Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa,
Год журнала:
2023,
Номер
20(5), С. 176 - 193
Опубликована: Янв. 1, 2023
Оперативный
дистанционный
мониторинг
и
моделирование
потенциальных
изменений
наземного
покрова
-важные
мероприятия
при
принятии
решений
по
устойчивому
управлению
территориями.В
работе
проведён
прогнозный
анализ
пространственно-временной
динамики
семи
классов
(растительного)
Среднего
Поволжья
до
2041
г.
данным
спутниковых
изображений
Landsat
за
2001
2021
гг.и
тематическим
картам
местности.Моделирование
проводилось
методом
клеточных
автоматов
искусственной
нейронной
сети
CA-ANN
(англ.Cellular
Automata
-Artificial
Neural
Network)
в
плагине
MOLUSСE
(англ.Modules
for
Land-Use
Change
Simulation
-модули
для
моделирования
землепользовании)
программы
QGIS
(англ.Quantum
GIS)
условии
существующих
прошедшие
20
лет
тенденций
земле-и
лесопользовании,
а
также
природных
нарушений
исследуемом
регионе.Проведён
интенсивности
вероятности
пространственно-временных
переходов
между
исследуемыми
классами
моделируемый
период
времени.В
результате
создан
набор
картографических
материалов
программном
обеспечении
ArcGIS
Pro
матриц
перехода
наземном
покрове
Поволжья.Проведённый
позволил
определить
будущие
тренды
г.Результаты
показывают,
что
большинство
исследуемых
2021-2041
гг.будут
подвержены
изменениям
площади.В
первую
очередь
это
затронет
субъекты
Поволжья,
имеющие
высокую
лесистость
на
своей
территории,
такие
как
Кировская
Нижегородская
области,
Республика
Марий
Эл.Прогнозный
свидетельствует
о
том,
площадь
лесного
исследуемой
территории
может
увеличиться
сравнению
с
23,8
%.Максимум
демонстрирует
класс
«молодняки»,
динамика
ежегодного
прироста
которого
площади
составить
1,6
%
год.Часть
хвойных
насаждений
площадью
0,31
млн
га
перейти
смешанные,
0,357
-в
лиственные
насаждения.Полученные
результаты
могут
быть
использованы
дальнейшего
прогнозного
мониторинга
спутниковым
изображениям
учётом
дополнительных
факторов
меняющемуся
климату
социально-экономической
деятельности
региональном
локальном
уровнях.
Ecological Indicators,
Год журнала:
2024,
Номер
166, С. 112382 - 112382
Опубликована: Июль 19, 2024
Evaluating
the
quality
and
establishing
an
ecological
network
are
beneficial
for
maintaining
ecosystem
health
stability
optimizing
national
spatial
pattern.
This
study
used
morphological
pattern
analysis
(MSPA)
remote
sensing
index
(RSEI)
to
identify
sources
(ESs)
in
Shanxi
section
of
Yellow
River
Basin
(SYRB).
Comprehensive
resistance
surface
is
constructed
corrected
based
on
weight.
The
corridor
was
identified
by
Linkage
Mapper
tool,
node
barrier
points
were
determined
basis
minimum
cost
path
theory
establish
security
(ESP)
SYRB.
108
ESs
identified,
with
a
total
area
34,157.42
km2.
unevenness
distribution
obvious
concentrated
areas
higher
elevations
environmental
quality.
We
243
corridors
(ECs),
totaling
3,259.44
km.
main
land
use
types
ECs
cultivated
land,
forest,
grassland.
Low-resistance
mainly
distributed
central
pearl-shaped
basin,
connecting
two
major
source
east
west.
high-resistance
southern
part
which
had
highly
fragmented
at
periphery.
41
pinch
points,
Mianshan
Mountain,
plays
key
role
energy
exchange
between
ESs.
26
overlapped
ECs,
obstructed
landscape
connectivity.
A
comprehensive
"two
zones,
one
belt,
three
corridors"
ESP
established,
providing
solid
theoretical
support
practical
guidance
future
sustainable
development
enhanced
design
Remote Sensing,
Год журнала:
2022,
Номер
14(24), С. 6273 - 6273
Опубликована: Дек. 11, 2022
Rapid
urbanization
in
the
lower
Yellow
River
basin
has
greatly
contributed
to
socio-economic
development
of
Northern
China,
but
it
also
exacerbated
land
use/land
cover
change,
with
significant
impacts
on
ecology.
Ecological
quality
is
a
comprehensive
spatial
and
temporal
measure
an
ecosystem’s
elements,
structure
function,
reflecting
ecological
state
under
external
pressures.
However,
how
change
affects
during
rarely
been
explored.
In
this
study,
Jinan,
megacity
basin,
was
taken
as
typical
region,
response
2000,
2010
2020
retrieved
using
remote
sensing
index.
For
mixed
types,
type-decomposition
heterogeneity
quantification
method
based
abundance
index
proposed,
impact
mechanisms
were
revealed
by
coupling
GeoDetector.
The
results
show
that:
(1)
Farmland
built-up
areas,
dominant
primary
factors
controlling
pattern
quality.
(2)
Urban
expansion
farmland
protection
policies
resulted
transfer
woodland
areas
well
grassland
farmland,
which
intensified
degradation
(3)
prompted
main
cause
for
improvement
(4)
Although
urban
implemented
parallel,
uneven
changes
1.4
times
expanded
area
poorer
increasingly
serious
agglomeration
effects.
This
study
can
provide
scientific
references
conservation
high-quality,
sustainable
cities
basin.
Land,
Год журнала:
2024,
Номер
13(5), С. 675 - 675
Опубликована: Май 13, 2024
Nanling
Mountain
region
is
a
typical
southern
hilly
region,
which
plays
an
important
ecological
and
environmental
protection
role
in
China’s
overall
land
pattern.
Based
on
the
remote
sensing
image
data
of
Longnan
City
2013,
2018
2023,
this
paper
interpreted
use
type
analyzed
transfer
situation
by
using
flow,
matrix.
At
same
time,
based
index
(RSEI)
model,
quality
from
2013
to
2023
was
retrieved.
The
temporal
spatial
response
model
discussed
autocorrelation
geographical
detector.
results
show
that
decrease
forest
(16.23
km2)
increase
construction
(13.25
were
main
transfers
City.
environment
indexes
0.789,
0.917
0.872,
respectively,
showing
trend
“first
rising
then
decreasing”.
north
significantly
lower
than
south,
poor
area
appeared
around
northern
urban
area,
“inward
contraction”.
Forest
land,
garden
grassland,
cultivated
water
have
positive
impact
quality,
while
traffic
other
negative
quality.
different
modes
related
change
interaction
between
cover
(LUCC)
factors
had
great
evolution
Sustainability,
Год журнала:
2023,
Номер
15(9), С. 7477 - 7477
Опубликована: Май 2, 2023
With
the
development
of
urbanization,
a
large
number
village
settlements
have
disappeared.
As
important
carriers
ethnic
and
cultural
heritage,
are
for
continuation
folk
culture
farming
spirit.
Building
regional
ecological
security
pattern
helps
to
protect
integrity
promote
sustainable
Chinese
nation.
In
this
work,
importance
ecosystem
services
was
first
obtained
by
using
Integrated
Valuation
Ecosystem
Services
Tradeoffs
model
(In-VEST)
revised
universal
soil
loss
equation
(RUSLE)
evaluate
in
southeastern
region
Chongqing
(SRC).
Then,
evaluation
results
were
combined
with
sensory
derive
conservation
areas
identify
source
points
their
high-value
areas.
Finally,
corridors
minimum
cumulative
resistance
(MCR).
The
constructed,
i.e.,
triangular
protection
area
strategy
“one
screen,
one
belt,
three
cores”.
show
following:
total
sites
larger
than
20
km2
SRC
is
436.02
km2,
accounting
2.28%
SRC.
largest
patch
69.93
16.04%
sites.
Thirteen
identified
as
follows:
four
Youyang
County,
Shizhu
Wulong
Pengshui
County.
There
78
length
4832.82
km,
including
32
about
1544.53
km
46
potential
3288.29
km.
Based
on
constructed
eight
factors,
spatial
variation
surface
analyzed,
showing
trend
being
high
west
central
part
low
surrounding
area.
County
Nature
Reserve
sensitivity
that
overlap
extreme,
which
should
be
given
sufficient
attention.
core
protected
consist
mountains
Qiyao
Mountain
Range,
Wuling
Reserve.
based
mode
“source–ecological
corridor–ecological
node”
can
function
areas,
providing
scientific
guidance
China.
Environmental and Sustainability Indicators,
Год журнала:
2024,
Номер
22, С. 100366 - 100366
Опубликована: Фев. 28, 2024
In
recent
years,
landscape
pattern
optimization
has
been
regarded
as
a
cutting-edge
science
in
various
fields,
and
basin
hydrology
is
no
exception.
Its
effect
on
water
purification
also
focused
on.
Based
the
analysis
of
land
use
types
patterns
Danjiangkou
Reservoir
Basin,
combined
with
determination
quality
indicators
relationship
between
spatial
Landscape
Morphology
was
studied;
It
found
that
among
basic
characteristic
many
basins,
main
influencing
factors
high
Variable
importance
for
projection
(VIP>1)
are
IJI
(Interspersion
Juxtaposition
Index),
COHE
(Patch
Cohesion
AI
(Aggregation
PD
Density),
ED
(Edge
Density);
Using
PLSR
(Partial
Least
Squares
Regression)
analysis,
were
discussed.
there
significant
negative
regression
(Rc
<
0)
CODMn
(permanganate
index),
TP
(Total
Phosphorus),
TN
Nitrogen)
NH4+-N
(ammonia
nitrogen)
basin,
topographic
humidity
index,
relief,
slope,
forest
area;
The
patch
connectivity
index
used
to
determine
ecological
source
areas
reservoir
have
improved
need
be
protected;
priority
corridor
construction
protection
determined;
With
help
minimum
cumulative
resistance
model,
sources
constructed;
grips
identified.
order
provide
technical
support
configuration
purpose
area.
Processes,
Год журнала:
2023,
Номер
11(6), С. 1721 - 1721
Опубликована: Июнь 4, 2023
The
remote
sensing
ecological
index
(RSEI)
has
been
widely
used
in
the
rapid
monitoring
and
evaluation
of
regional
environment;
however,
research
on
main
factors
that
cause
changes
RSEI
impact
human
activities
mining
area
is
not
often
explored.
To
this
end,
paper
selected
Landsat
(TM/OLI)
series
images
from
1986
to
2022;
extracted
four
important
indicators
normalized
difference
vegetation
(NDVI),
wetness
component
tasseled
cap
transformation
(WET),
built-up
soil
(NDBSI),
land
surface
temperature
(LST);
calculated
based
principal
analysis
method;
monitored
evaluated
environment
Shendong
Mining
Area
for
a
period
36
years;
analyzed
driving
forces
these
changes.
results
show
following:
(1)
status
study
shown
an
overall
upward
trend
during
1986–2022
period.
(2)
From
2022,
with
grade
0.4–0.6
increased
by
1142.74
km2,
0.6–0.8
124.09
0.8–1.0
0.73
km2.
(3)
In
past
years,
proportion
positive
was
97.52%,
regions
negative
6.20%.
(4)
Rainfall
factor
causes
environment.
By
analyzing
change
relationship
between
RSEI,
reference
can
be
provided
formulation
environmental
protection
policies
planning
areas.
Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Июнь 13, 2024
Introduction:
As
the
global
urbanization
process
accelerates,
contradiction
between
economic
development
demands
and
ecological
protection
becomes
increasingly
prominent.
Methods:
In
this
study,
we
simulated
evolution
of
security
pattern
(ESP)
Pingtan
Island
from
2000
to
2020
by
extracting
sources
using
Remote
Sensing
Ecological
Index
(RSEI),
identifying
corridors
key
nodes
combining
with
Linkage
Mapping
(LM)
Circuit
Theory.
addition,
Geodetector
was
utilized
identify
these
major
determinants
affecting
RSEI.
Results:
The
results
showed
1)
From
2020,
environmental
quality
(EEQ)
continued
improve,
mean
value
RSEI
gradually
increased
0.47
0.51.
2)
Univariate
analysis
that
elevation
slope
were
most
significant
factors
spatial
variability
RSEI,
interaction
proportion
built-up
area
having
a
effect
on
EEQ.
3)
number
extent
expanded
year
variability.
At
same
time,
range
also
underwent
phase
adjustment.
4)
Further
exploration
ESP
in
identified
32
pinch
points
(EPPs)
52
barrier
(EBPs),
which
mainly
located
within
or
near
corridors,
indicating
areas
for
future
restoration
efforts.
Discussion:
These
insights
help
enhance
urban
planning
ecosystem
provide
blueprint
comparable
island
environments.
Human and Ecological Risk Assessment An International Journal,
Год журнала:
2024,
Номер
30(9-10), С. 833 - 857
Опубликована: Ноя. 5, 2024
Understanding
the
ecological
security
situation
of
Fuzhou
City
holds
significant
theoretical
and
practical
value
for
government
departments
in
implementing
development
strategies
achieving
Sustainable
Development
Goal
11
(Sustainable
Cities
Communities).
Using
Data,
Information,
Knowledge,
Wisdom
(DIKW)
framework,
this
study
combined
various
remote
sensing
GIS
methods
to
comprehensively
analyze
Fuzhou's
past,
present,
future
levels.
The
results
showed
a
strong
isotropic
cluster
city's
security.
Among
influencing
factors,
degree
regional
was
found
have
greatest
impact,
while
water
body
coverage
had
least.
factors
are
mutually
reinforcing.
Under
natural
scenario,
area
secure
level
2020
decreased
by
1243.70
km2,
under
protection
it
declined
1263.34
km2.
In
future,
is
expected
face
increasing
fragmentation.
Based
on
these
findings,
proposes
balance
economic
City.
These
recommendations
aim
provide
with
relevant
data
support
land
resource
management
contribute
high-level