ESA Oceanic Carbon From Space 2022
来白嫖一波idea
第一天

来的晚了,只赶得上这个
retrieve bbp is also a challenge.
另外可以从这里看到https://padlet.com/JavierAlonsoConcha/OceanCarbonFromSpace
另一个有意思的是glimr







Fichot的研究



各路大佬都在用机器学习 我吐了



@David - the SWOT mission should be useful in this regard (similar to geostrophic currents derived from coarse-resolution altimeters). Sequential ocean color or SST imagery have also been used in case studies.
UV lidar - see work by Frank Hoge and colleagues from the 1990s
ESA AEOLUS lidar is a UV lidar at 355 nm
Also AEOLUS, COLOR (CDOM-proxy retrieval from aeOLus ObseRvations): https://meetingorganizer.copernicus.org/EGU21/EGU21-8687.html
https://eo4society.esa.int/projects/aeolus-innovation-ocean-sub-surface-products-and-applications/


总结一下
- bbp DOC Cphyto的测量还有问题
- 大洋区域pft仍然不准确
- 更多的技术亟待应用(例如被各路大佬疯狂乱套的机器学习
第二天
来晚了又
第一节没有那个gap 我也没啥兴趣 没听
poster
Development Of A Machine Learning Approach For The Estimation Of The Marine CO2 Partial Pressure Over The Global Coastal Ocean In The Frame Of The CO2COAST Project
Roy El Hourany, Hubert Loisel, Daniel S.F. Jorge, Vincent Vantrepotte, Cédric Jamet, Julien Demaria, Marine Bretagnon, Antoine Mangin




Evolution of Coccolithophores bloom dynamics in the North Sea: observations from Remote Sensing, Continuous Plankton Recorder and FerryBoxes
Katharina Kordubel, Burkard Baschek, Shun Bi, Martin Hieronymi, Klas O Möller, Yoana G Voynova

Support For The Evolution Of IOP Retrievals In The PACE Era
Lachlan McKinna, Ivona Cetinić, Jeremy Werdell

Uncertainty Estimates For Satellite-based Computations Of Marine Primary Production
Gemma Kulk, Shubha Sathyendranath, James Dingle, Thomas Jackson

后半场睡觉了 没听
第三天
刚进来就看到了感兴趣的东西
这是Dr. Martin Hieronymi的 估计跟这个https://www.frontiersin.org/articles/10.3389/fmars.2017.00140/full有关 前面没见到



另一个用机器学习做POC

Poster
Marti Gali bbp和poc的

然后我忽然发现很多可以在这里看到https://oceancarbonfromspace2022.esa.int/iframe-agenda/