地理科学进展 ›› 2017, Vol. 36 ›› Issue (5): 597-609.doi: 10.18306/dlkxjz.2017.05.007

• 研究论文 • 上一篇    下一篇

基于MODIS的青藏高原湖泊透明度遥感反演

刘翀1,3(), 朱立平1,2,3,*(), 王君波1,2, 乔宝晋1,3, 鞠建廷1, 黄磊1,3   

  1. 1. 中国科学院青藏高原研究所 青藏高原地表过程与环境变化实验室,北京 100101
    2. 中国科学院青藏高原地球科学卓越创新中心,北京 100101
    3. 中国科学院大学,北京100049
  • 收稿日期:2017-04-01 出版日期:2017-05-20 发布日期:2017-05-20
  • 通讯作者: 朱立平 E-mail:liuchong@itpcas.ac.cn;lpzhu@itpcas.ac.cn
  • 作者简介:

    作者简介:刘翀(1992-),男,江西南昌人,硕士研究生,研究方向为湖泊环境遥感应用,E-mail:liuchong@itpcas.ac.cn

  • 基金资助:
    科技部基础性科技工作重点项目(2012FY111400);中国科学院战略性科技先导专项(XDB03030000);中国科学院国际合作重点项目(131C11KYSB20160061)

Remote sensing-based estimation of lake water clarity on the Tibetan Plateau

Chong LIU1,3(), Liping ZHU1,2,3,*(), Junbo WANG1,2, Baojin QIAO1,3, Jianting JU1, Lei HUANG1,3   

  1. 1. Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, CAS, Beijing 100101, China
    2. CAS Center for Excellence in Tibetan Plateau Earth System, Beijing 100101, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2017-04-01 Online:2017-05-20 Published:2017-05-20
  • Contact: Liping ZHU E-mail:liuchong@itpcas.ac.cn;lpzhu@itpcas.ac.cn
  • Supported by:
    中国科学院国际合作重点项目(131C11KYSB20160061) [Foundation:National Basic Research Program of Ministry of Science and Technology (MOST),China, No.2012FY111400;Strategic Priority Research Program of CAS, No.XDB03030000;Key Projects of International Cooperation of CAS, No.131C11KYSB20160061

摘要:

湖泊透明度是湖泊水体性质的一个重要参数,是湖泊浮游生物和进入湖泊的有机和无机颗粒溶解程度的综合反映,对湖泊生态环境研究具有重要的科学及实践意义。遥感影像是获取面积广、时间长的湖泊透明度的重要手段,但由于实测数据缺乏,目前对青藏高原地区湖泊透明度的遥感反演研究相对不足。本文基于青藏高原地区24个湖泊实测透明度SD(Secchi Depth)值和相应的MODIS遥感影像,建立了该地区湖泊水体透明度SD值MODIS遥感反演模型。结果表明:基于MODIS绿色波段B4的单波段幂函数模型在该地区反演效果最好,精度较高(R2=0.91, N=24),并具有较好的稳定性。以当惹雍错为例,选用该模型反演得到湖泊透明度的时间变化序列,发现该湖存在明显的季节波动和较为明显的年际变化。初步分析得出,降水/融水季节的湖泊透明度与湖泊所在流域的降水率具有密切的关系。本文结果表明,利用遥感手段能够有效地开展青藏高原地区湖泊透明度的反演,可为进一步深入研究该地区湖泊透明度及其影响要素奠定基础。

关键词: 青藏高原, 湖泊, 遥感, MODIS, 透明度, SD, 当惹雍错

Abstract:

:Lake water clarity is an important parameter of lake water property, which is an integrated response of lake plankton and organic and inorganic solutions, and has significant scientific and practical implications for lake ecological condition research. Remote sensing is a key method for obtaining lake clarity in wide areas and within long time spans. On the Tibetan Plateau, there are more than 389 lakes with area greater than 10 km2, making the Plateau an ideal region for environmental and climate change research. However, study on the estimation of lake water clarity on the Tibetan Plateau by satellite data is insufficient at present due to the paucity of in situ lake water clarity measurement data. In this study, retrieval models of lake water clarity were established based on the in situ water clarity measurements of 24 lakes distributed in different areas on the Tibetan Plateau and the corresponding MODIS imageries. Statistical methods including linear, exponential, power function, and logarithm regressions were used to build relationships between lake water clarity and the reflectance of MODIS bands on the Tibetan Plateau. The results show that power function model with MODIS green band B4 as single independent variable is the best model for estimating lake water clarity (SD value) on the Plateau (R2=0.91, N=24). The stability of the model was also tested based on 10 in situ SD data at different times in a single lake. Based on this model, we analyzed the temporal variation of lake water clarity of a typical lake Tangra Yumco as an example. The result demonstrates clear seasonal and inter-annual variations of lake water clarity for this lake. Preliminary analysis indicates that the variation of water clarity in precipitation-meltwater rich season is correlated with precipitation intensity of the basin. Our work proved that the reflectance of remote sensing imageries is valid for estimating lake water clarity on the Tibetan Plateau. This may promote further investigation of lake water clarity and its influencing factors on the Tibetan Plateau.

Key words: Tibetan Plateau, lake, remote sensing, MODIS, clarity, Secchi Depth (SD), Tangra Yumco