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Remote Sensing of Surface Soil Moisture from FengYun MicroWave Radiation Imager (MWRI) Data Using a Machine Learning Technique

2020
<p>In the past, soil moisture can be retrieved from microwave imager over most of land conditions. However, the algorithm performances over Tibetan Plateau and the Northwest China vary greatly from one to another due to frozen soils and surface volumetric scattering.
Sibo Zhang, Wei Yao
openaire   +1 more source

In-Orbit Calibration of FengYun-3C Microwave Radiation Imager: Nonlinearity Correction

IEEE Transactions on Geoscience and Remote Sensing, 2021
Songyan Gu, Xinxin Xie, Kesong Dong
exaly  

In-Orbit Calibration Uncertainty of the Microwave Radiation Imager on board Fengyun-3C

Journal of Meteorological Research, 2022
Xinxin Xie, Jiakai He
exaly  

Estimation and Correction of Geolocation Errors in FengYun-3C Microwave Radiation Imager Data

IEEE Transactions on Geoscience and Remote Sensing, 2016
Fei Tang, Xiaolei Zou, Fuzhong Weng
exaly  

Environmental Data Records From FengYun-3B Microwave Radiation Imager

IEEE Transactions on Geoscience and Remote Sensing, 2012
Xiaolei Zou, Hu Yang
exaly  

The FengYun-3 Microwave Radiation Imager On-Orbit Verification

IEEE Transactions on Geoscience and Remote Sensing, 2011
Ming Bai, Fuzhong Weng, Hu Yang
exaly  

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