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

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. …

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, …

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