Feng Zhao

Orcid: 0000-0001-6278-1007

Affiliations:
  • Beihang University, School of Instrumentation Science and Opto-Electronics Engineering, Beijing, China


According to our database1, Feng Zhao authored at least 12 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Monitoring Low-Temperature Stress in Winter Wheat Using TROPOMI Solar-Induced Chlorophyll Fluorescence.
IEEE Trans. Geosci. Remote. Sens., 2024

2022
Retrieval of Red Solar-Induced Chlorophyll Fluorescence With TROPOMI on the Sentinel-5 Precursor Mission.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Evaluation of the FluorWPS Model and Study of the Parameter Sensitivity for Simulating Solar-Induced Chlorophyll Fluorescence.
Remote. Sens., 2021

Sensitivity Analysis of Canopy Structural and Radiative Transfer Parameters to Reconstructed Maize Structures Based on Terrestrial LiDAR Data.
Remote. Sens., 2021

2020
Retrieval of Solar-Induced Chlorophyll Fluorescence at Red Spectral Peak with Tropomi on Sentinel-5 Precursor.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Preliminary Study of Wavelength Positions of Leaf Fluorescence Peaks with Experimental Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Near-Real-Time Flood Forecasting Based on Satellite Precipitation Products.
Remote. Sens., 2019

2017
Detection of crop herbicide injury through plant hyperspectral remote sensing of chlorophyll fluorescence.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2015
Quantitative Estimation of Fluorescence Parameters for Crop Leaves with Bayesian Inversion.
Remote. Sens., 2015

2014
Early Detection of Crop Injury from Glyphosate on Soybean and Cotton Using Plant Leaf Hyperspectral Data.
Remote. Sens., 2014

A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements.
Remote. Sens., 2014

Early detection of crop injury from herbicide glyphosate by leaf biochemical parameter inversion.
Int. J. Appl. Earth Obs. Geoinformation, 2014


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