Remote sensing of earth's energy budget: Synthesis and review

S Liang, D Wang, T He, Y Yu - International Journal of Digital Earth, 2019 - Taylor & Francis
The Earth's climate is largely determined by its energy budget. Since the 1960s, satellite
remote sensing has been used in estimating these energy budget components at both the …

The global land surface satellite (GLASS) product suite

S Liang, J Cheng, K Jia, B Jiang, Q Liu… - Bulletin of the …, 2021 - journals.ametsoc.org
The Global Land Surface Satellite (GLASS) product suite currently contains 12 products,
including leaf area index, fraction of absorbed photosynthetically active radiation, fraction of …

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
Land surface temperature (LST) has been effectively retrieved from thermal infrared (TIR)
satellite measurements under clear-sky conditions. However, TIR satellite data are often …

Estimation of all-sky 1 km land surface temperature over the conterminous United States

B Li, S Liang, X Liu, H Ma, Y Chen, T Liang… - Remote Sensing of …, 2021 - Elsevier
Land surface temperature (LST) is a crucial parameter for hydrology, climate monitoring, and
ecological and environmental research. LST products from thermal infrared (TIR) satellite …

A stepwise downscaling method for generating high-resolution land surface temperature from AMSR-E data

Q Zhang, N Wang, J Cheng, S Xu - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
A stepwise downscaling method is proposed for generating high-resolution land surface
temperature (LST) from advanced microwave scanning radiometer for the Earth observing …

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
Since a new generation of geostationary satellite data has incredibly high temporal, spatial,
and spectral resolutions, new methodologies are now needed to take advantage of both the …

[PDF][PDF] 我国叶面积指数卫星遥感产品生产及验证

方红亮 - 遥感技术与应用, 2020 - rsta.ac.cn
利用卫星遥感生产叶面积指数(Leaf area index: LAI) 产品并进行真实性检验是植被定量遥感的
一项重要研究内容. 过去10 a, 我国研究人员利用MODIS 或AVHRR 观测数据生产了 …

Generation and evaluation of LAI and FPAR products from Himawari-8 advanced Himawari imager (AHI) data

Y Chen, K Sun, C Chen, T Bai, T Park, W Wang… - Remote Sensing, 2019 - mdpi.com
Leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) absorbed by
vegetation are two of the essential biophysical variables used in most global models of …

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
Various satellite sensors have provided a huge amount of observations of Earth's
environment at variable spatial and temporal resolutions. Many global coarse-resolution …

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 …