The
prediction
of
the
ecohydraulic
and
ecohydrological
structures
vegetated
flows
is
extremely
important;
particularly
because
well-known
Climate
Change
Global
Warming
implications.
This
study
aims
at
monitoring
real-scale
Ecohydrodynamics
ditches
hardly
covered
by
riparian
stands,
through
analysis
their
reflectance
signature.
A
system
composed
a
cruising
drone
thermographic
camera
was
employed
in
present
experimental
study.
Once
main
average
turbulence
traits
were
measured
directly
field,
correlation
between
plant's
Leaf
Area
Index
(LAI)
thermal
properties
studied
to
assess
impact
drone-based
thermometry
methods
techniques
on
predictions
flow
trends
waterways.
Agronomy,
Journal Year:
2022,
Volume and Issue:
12(7), P. 1650 - 1650
Published: July 10, 2022
The
growth
process
of
soybean
plants
needs
a
lot
water.
rapid
detection
canopy
wilting
under
drought
stress
is
great
significance
for
variety
breeding,
cultivation
regulation
and
fine
management.
Aiming
at
the
problems
cumbersome
time-consuming
when
traditional
chemical
technology
was
used
to
determine
index,
calculation
method
index
proposed
in
this
study
based
on
multispectral
images’
Fourier
transform.
Suinong
26,
northeast
variety,
taken
as
object.
First,
four
kinds
images
green,
red,
red-edge
near-infrared
channels
were
acquired
by
Sequoia
camera.
Second,
reflection
image
preprocessed
median
filter
mean
filter,
target
area
extracted
iterative
threshold
affine
transformation
algorithm,
effective
segmentation
rate
97.02%.
In
addition,
transform
analyze
spectrum
characteristics
canopy’s
image.
When
radius
each
channel
50,
energy
reached
more
than
98%
concentrated
low-frequency
region
center.
Finally,
according
difference
between
DC
component
proportion
total
spectral
normal
treatment,
model
constructed
results
showed
that
treatment
(green,
near-infrared,
red
red-edge)
2.38,
3.11,
3.56
4.11,
respectively.
effectiveness
verified
analyzed
using
average
leaf
inclination
angle.
determination
coefficient
R2
calculated
angle
0.85.
This
can
provide
quantitative
basis
technical
support
scientific
ecological
morphological
phenotypic
traits
stress.
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
144, P. 109548 - 109548
Published: Oct. 11, 2022
The
vegetation
development
in
riverbeds
creates
obstructions
to
the
regular
water
flow
with
flooding
hydraulic
risk
increase.
Giant
reed
(GR)
(Arundo
donax
L.)
is
one
of
most
successful
invasive
species
riparian
ecosystems
Mediterranean
semi-arid
climate
conditions,
significant
public
administrations
costs
for
its
removal
and
disposal.
At
meantime,
due
high
biomass
yield
adaption
capacity
several
GR
a
very
promising
no-food
crop
produce
biogas
by
anaerobic
digestion
(AD).
research
activity
provides
involvement
territories
belonging
inner
areas
Sicily,
especially
Calatino
one,
which
SIMBIOSI
Consortium
operates
an
AD
plant
fed
agricultural
by-products
from
other
close
agro-industrial
companies.
aim
study
was
map
quantify
actual
spatial
distribution
watercourses
embankments
through
Remote
Sensing
(RS)
techniques
applied
Geographic
Information
System
(GIS)
environment.
In
this
regard,
method
based
on
automatic
supervised
classification,
three
different
combinations
spectral
bands
(True
Color
Image
–
TCI;
Near-Infrared,
Green
Blue
NGB;
Vegetation
Red
Edge
VRE)
Sentinel-2
satellite
images
related
summer
season
(11th
August
2019),
identifying
suitable
classification
GR.
results
showed
that
VRE
composition
accurate
combination
identification
GR,
followed
NGB
image.
worst
performance
obtained
using
TCI
combination.
A
further
elaboration
carried
out
combining
classified
images,
order
obtain
more
localization
quantification
final
thematic
allowed
correctly
classify
46
%
cases,
overall
accuracy
85.02
Kappa
Coefficient
Agreement
value
equal
0.81.
Finally,
surface
covered
area
(computed
GIS
environment)
about
2
km2
estimated
biomass,
available
biomethane
production,
obtainable
maintenance
interventions
would
amount
11,780
tons
year−1.
could
contribute
plan
reduce
streams
valley
at
intersections
infrastructure
works.
Furthermore,
proposed
methodology
can
be
used
stakeholders
marginal
areas,
management,
offsetting
energy
use
collected
biomass.
The
prediction
of
the
ecohydraulic
and
ecohydrological
structures
vegetated
flows
is
extremely
important;
particularly
because
well-known
Climate
Change
Global
Warming
implications.
This
study
aims
at
monitoring
real-scale
Ecohydrodynamics
ditches
hardly
covered
by
riparian
stands,
through
analysis
their
reflectance
signature.
A
system
composed
a
cruising
drone
thermographic
camera
was
employed
in
present
experimental
study.
Once
main
average
turbulence
traits
were
measured
directly
field,
correlation
between
plant's
Leaf
Area
Index
(LAI)
thermal
properties
studied
to
assess
impact
drone-based
thermometry
methods
techniques
on
predictions
flow
trends
waterways.
