|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.
|Landsat 8 |
See work may2016
at LaParguera, Puerto Rico
See work July2016
at Caicos Bank, Bahamas
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.
|4SM demonstration: |
40 times faster than best ALLUT process on the same CASI image.
|Albert & Mobley's analytical model (2003) is used commercially by EOMAP and PROTEUS. |
For operational purpose, we need a way out:
the simplified shallow water Radiative Transfer Equation.
These BOA models require formal atmospheric correction.
Following Lyzenga, Maritorena, Jerlov and Kirk, passive optical bathymetry is operational and practical
| "operates" the simplified shallow water RTE. |
Being a "ratio method", it works for TOA radiance as well.
| 4SM only uses the satellite image: no atmospheric correction or field data required. |
Yields both retrieved depth and water column corrected spectral radiance ready for bottom typing.
This is a TOA simplified RTE: it uses DNs, does not require formal atmospheric correction.
No need for field data to retrieve depth in meters
just determine Ki/Kj for wavelengths i and j (Lyzenga), then derive spectral K in m-1 for all visible bands (Kirk).
|Oct 2016: a time series of Landsat 8 MULTI+PAN at SanLorenzoChannel, Baja california||read more|
|Oct 2016: processing a time series of PAN+MULTI Landsat 8 scenes at LSI, Bahamas||read more|
|Jul 2016: processing a time series of PAN+MULTI Landsat 8 scenes at Caicos Bank, Bahamas||read more|
|May 2016: processing of a PAN+MULTI Landsat 8 image at La Parguera, Puerto Rico||read more|
|Feb 2016: processing of a PAN+MULTI WV2 image at Gulf of Laganas, Greece||read more|
|Mar 2015: processing of a pan-sharpenned QB image of a GoogleEarth-derived image, Shiraho Reef||read more|
|Jan 2015: processing of HICO data||read more|
|Sep 2014: generic optical calibration of the Panchromatic band||read more|
|May 2014: 4SM demonstration using CASI data at Heron Island||read more|
|May 2014: ETM over Florida Bay: water types from Coastal4 to OIB||read more|
|Feb 2014: processing of HYPERION data at La Parguera Nature Reserve, Puerto Rico||read more|
|Feb 2014: further to Lyzenga's method, and how 4SM adds to it||read more|
|Jan 2014: OLIP at Dry Tortugas National Park, Florida keys, USA, with seatruth LIDAR DTM||read more|
|Dec 2013: processing of CASI data at Heron Island, GBR, Australia, with seatruth DTM||read more|
Nov 2013: the "PANchromatic solution" for shallow water column correction using 4SM
|Nov 2013: water volume reflectance and reflectance of the brightest shallow substrates in coral reeef||read more|