SeaWiFS discrimination of harmful algal bloom evolution

This page contains additional implementation details to accompany the paper:

Download paper (PDF 1 MB)

HAB likelihood classification functions

If you use these functions in any publications, please cite the paper above and include the function version code shown in brackets. NB To achieve sensible results you must use exactly the same input data type as described in each section. That means the same sensor, products, processing version, atmospheric correction, and inherent optical properties model. You cannot omit or substitute any products or pre-processing.

SeaWiFS data using bright pixel atmospheric correction and IOP model

Karenia mikimotoi (KM-BP-IOP-2)
Function constant nLw_412 nLw_443 nLw_490 nLw_510 nLw_555 nLw_670 a_412 a_443 a_490 a_510 a_555 bb_490
No bloom -23.277 0 27.029 0 16.959 4.701 -8.762 -71.867 514.265 0 0 0 -4919.914
Harmless -35.410 0 13.947 0 33.327 13.803 -29.187 -124.803 687.875 0 0 0 -5195.882
HAB -60.402 0 36.411 0 -24.034 76.616 -52.363 -170.985 878.900 0 0 0 -6642.448

Normalisation of likelihood values

Contact

Contact Peter Miller at: pimpml.ac.uk

I haven't finished this page yet!