Fang-Cheng Zhou
Orcid: 0000-0002-4547-1784
According to our database1,
Fang-Cheng Zhou
authored at least 12 papers
between 2014 and 2024.
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Bibliography
2024
A Physics-Based Method for Retrieving Land Surface Emissivities from FengYun-3D Microwave Radiation Imager Data.
Remote. Sens., January, 2024
A Physical Process-Based Enhanced Adjacent Channel Retrieval Algorithm for Obtaining Cloudy-Sky Surface Temperature.
IEEE Trans. Geosci. Remote. Sens., 2024
Accuracy Evaluation of Two Remotely Sensed Land Surface Temperature Products in High Vegetation Areas.
Proceedings of the IGARSS 2024, 2024
2022
Performances of six reanalysis profile products in the atmospheric correction of passive microwave data for estimating land surface temperature under cloudy-sky conditions.
Int. J. Digit. Earth, 2022
2019
A Physical Method for Retrieving Microwave Land Surface Emissivity under all-Weather Conditions.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
A Practical Two-Stage Algorithm for Retrieving Land Surface Temperature from AMSR-E Data - A Case Study Over China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Estimation of Annual Averaged Evapotranspiration by Using Passive Microwave Observations.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Retrieving K-Band Instantaneous Microwave Land Surface Emissivity Based on Passive Microwave Brightness Temperature and Atmospheric Precipitable Water Vapor Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
An algorithm for retrieving land surface temperature from AMSR-E data over the desert regions.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
An algorithm for retrieving instantaneous microwave land surface emissivity from passive microwave brightness temperature and precipitable water vapor data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2014
First Results of Estimating Surface Soil Moisture in the Vegetated Areas Using ASAR and Hyperion Data: The Chinese Heihe River Basin Case Study.
Remote. Sens., 2014