Remote sensing of inland waters: From bio-optical algorithms to ecosystem indicators
Event details
| Date | 14.05.2013 |
| Hour | 16:15 › 17:15 |
| Speaker | Dr Daniel Odermatt, Brockmann Consult GmbH, DE |
| Location | |
| Category | Conferences - Seminars |
Remote sensing provides frequent and spatially continuous observations of the Earth surface. A sequence of specific image analysis methods is needed to extract biophysical parameters from these observations, including geometric, atmospheric, bio-optical and ecological models. For inland water quality related applications, the use of optical sensors with medium spatial, but high temporal, specral and radiometric resolution prevails.
Algorithms that retrieve absorption and scattering properties from surface reflectances determine both the requirements as well as the potential of such processing sequences. The most powerful approaches use bio-optical forward models to simulate reflectances for a predefined set of water constituent concentration variations. Mathematical inversion methods are then applied to match these simulated with satellite retrieved reflectances and thus retrieve color-specific constituent concentrations.
Such directly retrieved constituents (chl-a, suspended matter, colored dissolved organic matter) bear a large potential for environmental monitoring, but sampling depth estimates, error calculations, validation results, user instructions and further auxillaries are needed for their operational use. Further, indirect estimates include primary productivity and surface albedo, and assimilation with thermal remote sensing or in situ data opens an even wider scope of indicators regarding biodiversity and global change.
Algorithms that retrieve absorption and scattering properties from surface reflectances determine both the requirements as well as the potential of such processing sequences. The most powerful approaches use bio-optical forward models to simulate reflectances for a predefined set of water constituent concentration variations. Mathematical inversion methods are then applied to match these simulated with satellite retrieved reflectances and thus retrieve color-specific constituent concentrations.
Such directly retrieved constituents (chl-a, suspended matter, colored dissolved organic matter) bear a large potential for environmental monitoring, but sampling depth estimates, error calculations, validation results, user instructions and further auxillaries are needed for their operational use. Further, indirect estimates include primary productivity and surface albedo, and assimilation with thermal remote sensing or in situ data opens an even wider scope of indicators regarding biodiversity and global change.
Practical information
- General public
- Free
- This event is internal
Organizer
- IIE
Contact
- Professor Alfred Johny Wüest, IIE & EAWAG, CH