Application and challenge of machine learning in the satellite remote sensing of atmospheric aerosols

LI Zhengqiang; JI Zhe; ZHANG Zihan; YAN Xiaoxi; GU Haoran; LI Zhiyu; YAO Qian; WANG Shunzhi; WANG Jiayao

doi:10.11834/jrs.20255214

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Application and challenge of machine learning in the satellite remote sensing of atmospheric aerosols
- role：First author第一作者
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
  State Key Laboratory of Spatial Datum, College of Remote Sensing and Geoinformatics Engineering, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou 450046, China
  University of Chinese Academy of Sciences, Beijing 100049, China
- Email：lizq@ radi.ac.cn
- Introduction：李正强，研究方向为环境遥感。E-mail： lizq@ radi.ac.cn
LI Zhengqiang
123 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
  University of Chinese Academy of Sciences, Beijing 100049, China
JI Zhe
13 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
ZHANG Zihan
1 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
YAN Xiaoxi
1 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
  University of Chinese Academy of Sciences, Beijing 100049, China
GU Haoran
13 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
LI Zhiyu
1 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
  University of Chinese Academy of Sciences, Beijing 100049, China
YAO Qian
13 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
WANG Shunzhi
1 * ,
- Affiliation：
  State Key Laboratory of Spatial Datum, College of Remote Sensing and Geoinformatics Engineering, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou 450046, China
WANG Jiayao
2 *
Vol. 29, Issue 6, Pages: 1788-1803(2025)
DOI：10.11834/jrs.20255214
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Application and challenge of machine learning in the satellite remote sensing of atmospheric aerosols

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Application and challenge of machine learning in the satellite remote sensing of atmospheric aerosols

LI Zhengqiang

JI Zhe

ZHANG Zihan

YAN Xiaoxi

GU Haoran

LI Zhiyu

YAO Qian

WANG Shunzhi

WANG Jiayao

DOI：10.11834/jrs.20255214

AI Introduction

Full Text(HTML)

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