Buildings,
Journal Year:
2025,
Volume and Issue:
15(4), P. 628 - 628
Published: Feb. 18, 2025
Landscape
visual
evaluation
is
a
key
method
for
assessing
the
value
of
landscape
resources.
This
study
aims
to
enhance
environment
and
sensory
quality
urban
landscapes
by
establishing
standards
comfort
natural
landscapes.
Using
line-of-sight
multi-factor
analysis
algorithms,
assesses
spatial
visibility
exposure
building
clusters
in
core
areas
Harbin,
identifying
viewpoints
with
high
potential.
Focusing
on
landmark
3D
models
surrounding
landscape’s
environment,
uses
city’s
sky,
greenery,
water
features
as
elements
evaluating
By
integrating
GIS
data,
big
data
street-view
photos,
image
semantic
recognition,
algorithms
extract
both
objective
subjective
values
at
observation
points,
followed
mathematical
modeling
quantitative
analysis.
The
explores
coupling
relationship
between
physical
perceived
visibility.
results
show
that
effectively
reveals
buildings
landscapes,
providing
scientific
support
planning
contributing
development
more
distinctive
attractive
space.
Buildings,
Journal Year:
2024,
Volume and Issue:
14(8), P. 2388 - 2388
Published: Aug. 2, 2024
Urban
landscape
patterns
significantly
impact
land
surface
temperature
(LST)
and
the
urban
heat
island
(UHI)
effect.
This
study
employs
boosted
regression
tree
(BRT)
model
variance
partitioning
analysis
to
examine
contributions
relationships
of
two-dimensional
three-dimensional
building
vegetation
LST,
their
marginal
effects
at
different
heights.
The
results
show
that
dominant
indicators
affecting
LST
differ
between
buildings
vegetation,
with
features
being
slightly
more
important
than
(percentage
buildings)
(three-dimensional
green
index)
having
a
greater
features.
When
both
are
considered,
still
have
significant
explanatory
power.
Building
height
differences
influence
each
indicator’s
contribution
on
lower-height
areas
seeing
joint
dominance
changes,
higher-height
showing
from
indicators.
Increasing
percentage
(PLAND_V)
provides
best
cooling
effect
in
lower-building-height
areas,
but
higher-building-height
weakens,
requiring
additional
assist
cooling.
Buildings,
Journal Year:
2025,
Volume and Issue:
15(4), P. 628 - 628
Published: Feb. 18, 2025
Landscape
visual
evaluation
is
a
key
method
for
assessing
the
value
of
landscape
resources.
This
study
aims
to
enhance
environment
and
sensory
quality
urban
landscapes
by
establishing
standards
comfort
natural
landscapes.
Using
line-of-sight
multi-factor
analysis
algorithms,
assesses
spatial
visibility
exposure
building
clusters
in
core
areas
Harbin,
identifying
viewpoints
with
high
potential.
Focusing
on
landmark
3D
models
surrounding
landscape’s
environment,
uses
city’s
sky,
greenery,
water
features
as
elements
evaluating
By
integrating
GIS
data,
big
data
street-view
photos,
image
semantic
recognition,
algorithms
extract
both
objective
subjective
values
at
observation
points,
followed
mathematical
modeling
quantitative
analysis.
The
explores
coupling
relationship
between
physical
perceived
visibility.
results
show
that
effectively
reveals
buildings
landscapes,
providing
scientific
support
planning
contributing
development
more
distinctive
attractive
space.
