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A machine learning method trained by radiative transfer model inversion for generating seven global land and atmospheric estimates from VIIRS top-of-atmosphere observations.

Impact Factor:13.85

Journal:Remote Sensing of Environment

Indexed by:SCI

Document Type:J

Translation or Not:no

Included Journals:SCI

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zhangguodong

Lecturer (higher education)

Gender:Male Education Level:PhD graduate Alma Mater:武汉大学 Degree:Doctor of engineering Status:在岗 School/Department:地球科学与工程学院 Business Address:四川省成都市西南交通大学犀浦校区4号楼4222室

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Paper Publications

A machine learning method trained by radiative transfer model inversion for generating seven global land and atmospheric estimates from VIIRS top-of-atmosphere observations.