Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part II: Global validation and Intercomparison
Cheng Chen,
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Pavel Litvinov,
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Оleg Dubovik
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et al.
Remote Sensing of Environment,
Journal Year:
2024,
Volume and Issue:
313, P. 114374 - 114374
Published: Aug. 22, 2024
Language: Английский
A High-Resolution Aerosol Retrieval Algorithm Via Deep Learning
Bing Tu,
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Chengxin Hu,
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Bo Liu
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et al.
Published: Jan. 1, 2025
Language: Английский
Multispectral Land Surface Reflectance Reconstruction Based on Non-Negative Matrix Factorization: Bridging Spectral Resolution Gaps for GRASP TROPOMI BRDF Product in Visible
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(6), P. 1053 - 1053
Published: March 17, 2025
In
satellite
remote
sensing,
mixed
pixels
commonly
arise
in
medium-
and
low-resolution
imagery,
where
surface
reflectance
is
a
combination
of
various
land
cover
types.
The
widely
adopted
linear
mixing
model
enables
the
decomposition
into
constituent
endmembers,
effectively
bridging
spectral
resolution
gaps
by
retrieving
properties
individual
This
study
introduces
method
to
enhance
multispectral
data
reconstructing
additional
information,
particularly
visible
range,
using
TROPOMI
BRDF
product
generated
Generalized
Retrieval
Atmosphere
Surface
Properties
(GRASP)
algorithm.
Employing
non-negative
matrix
factorization
(NMF),
approach
extracts
basis
vectors
from
reference
libraries
reconstructs
key
features
limited
number
wavelength
bands.
comprehensive
test
results
show
that
this
effective
supplementing
information
for
specific
wavelengths
gas
absorption
strong
or
atmospheric
correction
errors
are
significant,
demonstrating
its
applicability
not
only
within
400–800
nm
range
but
also
across
broader
400–2400
nm.
While
substitute
hyperspectral
observations,
provides
cost-effective
means
address
datasets,
facilitating
improved
characterization
environmental
monitoring.
Future
research
will
focus
on
refining
libraries,
improving
reconstruction
accuracy,
expanding
robustness
diverse
sensing
applications.
Language: Английский
Monitoring of aerosol optical-microphysical properties from DPC/GF-5(02): A case study of dust event in North China Plain
Yujia Cao,
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Cheng Chen,
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Haixiao Yu
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et al.
Atmospheric Environment,
Journal Year:
2025,
Volume and Issue:
unknown, P. 121193 - 121193
Published: March 1, 2025
Language: Английский
Retrieval of Aerosol and Surface Properties at High Spatial Resolution: Hybrid Approach and Demonstration Using Sentinel‐5p/TROPOMI and PRISMA
Cheng Chen,
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Pavel Litvinov,
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Оleg Dubovik
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et al.
Journal of Geophysical Research Atmospheres,
Journal Year:
2024,
Volume and Issue:
129(15)
Published: Aug. 2, 2024
Abstract
Satellite
remote
sensing
of
aerosol
is
largely
conducted
at
moderate
or
coarse
spatial
resolution
around
1–10
km.
Nevertheless,
urban
areas
with
high
human
activity,
can
originate
from
complex
emission
sources
and
may
also
vary
strongly
in
space.
Therefore,
characterization
fine
essential
for
air
quality
study
assessment
anthropogenic
pollution
as
well
climate
effects.
However,
space‐borne
instruments
are
usually
limited
swath
width
spectral
coverage
which
result
lowering
information
content
required
surface
retrieval.
Based
on
the
Generalized
Retrieval
Atmosphere
Surface
Properties
(GRASP)
algorithm,
we
propose
a
hybrid
approach
by
combining
measurements
to
retrieve
properties
simulataneously
resolution.
The
revisting
time
provide
advanced
characterization.
At
same
time,
sensitive
variability
nearby
sources.
In
this
study,
GRASP/Hybrid
demonstrated
tested
based
European
Space
Agency
Sentinel‐5p/TROPOMI
together
Italian
PRISMA
satellite
data.
Specifically,
detailed
microphysical
10
km
retrievals
used
priori
derive
loading
100
meter
(m)
m
retrieval
developed
evaluated
using
available
ground‐based
measurements,
including
AERONET,
VIIRS/DB
Level
2
reflectance
products.
Language: Английский