International Journal of Applied Earth Observation and Geoinformation,
Год журнала:
2023,
Номер
126, С. 103606 - 103606
Опубликована: Дек. 16, 2023
Primary
forests
in
Indonesia
are
high
decline.
The
increase
population
exacerbates
forest
reductions,
as
changed
to
settlements.
This
impacts
the
loss
of
biodiversity
and
animals
Indonesia.
An
important
way
prevent
is
conserve
crucial
areas.
Spatial
modeling
can
be
done
detect
conservation
areas
that
for
future.
study
analyzes
index
ecosystem
services
habitat
suitability
extinct
determine
priority
Here
we
predict
indicated
lost
We
use
integrated
spatial
data
using
GIS
(Geography
Information
System)
From
results,
there
will
a
change
land
cover
settlement
by
2030.
causes
service
(ESI)
value
decrease
from
an
initially
each
year.
In
terms
suitability,
majority
integration
has
been
performed
also
shows
very
ESI
conformity
Java
region.
research
hopefully
used
policy
makers
new
on
island
Java.
Remote Sensing Letters,
Год журнала:
2024,
Номер
15(3), С. 233 - 244
Опубликована: Фев. 19, 2024
Driven
by
global
sustainability
goals,
understanding
land
surface
temperature
(LST)
in
urban
thermal
environments
(UTE)
is
crucial.
This
study
analyses
remotely
sensed
LST
data
from
Aqua
and
Terra
satellites
a
rapidly
growing
non-tier
Indian
city.
It
uniquely
integrates
remote
sensing
soft
computational
analysis
to
predict
daytime
using
artificial
neural
networks
(ANN).
The
categorized
based
on
transfer
functions
hyper-parameters
enhance
the
comprehension
of
prediction
simulation
scenarios
employing
Back
Propagation
Neural
Network
(BPNN)
model.
Results
indicate
that
tansig
function
yields
best
performance
overall
prediction,
while
purelin
performs
least
effectively.
provides
evidence
computing
techniques
effectively
estimate
data,
offering
valuable
solution
for
scarcity
issues.
However,
findings
are
specific
area
may
vary
elsewhere.
Exploring
alternative
methods
incorporating
other
areas
could
potentially
improve
accuracy
performance.
Future
research
focus
investigating
mechanisms
behind
different
their
interactions
with
various
factors.
Additionally,
integrating
variables
like
vegetation
index,
soil
moisture,
others
contribute
more
holistic
dynamics
predictive
capabilities.
