Urban
building
height,
as
a
fundamental
3D
urban
structural
feature,
has
far-reaching
applications.
However,
creating
readily
available
datasets
of
recent
heights
with
fine
spatial
resolutions
and
global
coverage
remains
challenging
task.
Here,
we
provide
150-m
dataset
around
2020
by
combining
the
spaceborne
lidar
(Global
Ecosystem
Dynamics
Investigation,
GEDI),
multi-sourced
data
(Landsat-8,
Sentinel-2,
Sentinel-1),
topographic
data.
The
validation
results
revealed
that
GEDI-estimated
height
samples
were
effective
compared
to
reference
(Pearson's
r
=
0.81,
RMSE
3.58
m).
mapping
product
also
demonstrated
good
performance,
indicated
its
strong
correlation
0.71,
4.73
Compared
currently
existing
datasets,
it
holds
ability
resolution
(150
m)
great
level
inherent
details
about
heterogeneity
flexibility
updating
using
GEDI
inputs.
This
will
boost
future
studies
across
many
fields,
including
environmental,
ecological,
social
sciences.
