Fengyun 4A Land Aerosol Retrieval: Algorithm Development, Validation, and Comparison With Other Datasets-Reference-Cited by-同舟云学术

Fengyun 4A Land Aerosol Retrieval: Algorithm Development, Validation, and Comparison With Other Datasets

Published:2023 Issue: Volume:61 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Su Xin¹^ORCID,Wang Lunche¹^ORCID,Cao Mengdan²,Yang Leiku³^ORCID,Zhang Ming²^ORCID,Qin Wenmin²,Cao Qian²,Yang Yikun⁴^ORCID,Li Lei⁵

Affiliation:

1. School of Future Technology (SFT) and the Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

2. Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

3. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China

4. Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China

5. State Key Laboratory of Severe Weather (LASW) and the Key Laboratory of Atmospheric Chemistry (LAC), Chinese Academy of Meteorological Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for National University, China University of Geosciences, Wuhan

Natural Science Foundation of Hubei Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10309958.pdf?arnumber=10309958

Reference61 articles.

1. Enhanced Deep Blue aerosol retrieval algorithm: The second generation