BIO Web of Conferences,
Journal Year:
2024,
Volume and Issue:
145, P. 01003 - 01003
Published: Jan. 1, 2024
The
study
was
conducted
on
the
territory
of
"Nasibash"
site
Eurasian
carbon
polygon,
where
9
vegetation
communities
were
identified.
approach
to
estimation
and
construction
soil
temperature
distribution
maps
using
Landsat
8-9
space
images
is
presented.
Evaluation
response
temperatures
carried
out
indices:
NDVI,
GNDVI,
EVI,
CVI.
use
statistics
obtained
rasters
made
it
possible
reveal
dependence
values
indices
temperature.
GNDVI
demonstrated
greatest
relationship:
r
=
0.82,
R
2
0.65.
Further,
effect
individual
plant
evaluated.
Plots
with
4
(r=0.74,
0.55)
3
stages
(r=0.47,
0.23)
pine
(
Pinus
sylvesrtis
L.)
overgrowth
hayfield
(r=,
0.54,
0.29)
showed
highest
correlations.
Land,
Journal Year:
2024,
Volume and Issue:
13(8), P. 1262 - 1262
Published: Aug. 11, 2024
Urbanization
is
an
important
process
in
China’s
urban
development,
significantly
contributing
to
resource
allocation
and
the
cooperative
development
of
neighboring
cities.
In
recent
years,
remote-sensing
technology
has
emerged
as
a
powerful
tool
urbanization
research.
However,
disparity
between
rural
areas
poses
challenges
evaluating
degree
within
region.
This
paper
addresses
this
issue
by
using
LCZ
(Local
Climate
Zone)
data
provide
unified
framework
for
analyzing
human
settlement
environmental
geographic
dataset.
study
focuses
on
spatial
transformation
Guangzhou–Foshan
from
2000
2020.
The
offer
suitable
examining
urban–rural
gradients,
facilitating
analysis
characteristics
under
varying
conditions.
enables
comprehensive
spatiotemporal
integration.
results
show
that
metropolitan
area
reveals
region
maintained
“core–edge”
structure
over
past
20
years.
rate
decelerated
following
policy
changes
2010,
with
adjacent
experiencing
slower
compared
overall
area.
are
effective
comparative
internal
areas,
offering
novel
approach
studying
integration
amid
development.
Vestnik of North-Eastern Federal University Series Earth Sciences,
Journal Year:
2024,
Volume and Issue:
3, P. 38 - 50
Published: Sept. 25, 2024
Climate
change
affects
the
characteristics
of
vegetation
productivity.
For
north
Russia
and
west
Siberia,
an
increase
in
productivity
NDVI
index
was
noted
due
to
temperature.
Kazakhstan
southeast
Russia,
opposite
effect
is
observed:
temperature
leads
a
decrease
value.
The
Bashkir
State
Nature
Reserve
(BSNR)
located
transition
zone
background
area
devoid
anthropogenic
impact.
To
obtain
complete
picture
entire
for
territory
reserve,
methods
analyzing
Earth
remote
sensing
data
were
used.
Using
from
MODIS
sensor,
adjusted
according
Ufa
weather
station,
maps
distribution
night
daytime
temperatures
built.
average
values
also
determined.
A
significant
influence
on
revealed:
r
=
0.87,
R
2
0.75.
assess
territorial
relationships
SAGA
GIS
program
using
Regression:
Multiply
Regression
Analysis
(Grid
Predictor
Grids)
tool,
map
spatial
coefficient
determination
(R
)
BPPZ
An
analysis
showed
that
stands
Urmantau
ridge
demonstrate
greatest
correlations
0.82),
while
settled
sections
Southern
Kraka
show
weaker
links
with
0.62).
Thus,
there
greater
resistance
steppe
communities
BSNR
increases
than
pine-birch
stands.
demonstrates
transitional
state
between
conditions
more
northern
territories
which
forests
reserve
oppressed
by
rising
steppes.
BIO Web of Conferences,
Journal Year:
2024,
Volume and Issue:
145, P. 01003 - 01003
Published: Jan. 1, 2024
The
study
was
conducted
on
the
territory
of
"Nasibash"
site
Eurasian
carbon
polygon,
where
9
vegetation
communities
were
identified.
approach
to
estimation
and
construction
soil
temperature
distribution
maps
using
Landsat
8-9
space
images
is
presented.
Evaluation
response
temperatures
carried
out
indices:
NDVI,
GNDVI,
EVI,
CVI.
use
statistics
obtained
rasters
made
it
possible
reveal
dependence
values
indices
temperature.
GNDVI
demonstrated
greatest
relationship:
r
=
0.82,
R
2
0.65.
Further,
effect
individual
plant
evaluated.
Plots
with
4
(r=0.74,
0.55)
3
stages
(r=0.47,
0.23)
pine
(
Pinus
sylvesrtis
L.)
overgrowth
hayfield
(r=,
0.54,
0.29)
showed
highest
correlations.
