Junming Yang

发表

The Global LAnd Surface Satellite (GLASS) Evapotranspiration Product Version 5.0: Algorithm development and preliminary validation

S. Liang, J. Fisher, K. Jia, 2022, Journal of Hydrology.

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

J. Fisher, Jiquan Chen, Jie Cheng, 2022, Agricultural and Forest Meteorology.

GBRT-Based Estimation of Terrestrial Latent Heat Flux in the Haihe River Basin from Satellite and Reanalysis Datasets

Zhiqiang Xiao, Yunjun Yao, Xiaozheng Guo, 2021, Remote. Sens..

DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information

S. Liang, J. Fisher, Jiquan Chen, 2021 .

A Novel NIR–Red Spectral Domain Evapotranspiration Model From the Chinese GF-1 Satellite: Application to the Huailai Agricultural Region of China

S. Liang, J. Fisher, Jiquan Chen, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Estimation of Daily Terrestrial Latent Heat Flux with High Spatial Resolution from MODIS and Chinese GF-1 Data

Yi Lin, Kun Jia, Yunjun Yao, 2020, Sensors.

Fusion of Five Satellite-Derived Products Using Extremely Randomized Trees to Estimate Terrestrial Latent Heat Flux over Europe

Junming Yang, Kun Jia, Xiaotong Zhang, 2020, Remote. Sens..

ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis Products

Kun Jia, Yunjun Yao, Ke Shang, 2020, Sensors.

Satellite-Derived Estimation of Grassland Aboveground Biomass in the Three-River Headwaters Region of China during 1982-2018

Huawei Wan, Xiaozheng Guo, Ke Shang, 2021, Remote. Sens..

Simplified Priestley-Taylor Model to Estimate Land-Surface Latent Heat of Evapotranspiration from Incident Shortwave Radiation, Satellite Vegetation Index, and Air Relative Humidity

Xiaotong Zhang, Zhiqiang Xiao, Kun Jia, 2021, Remote. Sens..

Discrepancies in the Simulated Global Terrestrial Latent Heat Flux from GLASS and MERRA-2 Surface Net Radiation Products

Kun Jia, Xianhong Xie, Yunjun Yao, 2020, Remote. Sens..

A Robust Method for Generating High-Spatiotemporal-Resolution Surface Reflectance by Fusing MODIS and Landsat Data

Kun Jia, Yunjun Yao, Xiaotong Zhang, 2020, Remote. Sens..

ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation

Xiaozheng Guo, Lilin Zhang, Ke Shang, 2021, Remote. Sens..

Coupling physical constraints with machine learning for satellite-derived evapotranspiration of the Tibetan Plateau

J. Fisher, K. Jia, Yunjun Yao, 2023, Remote Sensing of Environment.

Coupling a light use efficiency model with a machine learning-based water constraint for predicting grassland gross primary production

J. Fisher, K. Jia, Yunjun Yao, 2023, Agricultural and Forest Meteorology.

Deep Learning for Stock Selection Based on High Frequency Price-Volume Data pdf

Junming Yang, Kangkang Jiang, Yaoqi Li, 2019, ArXiv.

Evaluation of seven satellite-based and two reanalysis global terrestrial evapotranspiration products

Yunjun Yao, Yufu Li, Ke Shang, 2024, Journal of Hydrology.

Soil moisture at 30 m from multiple satellite datasets fused by random forest

J. Fisher, K. Jia, Yunjun Yao, 2023, Journal of Hydrology.

Evaluation of Six Satellite-Based Terrestrial Latent Heat Flux Products in the Vegetation Dominated Haihe River Basin of North China

Yunjun Yao, Xinxin Sui, Jing Ning, 2021, Forests.

Using Partial Cloud-Free Images to Improve Spatiotemporal Fusion for Terrestrial Latent Heat Flux: The Multiphase Self-Adaptive (MSA) Model

K. Jia, Yunjun Yao, Yufu Li, 2024, IEEE Transactions on Geoscience and Remote Sensing.