Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: March 22, 2023
Abstract
Solar
spectral
reflectance
and
transmittance
of
natural
leaves
exhibit
dramatic
similarity.
To
elucidate
the
formation
mechanism
physiological
significance,
a
radiative
transfer
model
was
constructed,
effects
stacked
mesophyll
cells,
chlorophyll
content
leaf
thickness
on
visible
light
absorptance
were
analyzed.
Results
indicated
that
scattering
caused
by
cells
is
responsible
for
The
optical
path
in
increased
with
process,
resulting
significantly
reduced
meanwhile
at
low
level,
thus
tends
to
maximum
absorption
photosynthetically
active
radiation
(PAR)
enhanced.
Interestingly,
as
two
key
functional
traits
affecting
process
PAR,
certain
environment
show
convergent
behavior,
high
leaves,
which
demonstrates
PAR
utilizing
strategies
leaves.
This
work
provides
new
perspective
revealing
evolutionary
processes
ecological
can
be
adopted
guide
improvement
directions
crop
photosynthesis.
Sensors,
Journal Year:
2019,
Volume and Issue:
19(7), P. 1622 - 1622
Published: April 4, 2019
Whether
for
identification
and
characterization
of
materials
or
monitoring
the
environment,
space-based
hyperspectral
instruments
are
very
useful.
Hyperspectral
measure
several
dozens
up
to
hundreds
spectral
bands.
These
data
help
reconstruct
properties
like
reflectance
emission
Earth
surface
absorption
atmosphere,
identify
constituents
on
land,
water,
in
atmosphere.
There
a
lot
possible
applications,
from
vegetation
water
quality
greenhouse
gas
monitoring.
But
actual
number
missions
is
limited.
This
will
be
changed
next
years
by
different
missions.
The
German
Aerospace
Center
(DLR)
Sensing
Imaging
Spectrometer
(DESIS)
one
new
currently
existing
instruments,
launched
2018
ready
reduce
gap
space-born
data.
instrument
operating
onboard
International
Space
Station,
using
Multi-User
System
(MUSES)
platform.
has
235
bands
wavelength
range
visible
(400
nm)
near-infrared
(1000
nm),
which
results
2.5
nm
sampling
distance
ground
30
m
400
km
orbit
Station.
In
this
article,
design
described.
Global Change Biology,
Journal Year:
2022,
Volume and Issue:
28(9), P. 2956 - 2978
Published: Feb. 19, 2022
Extreme
events
such
as
the
summer
drought
of
2018
in
Central
Europe
are
projected
to
occur
more
frequently
future
and
may
cause
major
damages
including
increased
tree
mortality
negative
impacts
on
forest
ecosystem
services.
Here,
we
quantify
response
>1
million
pixels
10
×
m
across
Switzerland
terms
resistance,
recovery,
resilience.
We
used
Normalized
Difference
Water
Index
(NDWI)
derived
from
Sentinel-2
satellite
data
a
proxy
for
canopy
water
content
analyzed
its
relative
change.
calculated
NDWI
change
between
2017
pre-drought
years
(indicating
resistance),
2019
post-drought
recovery),
2017-2019
resilience).
Analyzing
this
large
natural
experiment,
found
that
4.3%
Swiss
declined
2018,
indicating
areas
with
low
resistance
effects.
While
roughly
50%
area
recovered,
2.7%
forested
continued
decline
2019,
suggesting
prolonged
effects
or
delayed
damage.
differential
responses
associated
site
topographic
characteristics
stand
characteristics,
lesser
extent
climatic
conditions
interactions
these
drivers.
Low
high
recovery
were
most
prominent
at
edges,
but
also
south-facing
slopes
lower
elevations.
Tree
functional
type
was
important
driver
resilience,
damage
stands
conifer
abundance.
Our
results
demonstrate
suitability
satellite-based
quantification
drought-induced
spatial
resolution
areas.
Such
information
is
predict
how
local
impact
vulnerability
extreme
help
search
appropriate
adaptation
strategies.
New Phytologist,
Journal Year:
2024,
Volume and Issue:
243(1), P. 111 - 131
Published: May 6, 2024
Summary
Leaf
traits
are
essential
for
understanding
many
physiological
and
ecological
processes.
Partial
least
squares
regression
(PLSR)
models
with
leaf
spectroscopy
widely
applied
trait
estimation,
but
their
transferability
across
space,
time,
plant
functional
types
(PFTs)
remains
unclear.
We
compiled
a
novel
dataset
of
paired
spectra,
47
393
records
>
700
species
eight
PFTs
at
101
globally
distributed
locations
multiple
seasons.
Using
this
dataset,
we
conducted
an
unprecedented
comprehensive
analysis
to
assess
the
PLSR
in
estimating
traits.
While
demonstrate
commendable
performance
predicting
chlorophyll
content,
carotenoid,
water,
mass
per
area
prediction
within
training
data
efficacy
diminishes
when
extrapolating
new
contexts.
Specifically,
locations,
seasons,
beyond
leads
reduced
R
2
(0.12–0.49,
0.15–0.42,
0.25–0.56)
increased
NRMSE
(3.58–18.24%,
6.27–11.55%,
7.0–33.12%)
compared
nonspatial
random
cross‐validation.
The
results
underscore
importance
incorporating
greater
spectral
diversity
model
boost
its
transferability.
These
findings
highlight
potential
errors
large
spatial
domains,
diverse
PFTs,
time
due
biased
validation
schemes,
provide
guidance
future
field
sampling
strategies
remote
sensing
applications.
Remote Sensing of Environment,
Journal Year:
2020,
Volume and Issue:
252, P. 112170 - 112170
Published: Nov. 11, 2020
Functional
diversity
(FD)
provides
a
link
between
biodiversity
and
ecosystem
functioning,
summarizing
inter-
intra-specific
variation
of
functional
traits.
However,
quantifying
plant
traits
FD
consistently
cost-effectively
across
large
heterogeneous
forest
areas
is
challenging
with
traditional
field
sampling.
Airborne
light
detection
ranging
(LiDAR)
imaging
spectroscopy
provide
spatially
explicit
data,
which
allow
mapping
selected
at
different
spatial
scales.
We
develop
an
individual
tree-based
method
to
measure
from
tree
neighborhoods
whole
forests,
demonstrate
the
approach
by
over
one
million
trees
in
subtropical
China.
retrieved
canopy
morphological
(95th
quantile
height,
leaf
area
index
foliage
height
diversity)
physiological
(proxies
nitrogen,
carotenoids
specific
area)
for
each
crown
LiDAR
respectively.
Based
on
multivariate
trait
space
spanned
six
axes
filled
measured
individuals,
we
mapped
as
richness,
divergence
evenness,
explored
patterns
well
FD–area
FD–tree
number
relationships.
The
results
show
that
LiDAR-derived
spectral
indices
are
consistent
measurements
weak
correlations
other
level.
Morphological
richness
follows
hump-shaped
pattern
along
elevational
gradient
984–1805
m,
maximum
values
elevations
around
1450
while
high
occurs
medium
elevations.
At
scale
30
×
increases
continuously
density,
but
decreases
again
very
densities.
Moreover,
shows
logarithmic
relationship
increasing
or
trees,
local
convergence
predominant
our
study
area.
ability
quantify
using
remote
sensing,
pathway
conduct
individual-level
trait-based
ecology
wall-to-wall
data.
Agricultural and Forest Meteorology,
Journal Year:
2022,
Volume and Issue:
323, P. 109059 - 109059
Published: June 24, 2022
Chlorophyll
meters
enable
efficient
and
non-destructive
estimation
of
leaf
chlorophyll
concentration
(LCC),
but
require
calibration
against
destructively-determined
values
to
provide
an
absolute
quantity
that
is
comparable
between
different
studies
species.
Well-established
instruments
can
accurate
LCC
estimates,
the
performance
recent
low-cost
devices
less
clear.
Questions
also
remain
over
choice
generic
or
species-specific
functions.
Additionally,
little
attention
has
been
paid
transmittance
spectroscopy,
which
offers
substantially
increased
spectral
sampling,
as
a
potential
alternative.
We
investigated
well-established
Konica
Minolta
SPAD-502+
Opti-Sciences
CCM-200
atLEAF
CHL
PLUS
PhotosynQ
MultispeQ
V1.0
for
forest
LCC.
calibrated
each
meter
eight
temperate
deciduous
broadleaf
species,
characterised
relationships
instruments.
assessed
whether
spectroscopy
could
improved
accuracy.
All
demonstrated
similarly
strong
with
LCC,
indicating
once
calibrated,
even
represent
suitable
estimation.
With
exception
oak,
–
were
consistent
these
function
may
be
depending
on
required
Specifically,
provided
by
functions
fell
within
prediction
uncertainties
most
considered
The
explained
2%
16%
variation
in
than
functions,
resulting
mean
increase
RMSE
(NRMSE)
just
0.01
g
m−2
0.02
(2%
5%).
Transmittance
was
able
meters,
they
miss
some
relevant
information
at
blue
green
wavelengths.
However,
this
comes
expense
reduced
practicality
field.