A machine learning method trained by radiative transfer model inversion for generating seven global land and atmospheric estimates from VIIRS top-of-atmosphere …

G Zhang, H Ma, S Liang, A Jia, T He, D Wang - Remote Sensing of …, 2022 - Elsevier
Abstract The Visible Infrared Imaging Radiometer Suite (VIIRS) has observed the Earth
since 2011 and will continue for several decades. Unfortunately, few high-level land surface …

Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data

J Estévez, J Vicent, JP Rivera-Caicedo… - ISPRS Journal of …, 2020 - Elsevier
Retrieval of vegetation properties from satellite and airborne optical data usually takes place
after atmospheric correction, yet it is also possible to develop retrieval algorithms directly …

Emulation as an accurate alternative to interpolation in sampling radiative transfer codes

J Vicent, J Verrelst, JP Rivera-Caicedo… - IEEE Journal of …, 2018 - ieeexplore.ieee.org
Computationally expensive radiative transfer models (RTMs) are widely used to realistically
reproduce the light interaction with the earth surface and atmosphere. Because these …

Multitemporal-patch ensemble inversion of coupled surface–atmosphere radiative transfer models for land surface characterization

C Lauvernet, F Baret, L Hascoët, S Buis… - Remote Sensing of …, 2008 - Elsevier
In the last few years, encouraging results using radiative transfer model inversion
techniques were obtained for land biophysical variables retrieval. However, the inversion of …

Evaluation of radiative transfer models in atmospheric profiling with broadband infrared radiance measurements

X Jin, J Li, TJ Schmit, MD Goldberg - International journal of remote …, 2011 - Taylor & Francis
The infrared (IR) profile sounding based on satellite observations is an irreplaceable
technique to monitor global atmospheric moisture information with high spatial resolutions …

Consistent estimation of multiple parameters from MODIS top of atmosphere reflectance data using a coupled soil-canopy-atmosphere radiative transfer model

H Shi, Z Xiao, S Liang, X Zhang - Remote Sensing of Environment, 2016 - Elsevier
Traditional methods usually estimate individual land surface parameters separately from
surface reflectance data, a practice which requires atmospheric correction for top of …

Simultaneous Estimation of LAI, PAR, FAPAR and Surface Albedo at Multiple Spatial Scales from Top-of-Atmosphere Satellite Observations with Different Spatial …

J Li, X Zhan, Z Xiao, H Shi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Current global land-surface parameter products are generally derived from surface
reflectance data acquired by a single satellite sensor, which requires atmospheric …

Estimating 250-m land surface and atmospheric variables from MERSI top-of-atmosphere reflectance

G Zhang, H Ma, S Liang - IEEE Transactions on Geoscience …, 2021 - ieeexplore.ieee.org
The medium-resolution spectral imager (MERSI) onboard China's new generation of polar-
orbiting meteorological satellite series FengYun-3 (FY-3) is providing global observations of …

Bayesian object-based estimation of LAI and chlorophyll from a simulated Sentinel-2 top-of-atmosphere radiance image

VCE Laurent, ME Schaepman, W Verhoef… - Remote Sensing of …, 2014 - Elsevier
Leaf area index (LAI) and chlorophyll content (Cab) are important vegetation variables
which can be monitored using remote sensing (RS). Physically-based approaches have …

Direct estimation of land surface albedo from VIIRS data: Algorithm improvement and preliminary validation

D Wang, S Liang, T He, Y Yu - Journal of Geophysical …, 2013 - Wiley Online Library
Land surface albedo (LSA), part of the Visible Infrared Imaging Radiometer Suite (VIIRS)
surface albedo environmental data record (EDR), is an essential variable regulating …