Satellite Derived Bathymetry


Adam Gauci Adam Gauci University of Malta

Adam Gauci

University of Malta


ABSTRACT

In this short tutorial, data from the Multispectral Instrument (MSI) onboard SENTINEL2 will be used to estimate bathymetry in shallow coastal zones. In-situ data collected around the island of Malta will be used to project band ratios to depth values. Unlike other conventional methods, this approach provides a way to survey shallow areas safely, frequently, and without the need for expensive equipment.


SPEAKER BIO

Dr Adam Gauci is a data scientist with the Oceanography Malta Research Group. He has been involved in a number of projects including the setting up of the CALYPSO HF Radar System to monitor in real-time sea surface currents across the Malta Channel, as well as the installation of a number of meteo-marine observation stations around the Maltese islands. Adam obtained his Ph.D. with the Department of Intelligent Computer Systems at the University of Malta with research on the applications of Machine Learning techniques on mega-dimensional datasets. When not chasing mermaids, he lectures with the Department of Geosciences within the Faculty of Science.


With the Patronage of


Comune di Milazzo
guardia_costiera
INRiM
CNR
ISPRA
INRiM
University of Messina
Mediterranea University of Reggio Calabria
DIIES
University of Bari
unisannio
unige
univmalta
SCI_Geosciences_RedLogo.png
Polytechnic University of Catalonia
University of Lisbon - Faculty of Sciences
Gdynia Maritime University
Aristotle University of Thessaloniki - Physics Department, Electronics Lab
lega_navale
shom
shom
conisma
ihs
Eurofleets
gmee
gmmt


Sponsored By


setel_1
DIIES
setel_1
deftech_1
sensors
Remote Sensing
jmse