International Journal of Digital Earth,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: Aug. 13, 2024
Recent
studies
on
the
accessibility
of
sports
facilities
have
rarely
considered
specific
attributes
facilities,
limiting
their
ability
to
define
service
potential,
and
often
neglected
critical
aspect
equitable
access.
This
study
proposed
a
novel
approach
based
remote
sensing
images
optimize
spatial
outdoor
facilities.
Using
Shanghai,
China,
as
area,
identified
four
types
using
deep
learning
object
detection
method,
which
allowed
capacities
(areas)
be
measured
more
precisely.
A
greedy
heuristic
algorithm
was
then
developed
"trade-off"
strategy
that
seeks
facility
access
by
reconciling
objectives
enhancing
ensuring
equality
weighing
benefits
utilizing
existing
resources
(school
facilities)
against
necessity
developing
new
ones.
The
method
achieved
precision
recall
rates
88%
96%,
respectively,
optimization
efforts
resulted
in
73%
increase
while
also
significantly
reducing
Gini
coefficient
from
0.58
0.34.
outperformed
random
selection
all-school-opening
strategies.
results
indicated
methodology
can
effectively
create
refined
datasets
for
enhance
accessibility.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Oct. 24, 2024
Improvements
in
high-resolution
satellite
remote
sensing
and
computational
advancements
have
sped
up
the
development
of
global
datasets
that
delineate
urban
land,
crucial
for
understanding
climate
risks
our
increasingly
urbanizing
world.
Here,
we
analyze
land
cover
patterns
across
spatiotemporal
scales
from
several
such
current-generation
products.
While
all
show
a
rapidly
world,
with
nearly
tripling
between
1985
2015,
there
are
substantial
discrepancies
area
estimates
among
products
influenced
by
scale,
differing
definitions,
methodologies.
We
discuss
implications
these
use
cases,
including
monitoring
hazards
modeling
urbanization-induced
impacts
on
weather
regional
to
scales.
Our
results
demonstrate
importance
choosing
fit-for-purpose
examining
specific
aspects
historical,
present,
future
urbanization
sustainable
development,
resource
allocation,
quantification
impacts.
Environmental Research,
Journal Year:
2025,
Volume and Issue:
273, P. 121235 - 121235
Published: Feb. 25, 2025
Urbanisation
poses
a
profound
threat
to
biodiversity,
leading
the
loss
of
natural
ecosystems
and
changes
in
animal
communities.
Many
species
birds
prey
are
increasingly
associated
with
urban
habitats
even
when
they
have
low
reproductive
success.
However,
it
is
unclear
if
this
poor
performance
due
worse
environmental
conditions
cities
or
poorer
quality
nesting
sites.
Addressing
effects
habitat
on
reproduction
under
similar
(nest-boxes
same
size
material)
therefore
important
we
were
test
direct
effect
cavity-nesting
raptors.
To
address
question,
compared
life-history
traits,
metrics
success,
morphological
traits
chicks
common
kestrels
(Falco
tinnunculus)
breeding
artificial
nest
boxes
city
Rome,
nearby
rural
environments
over
period
five
years.
We
found
that
laid
significantly
earlier
(10
days
average)
than
habitat.
also
novel
evidence
had
shorter
wings
raised
(1.2
cm
average).
By
contrast,
did
not
detect
any
differences
clutch
size,
brood
at
fledging,
egg
volume,
hatching
fledging
body
mass,
tarsus
length,
condition
among
habitats.
Our
findings
suggest
that,
despite
phenology,
performances
across
different
types.
This
result
contrast
previous
studies
carried
out
other
European
cities,
indicating
some
might
be
optimal
for
sustaining
viable
bird
populations.
Journal of Geophysical Research Atmospheres,
Journal Year:
2025,
Volume and Issue:
130(4)
Published: Feb. 24, 2025
Abstract
Urbanization
changes
Earth's
climate
by
contributing
to
the
buildup
of
atmospheric
greenhouse
gases
and
altering
surface
biophysical
properties.
In
models,
aspect
is
prescribed
with
urbanization
emission
trajectories
embedded
in
socioeconomic
pathways
(SSPs).
However,
omitted
because
no
models
currently
simulate
spatially
explicit
urban
land
transition.
Urban
typically
warmer
than
adjacent
natural
due
a
large
urban‐versus‐natural
contrast
The
lack
representation
raises
possibility
that
model
projection
future
warming
may
be
biased
low,
especially
areas
intense
expansion.
Here,
we
conduct
global
sensitivity
study
using
dynamic
scheme
Community
Earth
System
Model
quantify
effect
expansion
under
SSP5‐RCP8.5
scenario.
Constant
radiative,
thermal,
morphological
properties
are
used.
We
find
depends
on
aridity.
zones
where
evaporation
water‐limited,
causes
significant
increase
air
temperature
(0.28
±
0.19
K;
mean
one
standard
deviation
nine
ensemble
pairs;
p
<
0.01)
exceeds
5%
2070.
majority
this
signal
attributed
an
indirect
associated
feedback,
direct
replacement
playing
minor
role.
These
feedback
processes,
including
solar
brightening,
soil
drying,
stomatal
closure,
act
enhance
initiated
property
replacement.
Geophysical Research Letters,
Journal Year:
2025,
Volume and Issue:
52(8)
Published: April 16, 2025
Abstract
Mapping
thermal
anisotropy
across
global
lands
is
critical
for
advancing
a
wide
range
of
Earth
science
studies.
However,
comprehensive
understanding
intensity
(TAI)
and
its
governing
factors
remains
missing.
We
introduce
novel
data‐driven
methodology
to
quantify
TAI
exclusively
using
multi‐angle
MODIS
land
surface
temperature
time
series
observations.
Our
analysis
reveals
distinct
seasonal
diurnal
patterns,
with
mean
summertime
exceeding
2.9°C.
Furthermore,
we
identify
strong
associations
between
key
atmospheric
parameters,
such
as
leaf
area
index
downward
shortwave
radiation.
findings
advocate
paradigm
shift
from
model‐based
approaches
in
correcting
anisotropy,
thereby
addressing
bottleneck
observation.
