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Ke Shang
Observed name:
K. Shang
Institution:
Space Engineering University
Observed institutions:
Chinese Academy of Sciences,
Beijing Normal University,
Ohio University,
Institute of Remote Sensing and Digital Earth,
Space Engineering University,
State Key Laboratory of Remote Sensing Science,
The Ohio State University
show all 7
ORCID:
0000-0001-7564-6509
Observed ORCID:
0000-0001-7564-6509
OpenAlex ID:
A5045391869
Coupling physical constraints with machine learning for satellite-derived evapotranspiration of the Tibetan Plateau
2023
·
Ke Shang
, Yunjun Yao
, et al.
·
Remote Sensing of Environment
·
104
Evaluation of seven satellite-based and two reanalysis global terrestrial evapotranspiration products
2024
·
Zijing Xie
, Yunjun Yao
, et al.
·
Journal of Hydrology
·
64
PDF
DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information
2021
·
Ke Shang
, Yunjun Yao
, et al.
·
Agricultural and Forest Meteorology
·
58
The Global LAnd Surface Satellite (GLASS) evapotranspiration product Version 5.0: Algorithm development and preliminary validation
2022
·
Zijing Xie
, Yunjun Yao
, et al.
·
Journal of Hydrology
·
56
PDF
Soil moisture at 30 m from multiple satellite datasets fused by random forest
2023
·
Jing Ning
, Yunjun Yao
, et al.
·
Journal of Hydrology
·
41
PDF
GBRT-Based Estimation of Terrestrial Latent Heat Flux in the Haihe River Basin from Satellite and Reanalysis Datasets
2021
·
Lu Wang
, Yuhu Zhang
, et al.
·
Remote Sensing
·
41
PDF
Fusion of Five Satellite-Derived Products Using Extremely Randomized Trees to Estimate Terrestrial Latent Heat Flux over Europe
2020
·
Ke Shang
, Yunjun Yao
, et al.
·
Remote Sensing
·
37
PDF
Satellite-Derived Estimation of Grassland Aboveground Biomass in the Three-River Headwaters Region of China during 1982–2018
2021
·
Ruiyang Yu
, Yunjun Yao
, et al.
·
Remote Sensing
·
29
PDF
Discrepancies in the Simulated Global Terrestrial Latent Heat Flux from GLASS and MERRA-2 Surface Net Radiation Products
2020
·
Xiaozheng Guo
, Yunjun Yao
, et al.
·
Remote Sensing
·
29
PDF
Assessing the Remotely Sensed Evaporative Drought Index for Drought Monitoring over Northeast China
2019
·
Lilin Zhang
, Yunjun Yao
, et al.
·
Remote Sensing
·
28
PDF
A Robust Method for Generating High-Spatiotemporal-Resolution Surface Reflectance by Fusing MODIS and Landsat Data
2020
·
Junming Yang
, Yunjun Yao
, et al.
·
Remote Sensing
·
24
PDF
Multimodel ensemble estimation of Landsat-like global terrestrial latent heat flux using a generalized deep CNN-LSTM integration algorithm
2024
·
Xiaozheng Guo
, Yunjun Yao
, et al.
·
Agricultural and Forest Meteorology
·
23
PDF
Coupling a light use efficiency model with a machine learning-based water constraint for predicting grassland gross primary production
2023
·
Ruiyang Yu
, Yunjun Yao
, et al.
·
Agricultural and Forest Meteorology
·
23
PDF
A novel TIR-derived three-source energy balance model for estimating daily latent heat flux in mainland China using an all-weather land surface temperature product
2022
·
Junming Yang
, Yunjun Yao
, et al.
·
Agricultural and Forest Meteorology
·
23
PDF
A Novel NIR–Red Spectral Domain Evapotranspiration Model From the Chinese GF-1 Satellite: Application to the Huailai Agricultural Region of China
2020
·
Yunjun Yao
, Shunlin Liang
, et al.
·
IEEE Transactions on Geoscience and Remote Sensing
·
19
Simplified Priestley–Taylor Model to Estimate Land-Surface Latent Heat of Evapotranspiration from Incident Shortwave Radiation, Satellite Vegetation Index, and Air Relative Humidity
2021
·
Yunjun Yao
, Zhenhua Di
, et al.
·
Remote Sensing
·
14
PDF
Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets
2019
·
Xiangyi Bei
, Yunjun Yao
, et al.
·
Remote Sensing
·
14
PDF
Estimation of Daily Terrestrial Latent Heat Flux with High Spatial Resolution from MODIS and Chinese GF-1 Data
2020
·
Xiangyi Bei
, Yunjun Yao
, et al.
·
Sensors
·
13
PDF
ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis Products
2020
·
Xiaowei Chen
, Yunjun Yao
, et al.
·
Sensors
·
10
PDF
ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation
2021
·
Lilin Zhang
, Yunjun Yao
, et al.
·
Remote Sensing
·
7
PDF
Estimation of High-Resolution Global Monthly Ocean Latent Heat Flux from MODIS SST Product and AMSR-E Data
2020
·
Xiaowei Chen
, Yunjun Yao
, et al.
·
Advances in Meteorology
·
7
PDF
Evaluation of Six Satellite-Based Terrestrial Latent Heat Flux Products in the Vegetation Dominated Haihe River Basin of North China
2021
·
Yufu Li
, Xinxin Sui
, et al.
·
Forests
·
4
PDF
Integrating Latent Heat Flux Products from MODIS and Landsat Data Using Multi-Resolution Kalman Filter Method in the Midstream of Heihe River Basin of Northwest China
2019
·
Jia Xu
, Yunjun Yao
, et al.
·
Remote Sensing
·
4
PDF
On the formulation of gravitational potential difference between the GRACE satellites based on energy integral in Earth fixed frame
2015
·
Y.Y. Zeng
, J.Y. Guo
, et al.
·
Geophysical Journal International
·
3
PDF
Improved Source Parameter Constraints for Recent Large Undersea Earthquakes from High-degree GRACE Gravity and Gravity Gradient Change Measurements
2014
·
Chunli Dai
, C. K. Shum
, et al.
·
AGU Fall Meeting Abstracts
·
1
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Works count:
39
Citation count:
676
H-index:
15
I10-index:
19
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