Presentation of 4SM for the busy executive
Shallow water depth and bottom type from satellite image
-
Further to Lyzenga's and Stumpf's methods, most existing empirical methods still need the following and only deliver shallow water depths
-
atmospheric correction
-
conversion into units of reflectance
-
an existing depth sounding dataset that covers faithfully the whole ranges of bottom brightnesses and shallow depths
-
segmentation of shallow areas into several bottom brightness classes, irrespective of depth
-
specify a, b and c for each class: Z= aX + bY + C through multiple linear regressions
-
With 4SM, in order to get the same result,
-
no need for atmospheric correction
-
no need for calibration into units of reflectance
-
no need for any field data for calibration of the optical model
-
With 4SM, a water column corrected image is produced AS WELL AS the computed depth in meters
-
fully supervised, "on the fly",
-
starts by reading raw data,
-
ends up writing computed depth and water column corrected spectral bottom signatures ready for bottom typing,
-
line after line, for a "same day" low cost comprehensive service
-
All that bounty
-
One single executable code, ~50000 lines compiled in C, in an opensource LINUX environment
-
well ahead of any field work
-
With 4SM, seatruth data is only needed to
-
DTM : specify Htide and CoefZ in
-
FinalZ = Htide+CoefZ*computedZ
-
Habitats : document and label the bottom types that have been mapped
Want to know more? go to 4SM advantages
4SM summary
4SM summary detailed
4SM summary further
4SM others
For a same-day service,
ergonomy and operationality are the order of the day
Partagez sur les réseaux sociaux
Catégorie
Autres publications pouvant vous intéresser :
Commentaires :
Laisser un commentaire
Aucun commentaire n'a été laissé pour le moment... Soyez le premier !