NEWS (see all)
2019/04/19: 5月27日にJpGUの会場において、ILAMB (International Land Modeling Benchmarking Project)のTutorial Sessionを開催します。講師はILAMBを取り仕切るForrest Hoffman博士と、Nathan Collier氏（ORNL, US)です。皆様の参加をお待ちしております。詳しくはコチラ。
2019/04/16: 5月14日に行われる IPBES総会第7回会合報告会（主催 環境省）において、市井が”地球規模評価報告書に関する専門家所見”として報告を行います。
2019/04/16: K. Ichii will visit Department of Atmospheric Sciences, Yousei University, South Korea (Prof. Jinkyu Hong's group) and give a lecture in the department seminar, titled as "Monitoring and modeling of atmosphere-land CO2 exchanges in Asia"
2019/04/13: Our "Remote Sensing Course" (Master and PhD) have a open-lab on 13:00-16:00, May 11, 2019 in CEReS, Chiba University. Please join ! No reservation is required.
本研究室が所属するリモートセンシングコース（千葉大学大学院・融合理工学府・地球環境科学専攻）では、5月11日（土）13:00-16:00にオープンラボ（説明会）を開催します。興味のある方はぜひいらしてください。予約不要です。
大学院入試に関するポスター（本研究室の小菅生さん作成）も是非ご覧ください。
2019/04/01: 新年度です。特任助教１名、Ｍ１ １名、研究生２名、４年生４名が新たに研究室メンバーとして加入しました。一気に人数も増え、いろいろと研究テーマも広がりそうです！
2019/04/16: 5月14日に行われる IPBES総会第7回会合報告会（主催 環境省）において、市井が”地球規模評価報告書に関する専門家所見”として報告を行います。
2019/04/16: K. Ichii will visit Department of Atmospheric Sciences, Yousei University, South Korea (Prof. Jinkyu Hong's group) and give a lecture in the department seminar, titled as "Monitoring and modeling of atmosphere-land CO2 exchanges in Asia"
2019/04/13: Our "Remote Sensing Course" (Master and PhD) have a open-lab on 13:00-16:00, May 11, 2019 in CEReS, Chiba University. Please join ! No reservation is required.
本研究室が所属するリモートセンシングコース（千葉大学大学院・融合理工学府・地球環境科学専攻）では、5月11日（土）13:00-16:00にオープンラボ（説明会）を開催します。興味のある方はぜひいらしてください。予約不要です。
大学院入試に関するポスター（本研究室の小菅生さん作成）も是非ご覧ください。
2019/04/01: 新年度です。特任助教１名、Ｍ１ １名、研究生２名、４年生４名が新たに研究室メンバーとして加入しました。一気に人数も増え、いろいろと研究テーマも広がりそうです！
MISSION
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
Understandings of Terrestrial CO2 Budget Changes at Global Scales by SynthesisUsing 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
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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 ScaleUsing long-term data of satellite remote sensing, we analyzed and detected vegetation and land cover changes from regional to global scales [Sekizawa et al. 2015; Ichii et al. 2013; Ichii et al. 2002; Kawabata et al. 2001]. |
Data-Model Integration toward refinement of terrestrial ecosystem modelsBy 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].
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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]. |
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]. |
Keywords:
Terrestrial Biosphere, Remote Sensing, Model, AsiaFlux,Model-data Integration, Synthesis, Carbon Cycle, Water Cycle, Machine Learning
Terrestrial Biosphere, Remote Sensing, Model, AsiaFlux,Model-data Integration, Synthesis, Carbon Cycle, Water Cycle, Machine Learning
