Remote Sensing Applications | Views:833Downloads:1100CSCD:0
  • Export

  • Collection

  • Album

    • Comparative analysis of long-term (2005—2016) spatiotemporal variations in high-level tropospheric formaldehyde (HCHO) in Guangdong and Jiangsu Provinces in China

      • role:First author第一作者
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      • Email:soonyenju@foxmail.com
      • Introduction:朱松岩,1993年生,男,硕士研究生,研究方向为大气痕量气体反演、污染治理。E-mail:soonyenju@foxmail.com

      Songyan ZHU

      13,
      • role:Corresponding author通信作者
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China

      • Email:lixy01@radi.ac.cn
      • Introduction:李小英,1975年生,女,副研究员,研究方向为中高空大气临边探测。E-mail:lixy01@radi.ac.cn

      Xiaoying LI

      1 * ,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China

      Tianhai CHENG

      1,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China

        State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China

      Chao YU

      12,
      • Affiliation:

        Beijing Municipal Environmental Monitoring Center, Beijing 100048, China

      Xinhui WANG

      4,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      Jing MIAO

      13,
      • Affiliation:

        Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science &Technology, Nanjing 210044, China

      Can HOU

      5
    • Vol. 23, Issue 1, Pages: 137-154(2019)  

      Accepted:20 April 2018

    • DOI:10.11834/jrs.20197528    

    Scan QR Code

    Scan QR Code

  • Quote

    Translate The Full Text

  •  
  •  
  • Full Text(HTML)

  • Figs( 8 ) Tabs( 0 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >
Alert me when the article has been cited
Submit

Related Author

CHEN Liangfu
LIN Jun
YU Chao
WANG Yapeng
TAO Jinhua
CHENG Liangxiao
WANG Ning 中国科学院空天信息创新研究院 中国科学院定量遥感信息技术重点实验室
LIU Yaokai 中国科学院空天信息创新研究院 中国科学院定量遥感信息技术重点实验室

Related Institution

Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences
Inner Mongolia North Heavy Industry Group Co., Ltd
College of Geography and Environmental Science, Henan University
Henan Technology Innovation Center of Spatio-Temporal Big Data, Henan University