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From YouTube: SimPEG meeting February 19th 2019
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A
A
B
B
But
it
was
nice
actually,
they
did
understand
because
first
of
all,
I
didn't
realize
the
first
thing,
because
I
did
it
several
times
to
exercise
first
time,
I
didn't
really
either
they
don't
know
what
electricity
is
already.
That's
very
abstract
concept.
Actually,
so
I
want
to
explain
them
how
to
use
it
so
element.
Oh
I,.
C
Good,
yes,
we're
going
to
put
in
an
application
to
see
if
it
works,
but
I've
got
Jenna
I've.
Actually,
it's
a
son-in-law
who's,
the
Greek
high
school
teacher
and
science,
okay
and
then
our
thought
was
that
we
tried
to
put
together
something
about
remote
sensing
yeah
get
to
your
physics
unit,
because
gym
physics
is
not
a
word
that
people
really
see.
C
B
So
I'm
only
going
to
talk
really
about
the
project.
Time
I
want
to
work
on
here,
but
I
just
made
his
first
slice
here.
I
may
be
the
focal
screen
like
where
is
it
yeah?
So
just
do
that
so
that
you
have
an
idea
of
other
projects
you
are
working
on
and
that
and
that
yeah,
if
you
would
want
to
get
in
touch
about
them,
you
could
talk
about
it
of
course,
so
the
four
projects
that
are
really
actively
running
at
the
moment
so
with
people
actually
working
on
them
is
huge.
B
This
is
a
project
with
two
of
my
colleagues
and
two
other
PhD
students,
where
we
try
to
understand
the
impact
of
roots
and
root
tissue
and
root,
collectivity
and
anisotropy
on
the
electrical
signature
inserts.
So
that
mainly
involves
PRT
and
IP
signals,
and
then
we
do
that
quit
modeling
and
experimental
approaches
mainly
laughs
at
the
moment,
because
it's
really
really
small
scale.
Then
the
second
project
is
the
chart
project.
That's
about
Chara
of
biochar.
B
Actually
so
you
know
that
there's
some
boom
and
using
the
research
on
biochar,
but
the
problem
is
mainly
I,
think
it's
often
very
conceptual
and
still
not
very
much
used
and
often
even
Belgium,
for
example,
it
would
make
it
wouldn't
make
much
sense
to
use
biochar
in
agriculture
for
many
different
reasons.
We
could
discuss
at
some
other
point,
but
what
we
think
is
lacking
a
lot
in
this
research
is
that
they
only,
we
only
have
the
possibility,
often
to
look
at
short-term
effects
of
biochar.
B
B
B
It
has
a
lot
of
active
compound
or
surface,
let's
say,
and
it
gets
exchanged
with
a
lot
of
fertilizers
and
I
got
in
the
soil,
and
so
the
idea
with
this
biochar
is
that
you
add
organic
material
to
the
soil
from
waste,
a
key
that
might
be
burned
and
that
you
actually
create
fertilizers
that
are
retained
longer
in
the
soil.
So
you
would
then
apply
a
normal
fertilizer,
but
these
biochar
keep
it
longer.
But
a
problem
with
this
material
is
that
if
you
apply
it,
it's
it's
something
which
is
in
the
beginning.
B
It
has
some
properties,
but
you
can
imagine
that
it's
some
kind
of
organic
material
that
you
put
inside
100
years,
and
so
we
don't
have
any
idea
what
will
happen
with
which
reactions
will
take
place
at
the
surface
of
this
kind
of
material.
It's
made
from
different
types
of
waste.
Also,
it's
from
residues
butts
from
wood,
also
from
even
worse
things.
So,
if
you
put
it
into
the
soil
on
agricultural
land,
you
would
want
to
know.
Is
it
polluting,
maybe
at
the
long
term
or
not?
B
Or
is
it
maybe
at
some
point
restraining
the
release
of
fertilizer
versus
item?
And
so
the
idea
that
we
had
is
that
in
Belgium
you
typically
have
something.
I
should
have
put
him
up
here.
I
didn't
realize
that
that
I'm
so
far
away
from
you,
we
have
this
kind
of
thing
that
in
the
industrial
time,
charcoal
was
made
just
a
cup
trees
and
they
made
small
ovens
directly
there
in
the
forest.
B
So
we
have
this
kind
of
round
spots
where
all
these
kind
of
ovens
were,
and
this
is
actually
the
same
as
biochar,
so
we
have
150
year
old,
biochar
any
fields,
because
now
the
trees
are
gone
and
it's
used
for
agriculture,
and
so
this
is
what
we
in
this
project
you
have.
We
do
and
we
do
a
multiscale
approach
with
people
really
from
biogeochemistry.
There's
us
with
the
geophysics.
B
Exists
but
not
in
our
field,
but
to
solve
that
what
we
did
is
we
made
the
same
biochar
now
and
we
applied
it
to
the
field.
So
we
have
also
young
biochar
spots,
but
yet
I
behaved
completely
different
because
it's
you
apply
it
in
the
surface
you
have
to
plow
and
so
on.
If
you
want
to
know
about
that,
look,
it's
a
do.
Another
thing
then
today,
I
will
talk
about
potential.
B
That's
the
data
that
I
would
like
to
work
on,
because
the
poster
that
did
the
measurements
went,
stop
the
project
earlier
and
then
the
end.
So
that's
what
I
would
like
to
profit
from
all
the
data
we
have
and
there
and
the
objective
was
to
look
at
spatial
variability
in
the
field
and
optimize
fertilization,
but
also
irrigation
in
potato
fields.
I
will
explain
later
and
then
there
is
a
project
starting
now
on
young
phosphorous
fertilization
in
Morocco,
where
we
also
use
some
geophysics
to
improve
that.
So
the
project
I
want
to
talk
about
is
this.
B
Typically
in
Belgium
we
don't
have
a
lot
of
irrigation.
I,
don't
know
about
Canada
here,
yes,
so
for
potato,
that's
mainly
in
the
region
where
we
have
sandy
soil,
so
water
goes
to
quite
quickly,
and
so
in
summer
there
are
more
and
more
stresses
because
we
experience
more
and
more
draughts.
People
are
starting
to
irrigate,
and
typically
it's
very
basic
with
this
kind
of
rotating
things.
So
the
project
is
about.
How
can
we
optimize
irrigation
in
space
and
time
in
terms
of
water
resources?
B
You
use
efficiency,
but
also
the
nitrogen,
because
it's
also
an
issue
where
do
you
put
it?
When
do
you
put
it
and
you
put
everywhere
the
same
amount
or
should
you
that
to
research
negatives
in
the
soil?
This
is
a
question,
see
a
lot
of
studies
right
now
or
even
already
for
20
years.
I
would
say
so.
So
the
idea
of
this
project
is
how
can
we
better
engage
with
spatial
temporal
variation
in
the
field?
And
here
you
can
see
the
field
where
we
did
the
measurements.
You
can
see
just
an
aerial
picture.
B
We
did
wrong
and
you
directly
see
that
there
is
variation,
that
there
is
spots
in
this
field
where
the
plant
is
not
growing
or
not
growing,
so
well
and
so
yeah.
There
is
probably
something
we
can
do
better
here
to
have
better
yields
or
to
manage
at
least
some
spots
better
in
the
fields
and
months
do
not
so
the
the
idea
of
the
project
is
ok.
We
have
typically
three
sources
of
information
there.
You
could
work
with
sampling
or
assembly
put
some
sensors
at
some
spots
in
the
field,
but
that
remains
very
small
scale.
B
Then
you
have
typical
things
that
are
more
and
more
done,
but
yeah,
it's
still
quite
only
the
farmers.
That's
we
are
interested
in
these
do
that,
but
you
could
do
soil
scanning
something
like
EMI
ISO,
making
math
connectivity
map
of
your
field
and
then
try
to
make
different
zones
out
of
that
or
more
and
more
of
course,
people
use,
satellite
our
drone
data
and
calculate
images
from
them
and
then
try
to
manage
the
field,
and
so
our
idea.
B
Research
groups,
it's
a
European
project,
and
so
we
are
in
the
middle
of
course,
but
we
try
to
see
okay,
which
is
the
most
relevant
information
for
a
farmer
also,
so
not
only
okay.
What
is
interesting
as
a
scientist,
because
yeah
it's
of
course
interesting
to
look
at
nehemiah
and
see.
Is
it
related
to
soil
moisture,
but
that
maybe
does
not
help
the
farmer.
We
might
not
be
able
to
make
such
a
map
when
to
complicate
or
isn't
it
too
much
time.
So
we
try
to
find
out
also
which
type
of
information
is.
B
Has
the
most
content,
also
information
content
for
a
farm
and
is
most
relevant
for
him
and
also
easiest
accessible,
so,
for
example,
this
is
drawn
a
tad
different.
This
is
definitely
the
story
at
different
dates.
In
Europe.
We
now
have
the
Sentinel
data,
so
that's
for
free
and
you
get
at
least
every
few
days.
You
can
get
this
type
of
data
which
has
1
meter
resolution.
So
that's
yeah.
It's
huge!
B
C
C
B
Sentinel
is
different:
they
have
different
sensors
I
think
this
is
just
from
the
hyperspectral
camera
that
they
are
yeah
I,
don't
know
what
exactly
they
use
do.
This
is
hyper
spectral
information,
but
you
also
have
some
radar
and
different
sensors
on
the
to
send
Sentinel
satellites.
So
this
is
only
one
index
we
have
tons
of
them
actually
in
the
group
if
they
take
calculated
yeah.
This
is
F
cover.
B
So
this
only
tells
you
how
much,
if
you
discovered
in
doing
or
you
can
calculate
whatever
you
want,
but
you
also
have
this
kind
of
stress
in
dishes
that
come
from
infrared
or
isn't
it,
but
the
only.
The
other
point
is:
okay,
that's
what
the
plant
has,
but
often
that
comes
late.
You
know
when
there
is
a
stress
it
will
be
too
late.
You
might
want
to
know
before
autumn
and
you
feel
not
to
get
stress
that
you
can
see
in
the
images
the
other
ideas
then
okay
could
be
with
emi
a
demonic.
B
Maybe
we
could
just
find
different
zones
in
the
field
and
OAuth
to
manage
them
beforehand.
If
this
gazelles
will
be
the
soul
related
information
which
is
related
directly
to
soil,
moisture
and
and
fertilizer,
so
yeah,
it's
a
different
perspective.
Will
you
start
from
the
plant?
We
start
from
the
soil,
and
so
this
is,
for
example,
multi
coil,
EMI
decadence,
for
example.
One
thing
I
would
like
to
do
in
tim
pack
is
to
know
how
to
import
this
kind
of
data.
B
We
have
here
a
six
coil
device
with
three
vc
p,
n6
h,
TP
modes
that
were
measured
so
will
be
interesting
for
me
to
to
know
where
we
deal
with
such
kind
of
information
able
to
find,
for
example,
different
soil
years
and
the
Vagos
multi-frequency.
I
think
so,
but
these
are
questions.
I
should
dig
into
out
there
because
I
did
not
take
measurements
myself,
so
these
are
multi
frequency,
but
I
I
have
no
idea
which
frequencies
and
so
on.
Yes,.
C
B
B
So,
okay,
so
that's
the
type
of
data
we
have
and
the
question
that
we
have
scientifically
behind
it
because
there's
this
whole
agricultural
thing,
but
maybe
at
the
bottom
of
that
there's
something
that's
I
find
also
very
interesting,
is
okay.
Is
there
a
relation,
a
credo,
clear
relationship
between
BMI
did
and
so
the
ECA
we
get
from
BMI,
or
maybe
the
inverted.
So
what
was
nice?
This
was
easy,
a
so
not
invertible.
No
electrical
connectivity-
oh
oh,
oh
I,
see
okay
and
soil
moisture
because
that's
what
treated
for
interpolation
that
welfare
is.
C
G
B
B
So
it's
just
a
parents,
conductivity
yeah,
and
so
here
what
you
see
is
just
a
correlation:
it's
not
from
our
work
but
from
another
paper
in
Europe,
where
they
try
to
find
a
better
physical
relationship
between
Sauvage,
air
and
ECA
from
EMI
yeah,
which
of
course
not
only
depends
on
soil,
moisture,
also
salinity
and
so
on.
But
in
our
situation,
salinity
is
only
minor
changes
and
so
on,
so
the
biggest
change
should
come
from
certain
restriction
after
you
have
corrected
for
temperature
and
you
and
BOM.
B
But
the
point
is
that
in
some
papers
they
say
yeah,
it's
like
for
ERT.
You
find
it
clear
relationship
between
the
two
and
so
you
convert
and
convert
ec2.
So
much
and
clearly
here
Lisi.
This
is
four
different
dates.
This
is
not
at
all
a
stable
relationship
and
it's
not
certainly
not
always
the
civilian
ships.
So
the
point
we
had
here
also
in
the
project
is
to
try
to
see.
Okay
is
EMI
or
temporal
EMI
a
good
proxy
for
soil
moisture
field,
because
in
this
paper
clearly
they
show
it's
not
a
good
proxy.
B
C
B
So
they
took
samples
and
they
actually
checked
physically
aromatic
weeks.
What
was
this
one?
Much
and
I
put
it
against
the
measured
conductivity
tier
and
in
some
cases
you
will
really
find
people
that
claim
okay.
This
is
always
a
straight
line,
or
this
is
an
easy
relationship,
at
least
not
so
linear.
B
Yeah,
so
it's
it's
completely,
not
robust
here,
so
the
issue,
what
we
wanted
to
do
and
that's
why
I
am
here
actually
with
all
my
data
is
so
we
want
to
know
whether
EMI
can
be
used
in
a
spatial
temporal
way
in
an
agricultural
context.
Does
that
make
sense?
Is
it's
a
valuable
proxy
for
Sun
moisture?
Can
it
be
so
is?
Is
there
may
be
like
with
ERT?
We.
B
Possible,
we
already
did
it
several
times,
but
that
that's
practical
for
a
farmer,
so
maybe
if
we
could
calibrate
with
ERT,
is
that
a
stable
relationship.
What
what's
the
what's
the
problem
here?
Actually
because
I
don't
understand
why
he
Artie
connectivity
should
be
stable
and
EMI
should
not
be.
Probably
you
have
much
more
ideas
on
that
because
I
don't
know
yeah.
My
very
well!
That's
a
so
we'll
probably
talk
about
this,
so
how
to
calibrate
two
special
physical
relationship
and
for
EMI.
B
What's
the
influence
of
the
growing
plants,
because
of
course
you
can
do
once
a
met,
but
if
you
repeat
the
map
on
agriculture
will
feel
the
problem
is
that
the
plants
are
growing
and
as
EMI
is
surface
measurements.
Yes,
the
the
plants
are
probably
playing.
A
role
was
the
influence
of
micro
topography
on
the
field
also
with
EMI
I,
don't
know
very
well
how
that's
yeah,
the
fact
that
you
have
ridges
and
furrows
is:
it
affects
how
you
measure
and
then
so
what
we
did
to
be
able
to
calibrate
this.
B
We
did
also
in
each
of
the
different
zones
in
the
fields
of
ERT,
so
we
have
ERT
and
EMI
transics.
Also,
all
the
time.
Several
days
time,
we
have
normal
reciprocal
measurements.
There
again
some
questions
for
D
RT.
It
seems
easy,
but
yes,
of
course,
a
3d
current
flow
with
the
strange
region
furrow.
So
he
puts
transacts,
for
example,
on
the
ridge.
But
then
your
current
flow
is
3d,
of
course,
because
you
don't
have
a
flat
surface.
So
how
does
this
yeah?
How
should
you
invert
that
in
a
smart
way?
C
B
Centimeters,
oh
yeah,
but
our
electron,
that's
pretty
big.
Now
it's
a
big
juice,
so
Derek
come
to
questions
of.
Is
it
necessary
I,
don't
know
whether
sympathy
is
able
to
model
the
electrodes
in
this
system
or
not
and
so
yeah.
Are
we
finally
able,
with
the
RT,
also
to
measure
plan
for
our
take
or
is
it
just?
Are
they
just
too
many
errors
from
all
these
other
things
like
topography
here,
plan
5,
so
to
show
you
what
we
did.
This
is
my
data.
So
this
is
the
fields
you
can
see
there.
B
B
In
the
which
is
zoom
the
area,
so
we
have
one
year
t
transact.
We
always
measure
its
own
region
in
the
furrow,
because
we
also
were
interested
to
know
whether
ERT
what
word
best
actually
on
the
fervor
injuries,
and
so
we
have
one
zone
here,
that's
the
first
one
to
indicate
where
we
put
transit
stuff,
but
then
we
wanted
to
know
that
this
seems
to
be
a
different
zone.
B
So
we
prolonged
one
two
to
have
the
whole
transition
also
and
then,
if
you
go
to
D,
you
can
see
that
this
is
exactly
the
same
portion
of
the
field.
But
here
you
see
the
EMI
data
and
you
see
that
here.
Actually
there
is
some
strange
thing
with
the
EC
going
on.
You
see
there
is
some,
no,
no
just
exactly
so.
The
model
is
a
bit
slow,
but
yeah.
B
B
D
C
C
B
So
that's
in
line!
So
that's
why
we
have
these
four
zones
actually
with
different
trends.
X2
see,
okay,
why
do
we
see
differences
here
better
in
soil
and
we
did
this
over
time.
I
think
something
like
17
Thanks.
So
here
you
see
just
the
time
frequency.
So
it
did.
We
left
the
electrodes
and
the
cables
in
the
field
yeah
and
we
just
came
back
every
so
and
so
time
so
more
or
less
bi-weekly
I
think
if
I
remember
well
during
the
whole
growing
season
so
from
bare
soil
up
till
harvest.
B
We
have
sensors
out
so
that
later
we
put
sensors
close
to
these
transects.
So
that's
actually
the
yellow
dots.
You
will
see
there's
at
the
yellow
dots
there
are
places
where
we
have
sensors.
So
what's
the
difference
between
C
and
D
I
think
if
I
remember
well,
this
is
just
the
same
image,
but
the
first
one
is
with
vegetation
and
C's
without
vegetation.
So
this
is
just
the
soil.
Has
different
colors
also
and
places.
D
B
Thought,
oh
sorry,
for
asking
wait.
So
this
is
the
sword
I'm
we're
looking
at
I
just
wanted
to
show
you,
because
what
we
typically
have
there
is
it's
an
artificial.
It's
a
human
later
so
during
history,
what
they
did.
They
always
put
animal
organic
material
on
top
of
the
sandy
soil,
which
was
basically
infertile,
and
so
that
caused
this
40
centimeter
thick
organics
and
affection.
So
it's
then
mixed
with
glitter
from
animals
for
hundreds
of
years.
Okay,.
I
B
B
Yeah
anyways
yeah,
it's
just
normally,
agriculture
would
not
have
been
possible
if
it
was
not
actively
amended
by
human
beings
for
a
long
time
and
so
the
electrodes.
If
they
were
in
the
rich.
What
we
did
is
we
made
some
electrodes
that
were
isolated
insulated
with
some,
so
you
could
they
are
in
further
than
that
they
are
actually
conducted
to
the
black
part.
We
put
some
coating
around,
but
it's
not
in
touch
with
the
soil.
So
that's
me.
B
C
B
C
B
B
So
this
is
yeah
before
starting
even
in
the
field,
we
did
some
modeling
work
because
I
was
very
concerned
with
the
effect
of
lead,
yeah
the
uncertainties
we
have
on
the
micro
topography.
So
we
did
some
in
all
directions.
Some
modeling
work.
Okay.
What
would
happen
if
this
Ridge
would
erode,
for
example,
to
three
centimeters
which
remove
over
time
because
of
weight
and
so
yeah
going
away
so
how
which
error
would
be
made?
Is
we
don't
put
that
into
the
EIT
mesh
every
time?
B
It's
probably
you,
farmers
not
going
to
or
yeah
we
didn't
even
measure.
Every
time
we
went
that
we
didn't
measure
the
property
so
and-
and
the
issue
is
with
that,
when
we
looked
at
that,
actually
that
we
create
exactly
the
same
patter,
that's
what
we
want
to
see
from
rougarou
optic,
for
example,
if
you
would
have
a
plan
taking
a
quarter
into
rich,
you
would
expect
likes
kind
of
red
zone
appearing
in
the
middle
of
the
rich
to
treat
as
a
route
are
up,
take
both
and
well
the
errors
you
made
because
of
micro
topography.
B
Look
exactly
the
same
as
these
things,
and
so
it's
really
dangerous.
Actually,
because
yeah,
you
could
interpret
things
totally
wrong
right.
So
that's
why
we
decided
not
to
take
these
transversal
transits
because
they
are
the
worst.
Actually
they
yeah,
the
smallest
error,
becomes
problematic
in
this
type
of
setup.
So
this
kind
of
exercise
I,
would
probably
also
try
to
do
in
simple
to
get
to
know
the
model
we
did
somewhere
upon
the
data
errors.
We
can
work
on
that
later.
B
This
is
just
reciprocal
error
in
time
for
different
dates,
and
so
this
would
be
the
time
lapse.
Inversions
of
one
of
the
transacts
yeah,
where
you
can
still
see
that
without
working
so
much
on
it,
we
already
have
some
artifacts,
sometimes
of
course
here,
but
you
do
have
something
stable.
You
see
a
drive
in
front,
so
yeah
I
would
like
to
work
on
the
scat
type
of
time-lapse
stuff
with
our
data,
its
impact.
Sorry.
C
B
J
B
That's
what
we
did
now,
but
yeah.
That's
always
it's
always
a
tricky
thing
in
other
studies.
Sometimes
I
preferred
not
to
use
the
time
lapse
because
of
the
constraint
and
in
time
is
often
smoothing
a
lot
what's
happening
and
then
I
wasn't
always
so
much
convinced
of
the
advantage
with
you.
That's
a
lot
of
question
a
so
time.
That's
a
lot
and
which
constraint,
design,
I,
don't
know
whether
you
have
worked
a
lot
on
that
fixing.
Thank
you
so.
B
Think
in
this,
in
this
thing,
is
an
l1
in
time,
but
invite
Yemeni.
We
now
have
recently
they
added
the
option
of
trying
three
or
four
different
constraints
in
time.
So
I
don't
know
what
exactly
gal
did
here,
but
I
think
if
it's
only
l1
in
time,
but
anyway,
this
is
this
is
just
you
have
to
show
you
what
I
want
to
do.
This
is
yeah.
This
was
the
first
trial
he
did,
and
this
is
only
flat.
So
again,
then
we
have
to
person
the
inversion
we
have
to
have
a
3d
mesh.
B
I
saw
something
like
this,
so
this
is
actually
the
horizontal
case
where
we
did
one
trial
with
a
master
student
after
so
your
heads
first
a
measurement
before
an
irrigation,
that's
the
first
graph.
The
second
graph
is
a
difference,
then
so
the
Delta
again
and
the
chart
to,
but
so
the
middle
one
is
just
after
variation
and
then
the
last
one
is
one
day
after
irrigation
is
to
show
you
that
we
do
see
where
water
infiltrates
we
do
see
that
it
disappears
by
capillarity,
then
afterwards
and
so
on.
B
But
for
me
there's
a
lot
of
technical
just
to
get
first,
a
good
inversion
with
ERT
stuff,
because
even
for
the
2d
transacts
on
the
richest,
we
need
the
forward
all
to
be
treated
because
the
current
is
quite
complex
and
then
yeah
how
to
constrain
the
domain
and
so
on
yeah.
So
these
are
things
to
work
on.
So
when
you
say
irrigation.
B
Captured
the
leaves
of
capture,
and
so
it's
going
to
the
riches
directly
just
not
very
efficiently,
then
we
did
it
next
to
the
XOR,
always
minimum
one
meter,
apart
from
the
ERT
lines
and
then
covering
all
the
turret
societies,
because
I
didn't
fund
only
a
map
I
wanted
to
see
how
the
EMI
was
reacting.
Also
in
time,
and
so
here
it's
varied
it's
fairly.
Let
me
just
made
something
ourselves
from
Blum,
very
easy
stuff
to
pull
over
the
ridges
and
DMI
device.
B
Is
there
in
one
of
the
legs
the
other
like
is
to
stabilize,
and
so
we
pulled
it
from
one
side
of
the
field
to
the
other
side,
that's
for
representative
places
so
that
we
would
cover
some
of
the
basic
features
that
are
in
the
initial
map,
also
true
attack.
So
it
is
your
transmitter
part
of
the
square
to
be
on.
B
B
Well
so
yeah
it's
there
so
that
the
antenna
they're
actually
on
top
of
the
GPS
for
me.
But
if
you
go
to
the
rich
to
the
firm
sorry
down
to
the
curve
yeah
there,
that's
that's
the
device,
it
has
a
receiver
and
the
transmitter.
It's
the
CMT
mini
explore,
see
in
CMD,
mini
explore.
It
has
a
tree.
It's
a
three
coil
device
but
yeah
fairly
small,
all
distances,
hate.
I
B
I
B
So
it's
quite
resistive,
but
it
contains
also
some
iron,
so
I
am
Not
sure
you
should
actually
also
analyze
that
once
in
in
the
lab
to
see
what
exactly
the
effect
is,
the
water
is
really
a
red
color.
So
normally
it
should
be.
Resistive
grandmother
is
much
more
resistant
and
the
water
in
the
soil,
but
in
this
case
I
yeah
I
should
double-check
with
some.
We.
G
J
B
So,
just
to
show
you
from
the
side,
so
this
is
how
it
works.
That's
really
like
we
just
said
at
the
end
of
the
project.
If
you
have
to
do
this
one
more
time
in
a
season,
we
will
buy
a
donkey,
so
it
was
really
hard.
Actually,
when
the
plants
are
there,
you
it's
hard
work
so
yeah,
so
we
did
already
some
work
to
just
validate
what
we
had
there.
For
example,
here
you
see
transactive
PRT,
together
with
a
transit
of
emi.
Ert
is
the
blue
dots
and
the
emi
data
would
then
have
selected.
B
The
cells
that
are
corresponding
to
the
EMI
mesh
actually
have
some
sort
of
some
sort
of
average
comparison.
You
can
see
that
we
do
capture
the
same.
It
originated
whether
there
are
some
differences
also,
but
this
is
also
something
I
might
want
to
do,
because
at
some
point
with
the
people
that
know
really
neutral
ERT,
what
sort
of
basic
job.
B
B
No
because
we
did
not
have-
and
we
take
a
day
to
measure
everything,
so
we
did
not
select
very
big
distances.
We
only
selected
up
til
think
two
or
three
meters,
okay,
but
we
could
ask
or
say
you
could,
but
this
was
not
the
aim
at
all.
So
no
but
I
was
just
showing
about
when
you're
trying
to
compare
ERT.
C
B
D
B
B
G
B
B
For
example,
here
you
see
these
Peaks,
so
the
sensors
are
directly
reacting
to
irrigation,
but
others
have
strange
behavior
where,
for
example,
you
only
see
some
slow
buildup,
which
is
probably
because
the
water
is
not
taking
preferential
pathways
and
then
my
capillarity
going
to
some
other
spots
so
which
is
interesting
because
we
can,
we
can
see
different
behaviour
and
also
in
the
geophysical
it
so
yeah.
Here.
B
You
probably
can
tell
me
a
lot
more
about
what's
in
the
data
than
I
know
at
the
moment,
and
then
my
final
goal
would
be
the
middle
Pacific,
also
from
Munich,
who
is
also
working
with
this
in
my
stuff
to
look
at
yeah.
Actually,
what
they
do
now
is
calibrate
with
ERT.
Traditionally,
yes,
oh,
they
do
ERT
sounding
before
they
do
their
yeah.
My
mapping
and
so
I
would
like
to
yeah
see.
Okay,
how?
B
How
is
this
is
this
relationship
stable
whole
is
yucky
really
useful
for
you,
my
or
essence,
because
a
lot
of
people
actually
have
could
criticize
that
ties
the
SDRT
really
the
standards
to
calibrate
the
in
mind.
Let's
midst
arrangement
from
the
Airways
I
always
found
that
strange
that
they
do
that,
but
and
other
specialists
anyway.
So
yeah,
that's
the
final
rule
to
be
to
the
way
we
know
each
other.
C
B
B
J
C
B
B
B
J
B
J
B
J
K
K
B
Say
this
is
really
this
is
a
specialty
of
the
post
think
that
it's
working
with
me
on
this
project
so
he's
his
whole
PhD
was
about
calibrating
here,
my
for
agricultural
and
environmental
applications,
so
I
should
look
I
hold
that
before
I
start
working
with
it,
but
yeah
I
mean
but
I
always
find
strange.
Is
that
in
these
geological
applications
you
don't
do
all
this
stuff
and
then
they
buy
it
with
all
this
paper
on
agriculture.
They
have
to
do
this
or
they
do
this
stuff.
B
E
E
L
E
B
E
C
C
G
D
C
A
B
I
would
like
to
start
with
us-
maybe
it's
not
the
most
beautiful,
but
the
simplest,
the
master-student
that
did
the
transversal
transit
so
with
automatic
micro
topography
units
on
the
one
irrigation
events.
Actually,
if
we
would
be
able
to
invert
that
data
again,
like
I,
did
I
give
me,
but
I
still
had
to
work
there
on.
There
was
quite
a
large
irony
left,
so
the
the
fit
was
not
very
well
in
these
first
inversions,
so
I
had
to
still
work
on
the
processing
and
the
the
inversion.
J
B
K
K
I
B
B
I
think
it's
fairly
important
I
could
even
just
use
the
for
modeling,
where
we
did
selling
synthetic
data
for
that,
because
to
see
a
lot
quality,
it's
maybe
better
to
first
work
with
synthetic
data,
and
then
so
we
have
all
these.
Actually,
this
is
the
real
thing
of
it.
We
have
all
this
also
with
a
hydrological
model
where
we
simulated
Twitter
uptake
so
I
have
just
the
data
in
terms
of
so
moisture
in
the
model
that
we
could
then
use
to
test
all
of
this
stuff.
Actually,
first,
that's
what
we
needed
to
power
feel
so.
C
B
I
would
start
with
that
one,
because
I
think
that
the
synthesis
and
you've
really
got
a
lot
of
topography
on
the
electrodes
right
and
that's
in
terms
of
errors.
That's
the
worst,
so
I
think
your
data
will
be
the
worse
than
that
one.
But
it's
easiest
to
learn
to
work
with
simply
I
think
yeah,
okay,
okay,.
I
Comment
so
I
just
wanted
to
give
a
shout
out
to
Tebow
and
stay
thanks
work
on
working
on
this
cool
request
with
a
gravity
notebook
for
me:
notebooks,
there's
two
of
them
with
Daquan
students.
So
it's
really
exciting
to
see
that
progressing
and
coming
in
and
valuable
resources
for
all
of
us,
so
share
Tebow
and
to
sequence
student,
which
I
don't
actually
remember
his
name
keyboard.
You
know
his
name,
no.
H
I
I
We
have
the
this
week
channel
on
slack,
and
so
what
that
is,
is
we
used
it
to
post
like
an
image
and
a
few
bullet
points
of
just
like
something
interesting
that
you've
done
this
week,
and
so
it's
kind
of
a
nice
way
to
just
show
my
dad
something,
and
it's
also
like
I,
think
a
nice
sort
of
like
self-accountability
thing
making
sure
you
actually
do
something
every
week
and
so
I
was
wondering
if
this
is
something
that
people
would
be
interested
in
sort
of
reviving
like
you,
don't
there's
no
requirement
they
have
to
post
every
week
if
you
post
once
it's
like,
you
can
post
every
every
time
you
have
something
interesting
to
share,
and
then
what
we've
done
is
just
assembled
that
into
a
quick
vlog.
I
H
B
C
B
I
That's
right,
I've
been
sitting
there.
It's
on
a
list
of
things
to
people
actually
just
take
a
look
at
the
website.
The
link,
that's
in
back
for
requests,
they'll,
be
great,
feel
free
to
provide
any,
and
hopefully
we
can
get
that
into
next
week.
They
were
still
a
couple
things
just
sort
of
which
respected
custom.