Postdoctoral Associate, ISEE, ASC
Education:
Ph.D., 2022, Hydrology, University of Minnesota
M.Sc., 2020, Hydrology, University of Minnesota
M.Sc., 2017, Geoscience, Nanjing University
B.Sc., 2014, Geoscience, Suzhou University of Science & Technology
Research:
My research interests include remote sensing, hydrology, and plant biology with a special focus on (1) remote sensing of surface soil moisture and vegetation and (2) the impacts of tropospheric ozone and drought on plant productivity.
Publications:
- Lun Gao, Qiang Gao, Hankui Zhang, Xiaojun Li, Mario Julian Chaubell, Ardeshir Ebtehaj, Lian Shen, and Jean-Pierre Wigneron (2022). “A Deep Neural Network Based SMAP Soil Moisture Product”. Remote Sensing of Environment. DOI: 10.1016/j.rse.2022.113059.
- Lun Gao, Ardeshir Ebtehaj, Judah Cohen, and Jean-Pierre Wigneron (2022). “Variability and Changes of Unfrozen Soils below Snowpack”. Geophysical Research Letters. DOI: 10.1029/2021GL095354.
- Lun Gao, Ardeshir Ebtehaj, Mario Julian Chaubell, Morteza Sadeghi, Xiaojun Li, and Jean-Pierre Wigneron (2021). “Reappraisal of SMAP Inversion Algorithms for Soil Moisture and Vegetation Optical Depth”. Remote Sensing of Environment, DOI: 10.1016/j.rse.2021.112627.
- Lun Gao, Morteza Sadeghi, Ardeshir Ebtehaj, and Jean-Pierre Wigneron (2020). “A Temporal Polarization Ratio Algorithm for Calibration-free Retrieval of Soil Moisture in L-band”. Remote Sensing of Environment, DOI: 10.1016/j.rse.2020.112019.
- Lun Gao, Morteza Sadeghi, and Ardeshir Ebtehaj (2020). “A Spatially Constrained Multi-Channel Algorithm for Inversion of a First-Order Microwave Emission Model in L-Band”. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2020.2987490.
- Lun Gao, Morteza Sadeghi, and Ardeshir Ebtehaj (2020), “Microwave Retrievals of Soil Moisture and Vegetation Optical Depth with Improved Resolution using a Combined Constrained Inversion Algorithm: Application for SMAP Satellite”. Remote Sensing of Environment, DOI: 10.1016/j.rse.2020.111662.
- Lun Gao, Wenfeng Zhan, Fan Huang, Xiaolin Zhu, Ji Zhou, Jinling Quan, Peijun Du, and Manchun Li (2017), “Disaggregation of Remotely Sensed Land Surface Temperature: A Simple yet Flexible Index (SIFI) to Assess Method Performances”, Remote Sensing of Environment, DOI: 10.1016/j.rse.2017.08.003.
- Lun Gao, Wenfeng Zhan, Fan Huang, Jinling Quan, Xiaoman Lu, Fei Wang, Weimin Ju, and Ji Zhou (2017), “Localization or Globalization? Determination of the Optimal Regression Window for Disaggregation of Land Surface Temperature”, IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2016.2608987.
Presentations:
1. Lun Gao, Qiang Gao, Hankui Zhang, Xiaojun Li, Mario Julian Chaubell, Ardeshir Ebtehaj, Lian Shen, and Jean-Pierre Wigneron (2022). “SMAP Soil Moisture Estimation Based on Deep Neural Networks”. American Geophysical Union, Chicago, IL.
2. Lun Gao, Elizabeth A. Ainsworth, Kaiyu Guan, Liyin He, Chongya Jiang, Xiaocui Wu, Xiaoman Lu (2022). “High Tropospheric Ozone Concentration Increases the Vulnerability of Plants to Atmospheric Drought”. American Geophysical Union, Chicago, IL.
4. Lun Gao, Ardeshir Ebtehaj, Mario Julian Chaubell, Morteza Sadeghi, Xiaojun Li, and Jean-Pierre Wigneron (2021). “SMAP Retrievals of Soil Moisture and Vegetation Optical Depth: A Global Inter-comparison of Multiple Dual Channel Algorithms”. American Geophysical Union, New Orleans, LA.
5. Lun Gao, Morteza Sadeghi, Ardeshir Ebtehaj, and Jean-Pierre Wigneron (2020). “A Temporal Polarization Ratio Algorithm for Calibration-free Retrieval of Soil Moisture in L-band”. American Geophysical Union.
7. Lun Gao, Morteza Sadeghi, and Ardeshir Ebtehaj (2019), “Physically Constrained Inversion of Radiative Transfer Models in L-band for High-resolution Retrievals of Soil Moisture and Vegetation Optical Depth from Space”, American Geophysical Union, San Francisco, CA.
8. Lun Gao and Ardeshir Ebtehaj (2018), “A Combined Dynamically Constrained Inversion for Super-resolved L-band Soil Moisture”, American Geophysical Union, Washington DC.