Yun Bai

Orcid: 0000-0002-3477-7884

  • Qingdao University, College of Computer Science and Technology, Remote Sensing Information and Digital Earth Center, China
  • Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, China (PhD 2019)

According to our database1, Yun Bai authored at least 17 papers between 2019 and 2024.

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



In proceedings 
PhD thesis 


Online presence:



Prediction of Large-Scale Regional Evapotranspiration Based on Multi-Scale Feature Extraction and Multi-Headed Self-Attention.
Remote. Sens., April, 2024

Ecosystem Evapotranspiration Partitioning and Its Spatial-Temporal Variation Based on Eddy Covariance Observation and Machine Learning Method.
Remote. Sens., October, 2023

Aboveground Biomass Dynamics of a Coastal Wetland Ecosystem Driven by Land Use/Land Cover Transformation.
Remote. Sens., August, 2023

Improving the Estimation of Gross Primary Productivity across Global Biomes by Modeling Light Use Efficiency through Machine Learning.
Remote. Sens., April, 2023

Drought Monitoring and Performance Evaluation Based on Machine Learning Fusion of Multi-Source Remote Sensing Drought Factors.
Remote. Sens., December, 2022

Improving the Gross Primary Productivity Estimate by Simulating the Maximum Carboxylation Rate of the Crop Using Machine Learning Algorithms.
IEEE Trans. Geosci. Remote. Sens., 2022

Evaluating the Effectiveness of Machine Learning and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-Scale Region.
Remote. Sens., 2022

Machine learning and remote sensing-based modeling of the optimal stomatal behavior of crops.
Comput. Electron. Agric., 2022

Remote Sensing-Based Quantification of the Summer Maize Yield Gap Induced by Suboptimum Sowing Dates over North China Plain.
Remote. Sens., 2021

Assessment and Comparison of Six Machine Learning Models in Estimating Evapotranspiration over Croplands Using Remote Sensing and Meteorological Factors.
Remote. Sens., 2021

Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño-Southern Oscillation (ENSO).
Remote. Sens., 2021

Using remote sensing information to enhance the understanding of the coupling of terrestrial ecosystem evapotranspiration and photosynthesis on a global scale.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Spatio-Temporal Patterns of Drought and Impact on Vegetation in North and West Africa Based on Multi-Satellite Data.
Remote. Sens., 2020

Monitoring of Drought Condition and Risk in Bangladesh Combined Data From Satellite and Ground Meteorological Observations.
IEEE Access, 2020

Regional Assessment of Climate Potential Productivity of Terrestrial Ecosystems and Its Responses to Climate Change Over China From 1980-2018.
IEEE Access, 2020

Temporal-Spatial Distribution of Chlorophyll-a and Impacts of Environmental Factors in the Bohai Sea and Yellow Sea.
IEEE Access, 2019

Developing a Method to Estimate Maize Area in North and Northeast of China Combining Crop Phenology Information and Time-Series MODIS EVI.
IEEE Access, 2019