IEEE Transactions on Geoscience and Remote Sensing,
Journal Year:
2023,
Volume and Issue:
61, P. 1 - 19
Published: Jan. 1, 2023
Vegetation
water
status,
an
important
physiological
characteristic
of
vegetation,
lacked
a
global-scale
estimate
method.
In
this
study,
global
vegetation
moisture
relative
index
(VMRI)
was
established
based
on
the
optical
depth
(VOD)
and
leaf
area
compared
to
live
fuel
content
(LFMC)
in-situ
measurements
environmental
factors
(soil
from
different
depths,
precipitation,
vapor
pressure
deficit,
ratio
actual
potential
evapotranspiration,
self-calibrating
Palmer
drought
severity
index).
Validation
using
LFMC
indicated
that
VMRI
could
characterize
status
(R
median
=
0.37)
establishment
method
eliminate
influence
aboveground
biomass
in
VOD.
The
results
correlated
comparison
between
showed
positive
significant
correlations
most
regions.
Besides,
more
with
shrublands
grasslands
(e.g.,
R
xmlns:xlink="http://www.w3.org/1999/xlink">mean
0.38
multi-depth
soil
moisture)
than
forests
savannas
0.15),
water-limited
regions
0.33)
were
higher
those
non-water-limited
0.18).
Moreover,
deeper
provided
information
above
60°N.
Furthermore,
trends
displayed
synchronization,
about
60%
pixels
showing
same
trend
85%
same-trend
decreasing
Particularly,
interannual
variations
time-lagged
responses
drought.
Overall,
provides
new
measurement-independent
estimation
for
affected
by
multiple
at
scale.
Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(19)
Published: Oct. 8, 2024
Abstract
Water
stress
in
the
Amazon
is
exacerbated
by
rising
temperatures
and
reduced
moisture
levels.
However,
understanding
forest
responses
to
increased
aridity
hindered
limited
situ
water
potential
observations
Amazon.
Remote
sensing
of
content
has
emerged
as
a
promising
metric.
Vegetation
Content
(VWC)
diurnal
dynamics
hypothesized
reflect
responses.
Conventional
sensors'
low
sampling
rates
impede
capturing
studying
sub‐daily
VWC
dynamics.
Leveraging
Global
Navigation
Satellite
System
Reflectometry
(GNSS‐R)
with
unprecedented
rates,
this
study
reveals
significant
disparities
morning
evening
VWCs
Amazon,
for
example,
1.1
1.0
kg/
during
wet
dry
seasons
2019.
A
strong
correlation
between
(the
difference
VWCs)
vapor
pressure
deficit
observed
Amazonian
peatland.
This
highlights
from
innovative
remote
techniques
elucidating
critical
ecosystems.
Science Advances,
Journal Year:
2024,
Volume and Issue:
10(36)
Published: Sept. 6, 2024
Canopy
leaf
abundance
of
Amazon
rainforests
increases
in
the
dry
season
but
decreases
wet
season,
contrary
to
earlier
expectations
water
stress
adversely
affecting
plant
functions.
Drivers
this
seasonality,
particularly
role
availability,
remain
debated.
We
introduce
satellite-based
ecophysiological
indicators
demonstrate
that
are
constrained
by
during
seasons
despite
light-driven
canopy
greening.
Evidence
includes
a
shifted
partitioning
photosynthetically
active
radiation
toward
more
isoprene
emissions
and
synchronized
declines
xylem
potentials.
In
addition,
we
find
convective
storms
attenuate
ecosystem
greening
late
then
reverse
net
loss
improving
rainforest
area
predictability
24
31%.
These
findings
highlight
susceptibility
increasing
risks
drought
windthrow
disturbances
under
warming.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(3), P. 567 - 567
Published: Feb. 1, 2024
Comprehending
the
spatiotemporal
dynamics
and
driving
factors
of
small
micro
wetlands
(SMWs)
holds
paramount
significance
in
their
conservation
sustainable
development.
This
paper
investigated
evolution
mechanisms
SMWs
Yellow
River
Basin,
utilizing
buffer
zones,
overlay
analysis,
Geodetector
model
based
on
Landsat
satellite
images
an
open-surface
water
body
dataset
from
1990
to
2020.
The
results
revealed
that
(1)
2020,
Basin
exhibited
overall
pattern
fluctuation
reduction.
total
area
decreased
by
approximately
1.12
×
105
hm2,
with
predominant
decline
occurring
0–1
hm2
1–3
size
categories.
In
terms
spatial
distribution,
Qinghai
Gansu
significantly,
while
Inner
Mongolia,
Henan,
Shandong
gradually
increased.
(2)
From
were
mostly
converted
into
grassland
cropland,
some
transformed
impervious
surface
barren,
only
a
percentage
other
land
types
basin.
(3)
alterations
influenced
factors,
interplay
exhibiting
nonlinear
or
bilinear
enhancement.
Among
these
annual
precipitation,
elevation,
potential
evapotranspiration
primary
natural
influencing
changes
distribution
SMWs.
On
hand,
use
cover
type,
gross
domestic
product
(GDP),
road
distance
main
anthropogenic
factors.
IEEE Transactions on Geoscience and Remote Sensing,
Journal Year:
2023,
Volume and Issue:
61, P. 1 - 19
Published: Jan. 1, 2023
Vegetation
water
status,
an
important
physiological
characteristic
of
vegetation,
lacked
a
global-scale
estimate
method.
In
this
study,
global
vegetation
moisture
relative
index
(VMRI)
was
established
based
on
the
optical
depth
(VOD)
and
leaf
area
compared
to
live
fuel
content
(LFMC)
in-situ
measurements
environmental
factors
(soil
from
different
depths,
precipitation,
vapor
pressure
deficit,
ratio
actual
potential
evapotranspiration,
self-calibrating
Palmer
drought
severity
index).
Validation
using
LFMC
indicated
that
VMRI
could
characterize
status
(R
median
=
0.37)
establishment
method
eliminate
influence
aboveground
biomass
in
VOD.
The
results
correlated
comparison
between
showed
positive
significant
correlations
most
regions.
Besides,
more
with
shrublands
grasslands
(e.g.,
R
xmlns:xlink="http://www.w3.org/1999/xlink">mean
0.38
multi-depth
soil
moisture)
than
forests
savannas
0.15),
water-limited
regions
0.33)
were
higher
those
non-water-limited
0.18).
Moreover,
deeper
provided
information
above
60°N.
Furthermore,
trends
displayed
synchronization,
about
60%
pixels
showing
same
trend
85%
same-trend
decreasing
Particularly,
interannual
variations
time-lagged
responses
drought.
Overall,
provides
new
measurement-independent
estimation
for
affected
by
multiple
at
scale.
