the Self-calibrated Supervised Spectral Shallow-sea Model
Passive optical calibration, satellite derived bathymetry, water column correction
and bottom typing of shallow water areas using remote sensing imageries.
Use passive hyperspectral or multispectral satellite images to retrieve both
SDB depth and spectral reflectance of shallow bottom, ready for bottom typing, ahead of any field work.
r Empirical vs Analytical
I am developing a 4SM_2K_Jerlov page: it is time you get updated!
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|December 2016 |
A time series of Landsat 8 at La Paz, Baja California
15 m GSD NO Smoothing required RMSE~=1 m
two Landsat 8 time series in the Bahamas
No need for formal atmospheric correction No use of field data for optical calibration
Water column corrected signatures calibrated into reflectance (0-1) for OLI and WV2
This also works with PAN-sharpenned images