Junming Yang

Orcid: 0000-0002-0593-6006

Affiliations:
  • Beijing Normal University, Beijing, China


According to our database1, Junming Yang authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Using Partial Cloud-Free Images to Improve Spatiotemporal Fusion for Terrestrial Latent Heat Flux: The Multiphase Self-Adaptive (MSA) Model.
IEEE Trans. Geosci. Remote. Sens., 2024

2021
A Novel NIR-Red Spectral Domain Evapotranspiration Model From the Chinese GF-1 Satellite: Application to the Huailai Agricultural Region of China.
IEEE Trans. Geosci. Remote. Sens., 2021

ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation.
Remote. Sens., 2021

Satellite-Derived Estimation of Grassland Aboveground Biomass in the Three-River Headwaters Region of China during 1982-2018.
Remote. Sens., 2021

Simplified Priestley-Taylor Model to Estimate Land-Surface Latent Heat of Evapotranspiration from Incident Shortwave Radiation, Satellite Vegetation Index, and Air Relative Humidity.
Remote. Sens., 2021

GBRT-Based Estimation of Terrestrial Latent Heat Flux in the Haihe River Basin from Satellite and Reanalysis Datasets.
Remote. Sens., 2021

2020
ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis Products.
Sensors, 2020

Estimation of Daily Terrestrial Latent Heat Flux with High Spatial Resolution from MODIS and Chinese GF-1 Data.
Sensors, 2020

A Robust Method for Generating High-Spatiotemporal-Resolution Surface Reflectance by Fusing MODIS and Landsat Data.
Remote. Sens., 2020

Fusion of Five Satellite-Derived Products Using Extremely Randomized Trees to Estimate Terrestrial Latent Heat Flux over Europe.
Remote. Sens., 2020

Discrepancies in the Simulated Global Terrestrial Latent Heat Flux from GLASS and MERRA-2 Surface Net Radiation Products.
Remote. Sens., 2020


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