Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(14), P. 2611 - 2611
Published: July 17, 2024
Due
to
the
external
environment
and
buoyancy
of
cyanobacteria,
inhomogeneous
vertical
distribution
phytoplankton
in
eutrophic
lakes
affects
remote
sensing
reflectance
(Rrs)
inversion
surface
chlorophyll-a
concentration
(Chla).
In
this
study,
profiles
Chla(z)
(where
z
is
water
depth)
field
Rrs
(Rrs_F)
were
collected
utilized
retrieve
Chla
Lake
Chaohu
China.
was
categorized
into
vertically
uniform
(Type
1:
N
=
166)
non-uniform
2:
58)
types.
Based
on
validation
atmospheric
correction
performance
Geostationary
Ocean
Color
Imager
(GOCI),
a
model
developed
for
from
2011
2020
using
GOCI
data
(Rrs_G).
(1)
Five
functions
compared,
best
result
found
×
exp(b
z)
+
c
(R2
0.98,
RMSE
38.15
μg/L).
(2)
A
decision
tree
established
with
alternative
floating
algae
index
(AFAIRrs),
fluorescence
line
height
(FLH),
wind
speed
(WIN),
where
overall
accuracy
89%
Kappa
coefficient
0.79.
The
Type
1
empirical
relationship
between
(z
surface)
AFAIRrs
0.58,
10.17
For
2,
multivariate
regression
models
estimate
structural
parameters
combined
Rrs_G
environmental
0.75,
72.80
(3)
There
are
obvious
spatial
variations
Chla(z),
especially
depth
0.1
m;
largest
diurnal
observed
at
12:16
13:16
local
time.
method
can
determine
different
layers
each
pixel,
which
important
scientific
assessment
biomass
lake
carbon
provide
information
short-term
prediction
algal
blooms
(and
generation
corresponding
warnings)
management.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Journal Year:
2024,
Volume and Issue:
17, P. 13494 - 13505
Published: Jan. 1, 2024
The
surface
water
and
ocean
topography
(SWOT)
satellite,
carrying
a
Ka-band
radar
interferometer,
is
designed
to
detect
global
hydrological,
ecological,
climatic
changes
through
high-precision
measurements
of
elevation
level
promote
the
sustainable
use
conservation
resources.
accuracy
elevations
inland
from
SWOT
was
verified
globally
in
this
article
by
comparing
data
with
Hydroweb
G-REALM
data,
so
as
better
utilize
advanced
remote
sensing
observation
capabilities
hydrology.
Through
spatiotemporal
matching
validation,
experiment
validates
time
series
within
different
regions,
confirming
that
observations
have
an
more
than
99%
for
lakes
rivers
eight
geographic
subregions.
Compared
G-REALM,
SWOT's
lake
products
mean
absolute
error
less
0.5
0.3
m,
well
root
square
(RMSE)
1.5
2
respectively.
reduce
measurement
0.1
m
compared
priori
improves
10%.
As
river
measurements,
average
0.15
RMSE
providing
highly
accurate
most
regions
world.
Overall,
product
can
provide
heights
terrestrial
bodies,
which
great
significance
small
body
quantity
monitoring,
circulation
research.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(2), P. 571 - 571
Published: Jan. 13, 2025
Water
resources,
energy,
and
food
are
important
resources
in
China,
which
play
an
role
the
process
of
urban
development
basic
for
sustainable
development.
This
study
applied
water
footprint
theory
to
water–energy–food
relations.
The
regional
integration
Jing-Jin-Ji
region
faced
new
challenges
during
urbanization,
unified
measures
were
quantify
demands
energy
competition
from
2003
2017.
index
was
used
evaluate
intensity
energy.
results
indicated
that
2017,
grain
production
decreased
30.984
billion
m3
21.36
m3,
blue
13.032
9.854
m3.
increased
578
million
1.175
relation
between
cities
obtained
according
index,
corresponding
identified
different
levels.
provides
valuable
insights
policymakers
designing
strategies
facing
similar
resource,
rapid
urbanization.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(4), P. 1570 - 1570
Published: Feb. 14, 2025
In
the
context
of
global
climate
change,
understanding
cryosphere
degradation
and
its
impact
on
water
resources
in
alpine
regions
is
crucial
for
sustainable
development.
This
study
investigates
relationship
between
permafrost
runoff
variations
Source
Region
Yangtze
River
(SRYR),
a
critical
tower
supply
Asia.
We
propose
novel
method
assessing
sensitivity,
which
establishes
correlation
changes
hydrological
responses,
contributing
to
resource
management.
Our
research
quantifies
key
uncertainties
change
attribution,
providing
essential
data
decision
making.
Results
show
that
watershed
characteristics
account
up
20%
variation,
with
(−0.02
sensitivity)
demonstrating
greater
influence
than
NDVI
variations.
The
findings
offer
insights
development
adaptation
strategies,
particularly
maintaining
ecosystem
services
ensuring
long-term
security
under
changing
conditions.
offers
scientific
basis
climate-resilient
management
policies
high-altitude
regions.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(5), P. 901 - 901
Published: March 4, 2025
Understanding
the
impact
of
human
activities
on
regional
water
resources
is
essential
for
sustainable
basin
management.
This
study
examines
long-term
terrestrial
storage
anomalies
(TWSA)
in
Three
Gorges
Reservoir
Area
(TGRA)
over
two
decades,
from
2003
to
2023.
The
analysis
utilizes
data
Gravity
Recovery
and
Climate
Experiment
(GRACE)
its
successor
mission
(GRACE-FO),
complemented
by
Global
Land
Data
Assimilation
System
(GLDAS)
models
ECMWF
Reanalysis
v5
(ERA5)
datasets.
research
methodically
explores
comparative
contributions
natural
factors
region’s
hydrological
dynamics.
By
integrating
GRACE
Drought
Severity
Index
(GRACE-DSI),
this
uncovers
dynamics
droughts
during
extreme
climate
events.
It
also
reveals
pivotal
role
Dam
(TGD)
mitigating
these
events
managing
resources.
Our
findings
indicate
a
notable
upward
trend
TWSA
within
TGRA,
with
an
annual
increase
0.93
cm/year.
largely
due
effective
regulatory
operations
TGD.
dam
effectively
balances
seasonal
distribution
between
summer
winter
substantially
reduces
adverse
effects
Further,
GRACE-DSI
underscores
swift
recovery
following
2022
drought,
highlighting
TGD’s
critical
responding
climatic
conditions.
Through
correlation
analysis,
it
was
found
that
compared
(correlation
0.62),
0.91)
exhibit
higher
relative
contribution
variability.
human-induced
were
derived
difference
GLDAS
datasets,
capturing
combined
all
activities,
including
TGD,
agricultural
irrigation,
urbanization.
However,
TGD
serves
as
key
facility
significantly
influences
resource
dynamics,
particularly
provides
scientific
basis
management
TGRA
similar
large
reservoir
regions,
emphasizing
necessity
interactions
strategies.
