we estimate spatial and temporal variation of terrestrial CO2-Energy-H2O fluxes at regional to global scales [Ichii et al. 2017; Kondo et al. 2015; Ueyama et al. 2013; 2014; Saigusa et al. 2010]. 

Development of a Terrestrial CO2 Flux Product for GCOM-C SGLI Sensor

Using a diagnostic terrestrial biosphere model, AsiaFlux/FLUXNET observation network data, our group is developing a terrestrial CO2 flux (GPP, NPP, NEP) product for GCOM-C SGLI sensor (JAXA's satellite). Our product will be an official research products and released to public.

Satellite-based Monitoring of Vegetation Changes from Regional to Continental Scale

Using long-term data of satellite remote sensing, we analyzed and detected vegetation and land cover changes from regional to global scales [e.g. Sekizawa et al. 2015; Ichii et al. 2013; Ichii et al. 2002; Kawabata et al. 2001].
​

Data-Model Integration toward refinement of terrestrial ecosystem models

By integrating satellite data into terrestrial ecosystem model, we estimated unknown ecosystem parameters and successfully improved models. [Kondo et al. 2017; Ichii et al. 2007, 2009]​. 

Top-down and Bottom-up Synthesis toward Better Understandings of Global Carbon Cycle

We are working on synthesis of multiple independent estimations of terrestrial CO2 fluxes. Estimations include top-down approach (atmospheric inversion model) and bottom-up approach (process-based model, data-driven model, satellite products). [Kondo et al. 2015; Ichii et al. 2017].

Earth System Modeling

We demonstrated that future projection of CO2 budget and climate might change if terrestrial carbon cycle model was improved using FLUXNET data. [Suzuki and Ichii, 2010]. We are also working on evaluating ESMs using available RS observation datasets.​

Model-data intercomparison in Asia etc.

We conducted model-data intercomparison project (Asia-MIP, CarboEastAsia-MIP, and Japan-MIP) to test current model performance using multiple models and observation data [Ichii et al. 2013; Ichii et al. 2010].