Remote Sensing,
Journal Year:
2022,
Volume and Issue:
14(10), P. 2475 - 2475
Published: May 21, 2022
Inland
surface
water
is
often
the
most
accessible
freshwater
source.
As
opposed
to
groundwater,
replenished
in
a
comparatively
quick
cycle,
which
makes
this
vital
resource—if
not
overexploited—sustainable.
From
global
perspective,
plentiful.
Still,
depending
on
region,
availability
severely
limited.
Additionally,
climate
change
and
human
interventions
act
as
large-scale
drivers
cause
dramatic
changes
established
dynamics.
Actions
have
be
taken
secure
sustainable
usage.
This
requires
informed
decision
making
based
reliable
environmental
data.
Monitoring
inland
dynamics
therefore
more
important
than
ever.
Remote
sensing
able
delineate
number
of
ways
by
using
optical
well
active
passive
microwave
sensors.
In
review,
we
look
at
proceedings
within
discipline
reviewing
233
scientific
works.
We
provide
an
extensive
overview
used
sensors,
spatial
temporal
resolution
studies,
their
thematic
foci,
distribution.
observe
that
wide
array
available
sensors
datasets,
along
with
increasing
computing
capacities,
shaped
field
over
last
years.
Multiple
analysis-ready
products
are
for
investigating
area
dynamics,
but
so
far
none
offer
high
resolution.
Land,
Journal Year:
2020,
Volume and Issue:
9(1), P. 28 - 28
Published: Jan. 19, 2020
Land
degradation
is
a
global
issue
receiving
much
attention
currently.
In
order
to
objectively
reveal
the
research
situation
of
land
degradation,
bibliometrix
and
biblioshiny
software
packages
have
been
used
conduct
data
mining
quantitative
analysis
on
papers
in
fields
during
1990–2019
(data
update
time
was
8
April
2019)
Web
Science
core
collection
database.
The
results
show
that:
(1)
past
20
years,
number
has
increased.
According
articles,
it
divided
into
four
stages:
low-production
exploration
period,
developmental
sprout
expansion
promotion
high-yield
active
period.
(2)
Land-degradation
covers
93
countries
or
regions.
top
five
terms
volume
are
China,
United
States,
Kingdom,
Germany,
Australia.
Kingdom
most
important
for
international
cooperation
field
degradation.
However,
between
not
very
close
overall.
(3)
desertification,
remote
sensing,
soil
erosion,
high-frequency
keywords
recent
years.
(4)
hotspots
mainly
focus
directions
such
as
restoration
reconstruction
sustainable
management
resources.
(5)
themes
various
periods
diversified,
evolutionary
relationship
complex.
There
15
paths
with
regard
dynamic
monitoring
environmental
governance
responses
land-use
change.
Finally,
paper
concludes
that
future
include
process,
mechanism,
effect
application
new
technologies,
methods
theory
enhancement,
models
ecological
restoration,
degraded
land,
multidisciplinary
integrated
system
research,
constructing
policy
guarantee
strengthening
resource
engineering.
Remote Sensing,
Journal Year:
2019,
Volume and Issue:
11(5), P. 554 - 554
Published: March 6, 2019
Limited
research
has
been
published
on
land
changes
and
their
driving
mechanisms
in
Central
Asia,
but
this
area
is
an
important
ecologically
sensitive
area.
Supported
by
Google
Earth
Engine
(GEE),
study
used
Landsat
satellite
imagery
selected
the
random
forest
algorithm
to
perform
classification
obtain
annual
cover
datasets
of
Asia
from
2001
2017.
Based
temporal
datasets,
distributions
dynamic
trends
were
summarized,
key
factors
analyzed.
The
results
show
that
(1)
obtained
are
reliable
highly
accurate,
with
overall
accuracy
0.90
±
0.01.
(2)
Grassland
bareland
two
most
prominent
types,
proportions
45.0%
32.9%
2017,
respectively.
Over
past
17
years,
displayed
reduction,
decreasing
2.6%
overall.
Natural
vegetation
(grassland,
forest,
shrubland),
cultivated
land,
water
bodies
wetlands
have
increasing
at
different
rates.
(3)
amount
precipitation
degree
drought
affect
natural
vegetation.
mainly
affected
anthropogenic
drivers.
effects
urban
populations
expanding
industrial
development
expansion
regions.
advantages
uncertainties
arising
mapping
change
detection
method
complexity
also
discussed.
Scientific Reports,
Journal Year:
2019,
Volume and Issue:
9(1)
Published: Feb. 18, 2019
It
is
increasingly
acknowledged
that
land-use
and
land-cover
change
has
become
a
key
subject
urgently
needs
to
be
addressed
in
the
study
of
global
environmental
change.
In
present
study,
supported
by
long-time-series
data
from
1990,
2000,
2017,
we
used
transition
matrix,
Markov
chain
model
Moran's
I
derive
detailed
information
spatial
patterns
temporal
variation
change;
additionally,
highlight
deforestation/afforestation
conversion
process
during
period
1990-2017.
The
results
show
total
4708
km2
(i.e.,
2.0%
area)
changed
Guangxi
1990
while
418
woodland
been
lost
this
region.
(deforestation)
gained
(afforestation)
were
collocated
with
intensive
forest
practices
past
27
years.
conversions
cropland
grassland
dominant
processes
deforestation
afforestation,
respectively.
Steep
slope
was
one
major
afforestation
after
2000.
This
result
mainly
explained
implementation
"Grain
for
Green
Program"
policy
large-scale
development
eucalyptus
plantations.
Further
efforts
should
made
control
area.
These
findings
can
also
as
reference
formulation
sustainable
management
policies.
Land Use Policy,
Journal Year:
2019,
Volume and Issue:
83, P. 543 - 559
Published: March 2, 2019
Land
degradation
occurs
in
all
kinds
of
landscapes
over
the
world,
but
drivers
land
vary
from
region
to
region.
Identifying
these
at
appropriate
spatial
scale
is
an
essential
prerequisite
for
developing
and
implementing
area-specific
policies.
In
this
study,
we
investigate
nine
different
driving
factors
three
categories:
human
disturbance,
water
condition,
urbanisation.
Using
partial
order
theory
Hasse
diagram
technique,
analyse
temporal
dynamics
identify
major
county
level
Xilingol
League,
China.
Our
findings
indicate
that:
(i)
eight
out
region’s
12
counties,
disturbance
was
dominant
driver
responsible
up
2000,
followed
by
conditions,
while
urbanisation
only
four
counties;
(ii)
effects
resulting
availability
decreased
after
became
seven
counties.
The
influence
has
decreased,
which
suggests
that
ecological
protection
policies
were
designed
control
population
livestock
numbers
have
worked
as
intended
However,
continued
new
policy
measures
are
required
ease
effect
Geocarto International,
Journal Year:
2021,
Volume and Issue:
37(18), P. 5415 - 5432
Published: May 14, 2021
All
the
supervised
classification
methods
need
sufficient
and
efficient
samples,
which
are
commonly
labeled
by
visual
inspection.
In
this
study,
to
resolve
issues
of
insufficient
training
samples
time-consuming,
a
novel
method
for
detailed
automated
LULC
LC_Type1
MCD12Q1
IGBP
schemes
in
GEE
cloud
platform
was
proposed
based
on
RF
CART
classifiers.
The
results
present
that
validation
overall
accuracy
classifier
is
higher
than
CART,
87.24%
Australia,
85.18%
USA,
respectively.
more
concentrated
suitable
method.
Moreover,
can
accomplish
accurate,
detailed,
making
satellite
imagery
computing
an
efficient,
flexible,
fast
process.
workflow
provides
reliable
automated,
remotely
classification.
Remote Sensing,
Journal Year:
2021,
Volume and Issue:
13(2), P. 187 - 187
Published: Jan. 7, 2021
As
an
important
part
of
a
terrestrial
ecosystem,
vegetation
plays
role
in
the
global
carbon-water
cycle
and
energy
flow.
Based
on
Global
Inventory
Monitoring
Modeling
System
(GIMMS)
third
generation
Normalized
Difference
Vegetation
Index
(NDVI3g),
meteorological
station
data,
climate
reanalysis
land
cover
this
study
analyzed
dynamics
spatiotemporal
variations
NDVI
northern
China
from
1982
to
2015.
The
results
showed
that
growth
season
(NDVIgs)
increased
significantly
at
0.006/10a
(p
<
0.01)
1982–2015
regional
scale.
period
2015
was
divided
into
three
periods:
NDVIgs
by
0.026/10a
1982–1990,
decreased
−0.002/10a
>
0.1)
1990–2006,
then
0.021/10a
during
2006–2015.
On
pixel
scale,
increases
1982–2015,
2006–2015
accounted
for
74.64%,
85.34%,
48.14%,
68.78%
total
area,
respectively.
In
general,
dominant
drivers
had
gradually
switched
solar
radiation,
temperature,
precipitation
(1982–1990)
temperature
(1990–2015).
For
woodland,
high
coverage
grassland,
medium
low
changed
radiation
precipitation,
precipitation.
areas
controlled
significantly,
mainly
distributed
arid,
sub-arid,
sub-humid
areas.
plateau
zone
or
high-altitude
area
while
cold
temperate
zone,
radiation.
These
are
helpful
understand
growth,
have
guiding
significance
protection
restoration
context
change.
