A Cloud Identification Method Based on Spectral and Textural Characteristics of Oxygen A Band in TROPOMI Imagery

Author:

Guo Zijian1ORCID,Li Siwei2,Yang Jie3ORCID,Song Ge1ORCID,Teng Mengfan1

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

2. Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China

3. School of Remote Sensing and Information Engineering and the Electronic Information School, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Foundation for Innovative Research Groups of the Hubei Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference56 articles.

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2. Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project

3. Impact of clouds on atmospheric heating based on the R04 CloudSat fluxes and heating rates data set

4. Cloud-type discrimination via multispectral textural analysis;lamei;Opt Eng,1994

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