Review of cloud polarimetric remote sensing

Review | Views:1676Downloads:3094CSCD:8

Export
Share
Collection
Album

Review of cloud polarimetric remote sensing
- role：First author第一作者
- Affiliation：
  College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241003, China
  Engineering Technology Research Center of Resources Environment and GIS, Wuhu 241003, China
- Email：wangyuyao@ahnu.edu.cn
- Introduction：王宇瑶，研究方向为大气偏振遥感、云偏振特性。E-mail： wangyuyao@ahnu.edu.cn
WANG Yuyao
14 * ,
- role：Corresponding author通信作者
- Affiliation：
  College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241003, China
  Engineering Technology Research Center of Resources Environment and GIS, Wuhu 241003, China
- Email：jinjima@ahnu.edu.cn
- Introduction：麻金继，研究方向为环境参量遥感。E-mail： jinjima@ahnu.edu.cn
MA Jinji
14 * ,
- Affiliation：
  College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241003, China
  Engineering Technology Research Center of Resources Environment and GIS, Wuhu 241003, China
LI Jinghan
14 * ,
- Affiliation：
  Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
HONG Jin
2 * ,
- Affiliation：
  State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
LI Zhengqiang
3 *
Vol. 26, Issue 5, Pages: 852-872(2022)
DOI：10.11834/jrs.20221404
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 7 ) Tabs( 10 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

Cloud detection algorithm based on GF-5 DPC data

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

Satellite-based ANN identification and spatiotemporal evolution analysis of industrial heat sources coupled with temperature characteristics

Tangent height correction and sensitivity studies from SCIAMACHY limb scattering detection

Evaluation of three BRDF models’ performance using spaceborne POLDER snow data

Related Author

Lesi WEI 内蒙古师范大学物理与电子信息学院;中国科学院空天信息创新研究院遥感科学国家重点实验室

Huazhe SHANG 中国科学院空天信息创新研究院遥感科学国家重点实验室

Letu HUSI 中国科学院空天信息创新研究院遥感科学国家重点实验室

Run MA 中国科学院空天信息创新研究院遥感科学国家重点实验室

Dahai HU 内蒙古师范大学物理与电子信息学院

Kefu CHAO 内蒙古师范大学物理与电子信息学院

Fuqi SI 中国科学院安徽光学精密机械研究所

Jiancheng SHI 中国科学院空天信息创新研究院遥感科学国家重点实验室

Related Institution

College of Physics and Electronic Information, Inner Mongolia Normal University

State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences

University of Chinese Academy of Sciences

Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences

State Key Laboratory of Spatial Datum, College of Remote Sensing and Geoinformatics Engineering, Faculty of Geographical Science and Engineering, Henan University