Estimate of Cloudy-Sky Surface Emissivity From Passive Microwave Satellite Data Using Machine Learning

Author:

Zhu Xin-Ming1ORCID,Song Xiao-Ning1,Leng Pei2ORCID,Li Zhao-Liang3ORCID,Li Xiao-Tao4,Gao Liang1ORCID,Guo Da1ORCID

Affiliation:

1. College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing, China

2. Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China

3. ICube (UMR 7357), UdS, CNRS, Illkirch-Graffenstaden, France

4. Chinese Institute of Water Resource and Hydropower Research, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference72 articles.

1. Assessment of the consistency among global microwave land surface emissivity products;norouzi;Atmospheric Measurement Techniques Discussions,2015

2. Microwave remote sensing: Active and passive;ulaby;Theory to Applications,0

3. Salinity Effects on the Microwave Emission of Soils

4. Error Sources in Remote Sensing of Microwave Land Surface Emissivity

5. Microwave Land Emissivity Calculations over the Qinghai-Tibetan Plateau Using FY-3B/MWRI Measurements

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