Review of machine learning methods for aerosol quantitative remote sensing

CHEN Xingfeng; ZHENG Fengjie; GUO Ding; WANG Lili; ZHAO Limin; LI Jiaguo; LI Lei; ZHANG Yuhuan; ZHANG Kainan; XI Meng; LI Kaitao

doi:10.11834/jrs.20210451

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Review of machine learning methods for aerosol quantitative remote sensing
- role：First author第一作者
- Affiliation：
  State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
- Email：chenxf@aircas.ac.cn
- Introduction：陈兴峰，1984年生，男，副研究员，研究方向为大气环境遥感。E-mail： chenxf@aircas.ac.cn
CHEN Xingfeng
1 * ,
- role：Corresponding author通信作者
- Affiliation：
  School of Space Information, Space Engineering University, Beijing 101416, China
- Email：zhengfengjie84@163.com
- Introduction：郑逢杰，1984年生，女，讲师，研究方向为大气环境遥感。E-mail： zhengfengjie84@163.com
ZHENG Fengjie
2 * ,
- Affiliation：
  China Academy of Space Technology, Beijing 100094, China
GUO Ding
3 * ,
- Affiliation：
  State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
WANG Lili
4 * ,
- Affiliation：
  State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
ZHAO Limin
1 * ,
- Affiliation：
  State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
LI Jiaguo
1 * ,
- Affiliation：
  Chinese Academy of Meteorological Sciences, CMA, Beijing 100081, China
LI Lei
5 * ,
- Affiliation：
  Center for Satellite Application on Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China
ZHANG Yuhuan
6 * ,
- Affiliation：
  School of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, China
ZHANG Kainan
7 * ,
- Affiliation：
  Key Laboratory of Space Ocean Remote Sensing and Applications, Beijing 100081, China
XI Meng
8 * ,
- Affiliation：
  State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
LI Kaitao
1 *
Vol. 25, Issue 11, Pages: 2220-2233(2021)
DOI：10.11834/jrs.20210451
Accepted：

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Review of machine learning methods for aerosol quantitative remote sensing

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Review of machine learning methods for aerosol quantitative remote sensing

CHEN Xingfeng

ZHENG Fengjie

GUO Ding

WANG Lili

ZHAO Limin

LI Jiaguo

LI Lei

ZHANG Yuhuan

ZHANG Kainan

XI Meng

LI Kaitao

DOI：10.11834/jrs.20210451

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Figs( 5 ) Tabs( 1 )

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