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Optical calibration, bathymetry,
water column correction

and bottom typing of shallow marine areas
using passive remote sensing imageries

the Self-calibrated Supervised Spectral Shallow-sea Modeler
for shallow water column correction and bottom typing.
Use passive hyperspectral or multispectral satellite images
to derive both depth and spectral reflectance of shallow bottom,
ahead of any field work.

Leave difficult cases to semi-analytical methods!

Further to Lyzenga et al's empirical ratio method: water volume reflectance is an important variable.

No need for atmospheric correction.

Uses Jerlov's data for optical calibration.



Optical calibration does not need any field data:
the image itself contains all the information
that is needed for a "ratio method"
Users of Geomatica, ENVI, Erdas, TNTmips, ERmapper, Ilwis, Idrisi, etc, no sweat:
I only use open source

Just use a X86 laptop
under Linux

From importing raw data to formating deliverables in one single 4SM executable code.

Uses a bash command line, focussed on productivity.

lyzenga water column correction, pasive, multispectral, hyperspectral, shallow bathymetry, optical bathymetry,shallow depth, satellite image, marine remote sensing, bottom typing, reflectance, glint correction, coastal management, diffuse attenuation coefficient, empirical
casi, landsat, etm, tm, world view 2, wv2, ikonos, hyperion, ali, lee stocking, bahmas, heron, gbr, great barrier reef, caicos, greenland, clipperton, hawaii, jamaica, french polynesia, tuamotu,usvi,buck island reef

From raw data to bottom typing:
it works
1 - NO NEED for field data, nor for atmospheric correction
2 - this is demonstrated in this website, using a variety of hyper/multi spectral data
Requirements are
1 - homogeneous water body and atmosphere
2 - some coverage of optically deep water
3 - some coverage of dry land
Problems are
1 - the precision on estimated depth is found wanting, because the noise-equivalent change in radiance  of accessible data is too high for shallow water column correction work 
2 - radiance data should be preprocessed by the provider at level 1 in order to improve S/N ratio
3 - exponential decay: the deeper/darker the bottom, the poorer the performances
I keep digging
until suitable data
become available