Short Biography

Dr. Zhao Feng, associate professor from the school of Instrumentation Science and Opto-electronics Engineering at Beihang University. Currently he also works part time at Hangzhou International Innovational Institute of Beihang University (Hangzhou Campus). He serves on the Editorial Board of the journal Remote Sensing of Environment.

Research Area 

1. Radiative transfer modeling of the Earth's surface and the atmosphere

2. Estimation of surface and atmosphere variables from remote sensing observations

3. Solar-induced chlorophyll fluorescence (SIF)

4. 3D simulations with computer graphics (CG)

Courses

1. Quantitative remote sensing

2. Basics of atmospheric radiation transfer

Papers & Books 

1. Zhao, F. *, Ma, W., Zhao, J., Guo, Y., Tariq, M., & Li, J., 2024. Global retrieval of the spectrum of terrestrial chlorophyll fluorescence: First results with TROPOMI. Remote Sensing of Environment, 300, 113903.

2. Zhao, F.*, Tariq, M., Ma, W., Wu, Z., Zhang, Y., An enhanced method for reconstruction of full SIF spectrum for near-ground measurements, International Journal of Applied Earth Observation and Geoinformation, Volume 134, 2024, 104240.

3. Du, K., Huang, J., Wang, W., Zeng, Y., Li X., and Zhao F., Monitoring Low-Temperature Stress in Winter Wheat Using TROPOMI Solar-Induced Chlorophyll Fluorescence, 2024, IEEE Transactions on Geoscience and Remote Sensing, 62, 1-11, 4402111.

4. Liu, Z., Zhao, F., Liu, X., Yu, Q., Wang, Y., & Peng, X., et al. (2022). Direct estimation of photosynthetic co2 assimilation from solar-induced chlorophyll fluorescence (SIF). Remote Sensing of Environment, 271, 112893. 2022.

5. Zhao, F.*, Ma, W., Kohler, P., Ma, X., Sun, H., Verhoef, W., & Ratul, A. K. (2022). Retrieval of Red Solar-Induced Chlorophyll Fluorescence With TROPOMI on the Sentinel-5 Precursor Mission. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-14.

6. Zhao, F.*, Li, Z., Verhoef, W., Fan, C., Luan, H., Yin, T., & Bao, Y. (2022). Simulation of solar-induced chlorophyll fluorescence by modeling radiative coupling between vegetation and atmosphere with WPS. Remote Sensing of Environment, 277, 113075.

7. Liu, Z., Zhao, F., Liu, X.*, Yu, Q., Wang, Y., & Peng, X., et al., (2022). Direct estimation of photosynthetic CO₂ assimilation from solar-induced chlorophyll fluorescence (SIF). Remote Sensing of Environment, 271, 112893.

8. Ali, B., Zhao, F.*, Li, Z., Zhao, Q., Gong, J., Wang, L., Tong, P., Jiang, Y., Su, W., Bao, Y., Li, J., 2021, Sensitivity Analysis of Canopy Structural and Radiative Transfer Parameters to Reconstructed Maize Structures Based on Terrestrial LiDAR Data. Remote Sens., 13, 3751.

9. Lu, X., Liu, Z., Zhao, F., & Tang, J.* (2020). Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis. Remote Sensing of Environment, 251, 112083.

10. Tong, C., Bao, Y., Zhao, F., Fan, C., Li, Z., Huang, Q., 2021. Evaluation of the FluorWPS Model and Study of the Parameter Sensitivity for Simulating Solar-Induced Chlorophyll Fluorescence. Remote Sens., 13, 1091.

11. Belabid, N., Zhao, F.*, Brocca, L., Huang, Y., & Tan, Y. (2019). Near-real-time flood forecasting based on satellite precipitation products. Remote Sensing, 11(3), 252.

12. Zhao, F.*, Li, R., Verhoef, W., Cogliati, S., Liu, X., Huang, Y., Guo, Y., Huang, J. (2018), Reconstruction of the full spectrum of solar-induced chlorophyll fluorescence: Intercomparison study for a novel method, Remote Sensing of Environment, 219, 233-246.

13. Zhao, F.*, Dai, X., Verhoef, W., Guo, Y., van der Tol, C., Li, Y., & Huang, Y. (2016). FluorWPS: A Monte Carlo ray-tracing model to compute sun-induced chlorophyll fluorescence of three-dimensional canopy. Remote Sensing of Environment, 187, 385-399.

14. Zhao, F.*, Li, Y., Dai, X., Verhoef, W., Guo, Y., Shang, H., & Huang, J. (2015). Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops. Remote Sensing of Environment, 156, 129-142.

15. Zhao, F.*, Guo, Y., Huang, Y., Reddy, K. N., Zhao, Y., & Molin, W. T. (2015). Detection of the onset of glyphosate-induced soybean plant injury through chlorophyll fluorescence signal extraction and measurement. Journal of Applied Remote Sensing, 9(1), 097098.

16. Zhao, F.*, Guo, Y., Huang, Y., Verhoef, W., Van der Tol, C., Dai, B., ... & Liu, G. (2015). Quantitative estimation of fluorescence parameters for crop leaves with bayesian inversion. Remote sensing, 7(10), 14179-14199.

17. Zhao, F.*, Guo, Y., Verhoef, W., Gu, X., Liu, L., & Yang, G. (2014). A method to reconstruct the solar-induced canopy fluorescence spectrum from hyperspectral measurements. Remote sensing, 6(10), 10171-10192.

18. Zhao, F.*, Guo, Y., Huang, Y., Reddy, K. N., Lee, M. A., Fletcher, R. S., & Thomson, S. J. (2014). Early detection of crop injury from herbicide glyphosate by leaf biochemical parameter inversion. International Journal of Applied Earth Observation and Geoinformation, 31, 78-85.

19. Zhao, F.*, Huang, Y., Guo, Y., Reddy, K. N., Lee, M. A., Fletcher, R. S., & Thomson, S. J. (2014). Early detection of crop injury from glyphosate on soybean and cotton using plant leaf hyperspectral data. Remote Sensing, 6(2), 1538-1563.

20. Zhao, F., Gu, X.*, Verhoef, W., Wang, Q., Yu, T., Liu, Q., & Zhao, H. (2010). A spectral directional reflectance model of row crops. Remote Sensing of Environment, 114(2), 265-285.