Models and Methods | Views:700Downloads:1382CSCD:0
  • Export

  • Collection

  • Album

    • Consistency correction of multi-source satellite-derived lake water color index: A case study of typical lakes on the Tibetan Plateau

    • The color of lake water is an important climate variable in lake ecosystems. In recent years, the Forel Ule index (FUI) based on satellite remote sensing inversion of lake water color has been widely used to indicate the spatiotemporal changes in lake ecology and water quality in large regions. Multi source satellite collaborative observation can significantly improve observation frequency and spatiotemporal coverage, but its inversion consistency problem urgently needs to be solved. This study takes six typical lakes on the Qinghai Tibet Plateau as the research area. Based on Landsat 5/TM, Landsat 7/ETM+, Landsat 8/OLI, and MODIS surface reflectance products, a consistency correction method for multi-source satellite data inversion of lake water color index (FUI) is proposed to correct the differences in chromaticity angle and FUI inversion caused by systematic deviations in satellite spectral response functions and surface reflectance products.
      • role:First author第一作者
      • Affiliation:

        School of Mapping and Geoscience, Liaoning Technical University, Fuxin 123000, China

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      • Email:13722881205@163.com
      • Introduction:谭章茹,研究方向为水色遥感、遥感影像处理。E-mail: 13722881205@163.com

      TAN Zhangru

      12,
      • role:Corresponding author通信作者
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

      • Email:wangsl@radi.ac.cn
      • Introduction:王胜蕾,研究方向为水色遥感、水环境时空变化及对全球变化响应。E-mail: wangsl@radi.ac.cn

      WANG Shenglei

      23 * ,
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

      LI Junsheng

      23,
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

      ZHANG Fangfang

      23,
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      ZHANG Bing

      2
    • Vol. 29, Issue 12, Pages: 3626-3639(2025)  
    • DOI:10.11834/jrs.20255037    

    Scan QR Code

    Scan QR Code

  • Quote

    Translate The Full Text

  •  
  •  
  • AI Introduction

  • Full Text(HTML)

  • Figs( 32 ) Tabs( 4 )

  • References

  • Publication Info

  • Metrics

Alert me when the article has been cited
Submit

Related Author

Li Junsheng 中国科学院空天信息创新研究院 数字地球重点实验室;可持续发展大数据国际研究中心
Zhang Fangfang 中国科学院空天信息创新研究院 数字地球重点实验室;可持续发展大数据国际研究中心
Zhang Bing 中国科学院空天信息创新研究院 数字地球重点实验室
Tan Zhangru 辽宁工程技术大学 测绘与地理科学学院;中国科学院空天信息创新研究院 数字地球重点实验室
Wang Shenglei 中国科学院空天信息创新研究院 数字地球重点实验室;可持续发展大数据国际研究中心

Related Institution

No data