1. •
Integra)ng
data
from
several
sensors
•
Automa)c
classifica)on
of
seabed
habitats
•
Several
vessels
for
different
types
of
environnment
•
Innova)ve
so<ware
for
data
integra)on
and
processing
•
Data
elabora)on
and
visualisa)on
in
2D
or
3D
virtual
environments
Acous'c
methods
enable
mapping
of
the
seabed
habitats.
Single-­‐beam
acous'c
ground
discrimina'on
systems,
sidescan
sonar
systems,
and
recently
also
mul'-­‐beam
echo
sounders,
represent
excellent
tools
for
studying
large
areas
of
the
sea-­‐
bo<om.
Detec)on
The
purpose
of
this
study
was
to
develop
an
automa'c
system
for
the
seabed
mapping
of
large
areas.
The
seabed
was
scanned
by
mul'beam
sonar,
which
enables
measurements
of
up
to
10
square
kilometers
of
seabed
a
day,
gathering
data
with
resolu'on
of
less
than
20
cen'meters.
Concept
Remote
sensing
enables
faster,
cost-­‐efficient
and
large
scale
monitoring
&
classifica'on
of
coastal
habitats
and
seabed
types.
To
gain
sufficient
detail
for
sustainable
coastal
management
and
protec'on,
several
methods
have
to
be
combined.
We
are
developing
a
modular
system
that
will
allow
automa'c
data
integra'on
and
processing.
The
data
were
treated
by
the
specially
developed
automa'c
processing
of
the
acous'c
data,
which
enables
genera'on
of
the
maps
of
seabed
types
in
a
ma<er
of
hours.
Processing
h<p://www.harphasea.si
email:
maja@harphasea.si
Our
method
doesn't
give
as
detailed
maps
of
seabed
types
as
we
can
acquire
by
the
video
sledges
or
diving,
but
has
many
benefits,
like
con'nuous
coverage
(no
need
for
interpola'on),
speed
and
applicability
to
a
large
scale
mapping.
In
the
case
of
seagrass
meadows,
indicators
of
distribu'on
like
presence/absence,
area
distribu'on
and
distribu'on
limits
can
be
easily
monitored.
These
indicators
can
be
affected
by
eutrophica'on,
changes
in
coastal
infrastructure,
dredging,
anchoring,
traffic,
etc.
Geo-­‐referenced
data
from
remote
sensing
can
be
easily
u'lized
for
providing
an
easily
accessible
and
interoperable
maps
of
seabed
habitats,
and
represent
a
good
basis
for
a
more
detailed
inspec'on
directly
on
the
field.
Automa)c
classifica)on