|the Self-calibrated Supervised Spectral Shallow-sea Modeler |
Passive optical calibration, bathymetry retrieval, water column correction
and bottom typing of shallow water areas using remote sensing imageries.
Use passive hyperspectral or multispectral satellite images to retrieve both
depth and spectral reflectance of shallow bottom, ready for bottom typing, ahead of any field work.
I am developing a 4SM_2K_Jerlov page:
it is time you get updated!
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.
|see my last work |
in may 2016
on Landsat 8 at
Just use a X86 or AMD64 laptop
From importing raw data to formating deliverables in one single 4SM executable code.
Uses a bash command line, focussed on productivity.
|Users of Lyzenga's |
or Stumpf et al's methods,
please be advised
on the cost of dispensing with water volume reflectance.
|continued||4SM demonstration: |
40 times faster than best ALLUT process on the same CASI image.