The 3rd Ocean Carbon from Space (SatCO2): Joint Science Workshop and Training
Ocean carbon cycle and ocean acidification have drawn substantial great concerns both in scientific researches and public attentions. To quantify, understand and predict the changing of ocean carbon system, especially in the highly dynamic marginal sea, it requires multiple observations with various spatial-temporal scales. Among all available observations, it is widely accepted that satellite remote sensing is a critical observational resource at a large spatial-temporal scale. It has also been demonstrated as a powerful application in marine carbon research. Yet, the limited parameters and interpretations of current satellite products remain a big gap to link the observations to studies on biogeochemical processes and their response to the global change.
The SatCO2 series workshop was jointly initiated by researchers from remote sensing and biogeochemistry to address the concerns about the ocean carbon cycle and ocean acidification. The purpose of the SatCO2 series workshops is to take full advantages of various background researchers to address the common concerned issues. It also serves as an inter-disciplinary platform to facilitate and promote interaction and cooperation among scientists who aim to integrate satellite remote sensing data and biogeochemical studies for a better understanding of the ocean carbon system.
SOED has successfully hosted two SatCO2 workshops previously, in December 12-16, 2016 and December 1-5, 2017, and received positive feedback from attendants and users. To further promote the application of the inter-disciplinary research on ocean carbon cycle and ocean acidification, the 3rd SatCO2 international meeting will be held in November 22-25, 2018.
To promote satellite data application and data sharing, SOED developed a SatCO2 software. With the software, users can access the Online Data Sharing Center of SOED and easily process the satellite big data as well as in situ data. Now, the 3rd updated version of SatCO2 software will be released in the workshop as a linkage to present the outreach of multidiscipline research and cooperation.
To attend the workshop, please submit, at your earliest convenience, your CV (Including education, professional experiences, publications, etc.) to Ms. Jinyi Rao (email@example.com) before 10 Sept., 2018.
a) Ocean carbon cycle, ocean acidification and links to global change and human activities,
b) Remote sensing of marine biogeochemistry,
c) Impacts of climate change and variability on marine ecosystems,
d) Application of multi-source data and ocean big data analysis.
A series of activities including keynote speeches, oral presentations and posters.
Delu Pan, State Key Laboratory of Satellite Ocean Environment Dynamics (SOED/SIO), China
Chen-Tung Arthur Chen, National Sun Yat-sen University, Kaohsiung
Yan Bai, State Key Laboratory of Satellite Ocean Environment Dynamics (SOED/SIO), China
Feng Zhang, Zhejiang Provincial Key Laboratory of Geographic Information Systems, Zhejiang University, China
Xianghui Guo, State Key Laboratory of Marine Environmental Science (MEL), Xiamen University, China
Zhenhong Du, Zhejiang Provincial Key Laboratory of Geographic Information Systems, Zhejiang University, China
State Key Laboratory of Satellite Ocean Environment Dynamics (SOED), Second Institute of Oceanography (SIO), State Oceanic Administration (SOA), China
Zhejiang Provincial Key Laboratory of Geographic Information Systems, Department of Earth Sciences, Zhejiang University, China
State Key Laboratory of Marine Environmental Science (MEL), Xiamen University, China
National Marine Environmental Monitoring Center, China
Key Laboratory of Space Ocean Remote Sensing and Application, National Satellite Ocean Application Service, China
Ocean Remote Sensing Profession Committee, China Society for Oceanography
The SatCO2 software (Satellite-based marine carbon monitoring and analysis system) is a tool to process satellite data and in situ data, which is a cooperative product that developed by the State Key Laboratory of Satellite Ocean Environment Dynamics (SOE/SIO/SOA) and the Zhejiang Provincial Key Laboratory of Geographic Information Systems at Zhejiang University.
The SatCO2 software was developed for multi-disciplinary researchers, particularly for non-remote-sensing experts and remote sensing beginners but aiming to promote the application of satellite data, to free them from coding on satellite big data processing. In comparison to the conventional two-dimensional processing software (e.g. ENVI) and the three-dimensional remote sensing image display software (e.g. Google Earth), SatCO2 can simultaneously fulfill the visualization and project the scientific calculation of multiple-sources satellite data, in situ data and modelling data on a three-dimensional virtual earth. The software is supported by the database in the Online Data Sharing Center of SOED, which shares the latest datasets of long-term time series of remote sensing data records on ocean carbon cycle.
The major functions of the SateCO2 software can be summarized as follows:
1) Satellite data browsing, extracting and statistical analysis in the user-defined region of interest (ROI) for an individual image or time-series data from online database and/or user’s own data on the personal computer. Supported by the SOED/SIO/SOA Satellite Database, there are numerous satellite datasets accessible for free via the SatCO2 software.
2) Cross validation between satellite data and in situ data. Users can extract the satellite data that match up with the in situ data (user-defined temporal and spatial window), and then conduct regression analysis for direct comparison. Users can evaluate the spatial and temporal representativeness of cruise’s data based on the long-term change of satellite observations.
3) Air-sea CO2 flux estimation. User can easily deal with area integration for flux budget calculation either i) by applying all in situ data with several data extrapolation methods (convenient area integration), or ii) by applying partially underway data and partially satellite data (e.g., wind speed and atmospheric pCO2), or iii) by applying all satellite data. In the flux calculation, users can adjust some coefficients or define user’s own equations.
4) Generation of new satellite products. Users can input their own algorithms simply by clicking on a formula editor to generate new products based on known satellite products provided by online database. This function provides easy way for tuning and displaying user-defined algorithms, which can greatly free users from coding and processing satellite data in various formats.
5) Production of a user-defined thematic map (a single one or in batch). Analysis results (data and figures) can be saved for further use.
6) Extension modules. The software has been extended and been updated with new modules embedded the latest satellite algorithms for further application, such as red tide detection, water quality classification, etc. We welcome the collaborators to supplement new modules and extend the database with contributor-signed algorithms and datasets.