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青藏高原区域不同地表类型对应后向散射系数的时变分析

陈晓东,  郭金运,  孙明智,  朱广彬,  常晓涛

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陈晓东, 郭金运, 孙明智, 朱广彬, 常晓涛. 青藏高原区域不同地表类型对应后向散射系数的时变分析[J]. 武汉大学学报 ● 信息科学版. doi: 10.13203/j.whugis20200688
引用本文: 陈晓东, 郭金运, 孙明智, 朱广彬, 常晓涛. 青藏高原区域不同地表类型对应后向散射系数的时变分析[J]. 武汉大学学报 ● 信息科学版. doi: 10.13203/j.whugis20200688
shu
CHEN Xiaodong, GUO Jinyun, SUN Mingzhi, ZHU Guangbin, CHANG Xiaotao. Time-varying analysis of backscatter coefficient corresponding to different surface types in the Tibetan Plateau[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200688
Citation: CHEN Xiaodong, GUO Jinyun, SUN Mingzhi, ZHU Guangbin, CHANG Xiaotao. Time-varying analysis of backscatter coefficient corresponding to different surface types in the Tibetan Plateau[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200688
shu

青藏高原区域不同地表类型对应后向散射系数的时变分析

doi: 10.13203/j.whugis20200688

  • 1 山东科技大学测绘科学与工程学院, 山东 青岛, 266590;

  • 2 自然资源部国土卫星遥感应用中心, 北京 100048

基金项目: 

国家自然科学基金（41774001）；国家测绘自主可控专项（816-517）。

详细信息
    作者简介:

    陈晓东,硕士生,主要从事卫星测高相关研究。ralking@163.com

  • 中图分类号: P237

Time-varying analysis of backscatter coefficient corresponding to different surface types in the Tibetan Plateau

  • 1 College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China;

  • 2 Land Satellite Remote Sensing Application Center of MNR, Beijing 100048, China

Funds: 

The National Natural Science Foundation of China(41774001)

  • 摘要: 后向散射系数（sigma0）是卫星雷达高度计的观测量之一，在地表状态监测、积雪冰层厚度反演、卫星测高定标与验证等过程中广泛应用。根据Jason-2测高卫星Geophysical Data Record（GDR）数据分离出青藏高原Ku波段的sigma0数据，以GlobeLand30 2020版本地表数据作为分类基础，通过经纬度数据对sigma0赋予地表属性，获取不同种类地表特征对应sigma0数据在2008年12月到2016年9月期间的时变序列，利用奇异谱分析原理提取识别出不同地表属性中sigma0的趋势和周期项信息，并对周期项结果进行快速傅里叶变换分析。结果表明：水体、湿地区域对应的sigma0数值较高，冰川和永久积雪区域对应的sigma0数值较低。整个区域sigma0存在多种周期信号，人造地表、裸地、灌木地区域类型的地表性质稳定，区域对应的sigma0周期不显著。其余区域sigma0的变化具有显著的周年和半年周期，且变化振幅不一致，各个区域对应的sigma0趋势变化有所差异。
    Abstract: Backscatter coefficient (sigma0) is one of observations of satellite radar altimetry. It is related to the physical and geometric characteristics of land surface under the influence of global/regional climate change. Sigma0 can be used for monitoring surface features under climate change, data calibration and verification of satellite altimeters, inversion of surface features (e.g. soil moisture, snow thickness, etc.) and other fields. GlobeLand30, as the global land cover information with the resolution of 30 m, was produced in China. The Geophysical Data Record (GDR) data of Jason-2 was used to extract and isolate the Ku-band sigma0 data of the Tibetan Plateau (TP). By using the GlobeLand30 2020 version as the basis for surface classification, the latitude and longitude paired sigma0 data give surface attributes, and then we obtain the time-varying sequence of sigma0 under different types of surface features. The singular spectrum analysis (SSA) interpolation is used to fill in missing data. The sigma0 time change trend and period information of the entire TP and different surface attributes are extracted and identified with SSA, and the period results are analyzed by FFT. From the analysis of sigma0 under different surface attributes, its time-varying sequence has different characteristic results:(1) The sigma0 is higher in waters and wetland areas, and the sigma0 is lower in permanent snow and ice areas. (2) There are stable annual, semi-annual and quarterly signals for sigma0 in the TP. The surface properties of the artificial surfaces, bare land, and shrubland area are stable, and the annual sigma0 change is not significant. The changes of sigma0 in other regions have significant annual and semi-annual periods. The amplitude of the semi-annual and quarterly signal is varies with the nature of the surface. (3) The sigma0 changes in the TP show an increasing trend. It is caused by climate change on the TP and wet surface. The sigma0 data of forest, grassland, and shrubland have the increasing trend, the sigma0 of wetland has a trend of decreasing. Besides geophysics and ocean dynamics research, satellite radar altimeter is also feasible for monitoring land environment. The sigma0 obtained by altimeter is closely related to ground properties and climate change. The effects of different geographical attributes on sigma0 in the TP show different time-varying status:(1) the change cycle of sigma0 is mainly annual cycle, and different land surface states have different periodic attributes, which is related to the response state of different land surface to climate change; (2) The sigma0 value in water and wetland is significantly higher than other areas, which may be caused by the difference of surface complex dielectric constant.
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  • 收稿日期:  2020-12-21
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青藏高原区域不同地表类型对应后向散射系数的时变分析

doi: 10.13203/j.whugis20200688
  • 1 山东科技大学测绘科学与工程学院, 山东 青岛, 266590;
  • 2 自然资源部国土卫星遥感应用中心, 北京 100048
    • 基金项目:

    国家自然科学基金（41774001）；国家测绘自主可控专项（816-517）。

    作者简介:

    陈晓东,硕士生,主要从事卫星测高相关研究。ralking@163.com

  • 收稿日期: 2020-12-21
  • 网络出版日期: 2021-05-07

  • 中图分类号: P237

摘要: 后向散射系数（sigma0）是卫星雷达高度计的观测量之一，在地表状态监测、积雪冰层厚度反演、卫星测高定标与验证等过程中广泛应用。根据Jason-2测高卫星Geophysical Data Record（GDR）数据分离出青藏高原Ku波段的sigma0数据，以GlobeLand30 2020版本地表数据作为分类基础，通过经纬度数据对sigma0赋予地表属性，获取不同种类地表特征对应sigma0数据在2008年12月到2016年9月期间的时变序列，利用奇异谱分析原理提取识别出不同地表属性中sigma0的趋势和周期项信息，并对周期项结果进行快速傅里叶变换分析。结果表明：水体、湿地区域对应的sigma0数值较高，冰川和永久积雪区域对应的sigma0数值较低。整个区域sigma0存在多种周期信号，人造地表、裸地、灌木地区域类型的地表性质稳定，区域对应的sigma0周期不显著。其余区域sigma0的变化具有显著的周年和半年周期，且变化振幅不一致，各个区域对应的sigma0趋势变化有所差异。

English Abstract

陈晓东, 郭金运, 孙明智, 朱广彬, 常晓涛. 青藏高原区域不同地表类型对应后向散射系数的时变分析[J]. 武汉大学学报 ● 信息科学版. doi: 10.13203/j.whugis20200688
引用本文: 陈晓东, 郭金运, 孙明智, 朱广彬, 常晓涛. 青藏高原区域不同地表类型对应后向散射系数的时变分析[J]. 武汉大学学报 ● 信息科学版. doi: 10.13203/j.whugis20200688
shu
CHEN Xiaodong, GUO Jinyun, SUN Mingzhi, ZHU Guangbin, CHANG Xiaotao. Time-varying analysis of backscatter coefficient corresponding to different surface types in the Tibetan Plateau[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200688
Citation: CHEN Xiaodong, GUO Jinyun, SUN Mingzhi, ZHU Guangbin, CHANG Xiaotao. Time-varying analysis of backscatter coefficient corresponding to different surface types in the Tibetan Plateau[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200688
shu

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