1 / 12

Ocean Color Algorithm working Group

Ocean Color Algorithm working Group. ZhongPing Lee. The objectives:. 1 . Algorithm cross comparisons 2 . Algorithm recommendations 3 . Report on algorithm progress. Major issues regarding algorithm activities: 1) there are many algorithms; 2) many of them are empirical;

feng
Télécharger la présentation

Ocean Color Algorithm working Group

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Ocean Color Algorithm working Group ZhongPing Lee

  2. The objectives: 1. Algorithm cross comparisons 2. Algorithm recommendations 3. Report on algorithm progress

  3. Major issues regarding algorithm activities: 1) there are many algorithms; 2) many of them are empirical; 3) many of them are only partially tested/validated; 4) limited/no common ground for cross comparison. IOCCG Report #3, Page 117: … desirable to set up an international data base …, with free and easy access to all interested researchers, …

  4. This OCAG plan to do: 1. “To assemble data from field measurements” Link/merge with SIMBIOS data slowly; measurement error, .. !2. “To synthesize data based on known relations” IOCCG/agents support? .. 3. Algorithm cross-comparison/evaluation !4. A place to store data/algorithm software, .. A webpage under IOCCG

  5. For [chl], cross comparison/evaluation has been performed, and operational algorithms have been suggested. (O’Reilly et al. 1998) Only limited comparison/validation for other properties.

  6. Traditional color data flow scheme: [chl] algorithms many are empirical! color IOP, [chl] auxi. PP, …

  7. [chl] [G] [S] . . From Ocean Optics theory, less understood better understood 1 2 IOP, .. color Multi-variant, two-step control!

  8. [chl] [G] [S] . . A true inversion looks like: Multi-variant, non-linear problem! IOP, .. color [chl] color Traditional one-step inversion.

  9. The limitations of one-step inversion are clear:

  10. [chl] [G] [S] Light field Heat transfer PP . . . . Two-step inversion: harder, less accurate easier, more accurate 1 2 IOP, .. color auxi.

  11. This OCAG will focus on algorithms for the IOPs.

  12. After we have: 1. assembled data from field measurements 2. synthesized data 1. Algorithm cross comparisons 2. Algorithm recommendations 3. Report on algorithm progress

More Related