Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method

A Jia, H Ma, S Liang, D Wang - Remote Sensing of Environment, 2021 - Elsevier
simultaneously inverts multiple environmental variables with physical consistency from
optical-thermal … This study applied the latest simultaneous retrieval scheme to the TOA VIIRS data

Simultaneous estimation of five temporally regular land variables at seven spatial resolutions from seven satellite data using a multi-scale and multi-depth …

G Zhang, S Liang, H Ma, T He, G Yin, J Xu, X Liu… - Remote Sensing of …, 2024 - Elsevier
… utilize this multi-resolution data. Developing methods to simultaneously estimate land surface
… After we train the model to retrieve multiple variables from VIIRS TOA observations at six …

Estimation of land surface incident and net shortwave radiation from Visible Infrared Imaging Radiometer Suite (VIIRS) using an optimization method

Y Zhang, S Liang, T He, D Wang, Y Yu - Remote Sensing, 2020 - mdpi.com
… In this study, we adapted the algorithm for the estimation of ISR from VIIRS data by revising
the band configuration and the spectrum of radiation transfer simulation. An assumption is …

Estimating Land Surface All-Wave Daily Net Radiation From VIIRS Top-of-Atmosphere Data

X Yin, B Jiang, Y Chen, Y Zhao, X Zhang… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
parameters, and the … VIIRS TOA-based daily Rn estimation algorithm with constraints,
which consists of five conditional models to fill the study gap in Rn estimates based on VIIRS data

An optimization approach for estimating multiple land surface and atmospheric variables from the geostationary advanced Himawari imager top-of-atmosphere …

H Ma, S Liang, H Shi, Y Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
land surface and atmospheric variables simultaneously, for … using both MODIS and VIIRS
surface reflectance and TOA thermal … data products, such as cloud mask and cloud parameters, …

Developing a land continuous variable estimator to generate daily land products from Landsat data

H Ma, S Liang, Z Zhu, T He - IEEE Transactions on Geoscience …, 2021 - ieeexplore.ieee.org
… albedo) from MODIS and VIIRS data by employing an EnKF … continuous land surface variables
simultaneously from Landsat data … from MODIS opticalthermal observations,” ISPRS J. …

Simultaneous retrieval of land surface temperature and emissivity from the FengYun-4A advanced geosynchronous radiation imager

W Liu, J Shi, S Liang, S Zhou… - International Journal of …, 2022 - Taylor & Francis
This paper extends a new temperature and emissivity separation (TES) algorithm for
retrieving land surface temperature and emissivity (LST and LSE) to the Advanced …

Estimating hourly all-weather land surface temperature from FY-4A/AGRI imagery using the surface energy balance theory

W Liu, J Cheng, Q Wang - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
… the fifth-generation ECMWF reanalysis (ERA5) data, obtained the LST under hypothetical
clear-sky conditions by feeding MODIS and VIIRS LST products into the model, and recovered …

Estimation and Spatiotemporal Analysis of All-Sky Land Surface Temperature from Multiple Satellite Data

A Jia - 2023 - search.proquest.com
… Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface
energy balance-based method." Remote Sensing of Environment 263 (2021): 112566. …

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
… It was also shown that simultaneous estimation of all seven … land surface and atmospheric
variables from the VIIRS TOA reflectance using the ML model, allowing us to avoid many