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Multi-criteria constraint algorithm for selecting ICESat/GLAS data as elevation control points

  • role： First author第一作者
  • Affiliation：

    School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

    Satellite Surveying and Mapping Application Center, NASG, Beijing 100830, China

  • Email：ligy@sasmac.cn
  • Introduction：李国元(1984—  )，男，博士，研究生，研究方向为激光测高卫星数据处理以及航天摄影测量。E-mail：ligy@sasmac.cn
LI Guoyuan12,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

    Satellite Surveying and Mapping Application Center, NASG, Beijing 100830, China

  • Email：txm@sasmac.cn
  • Introduction：唐新明(1966—    )，男，研究员，研究方向为国产卫星测绘数据处理与应用。E-mail：txm@sasmac.cn
TANG Xinming12*,  
  • Affiliation：

    Satellite Surveying and Mapping Application Center, NASG, Beijing 100830, China

    Beijing SatImage Information Technology Co.,Ltd., Beijing 100130, China

ZHANG Chongyang23,  
  • Affiliation：

    Satellite Surveying and Mapping Application Center, NASG, Beijing 100830, China

GAO Xiaoming2,  
  • Affiliation：

    Satellite Surveying and Mapping Application Center, NASG, Beijing 100830, China

CHEN Jiyi2

Resümee

Satellite laser altimeter has a unique advantage in obtaining the global elevation control points. The Geoscience Laser Altimetry System (GLAS) loaded on the Ice, Clouds, and Land Elevation Satellite(ICESat) has collected numerous high-accuracy terrain elevation points from 2003 to 2009, which can be selected as elevation control points. In this study, an algorithm is proposed to select ICESat/GLAS data as elevation control points based on multi-criteria constraint. The Shuttle Radar Topography Missions-Digital Elevation Model (DEM) data is proposed to initially eliminate the gross error of GLAS points. Then, the parameters regarding laser ranging in the GLA14 product, such as cloud, attitude quality mark, and energy saturation parameters, are introduced to implement coarse selection and to obtain highly reliable GLAS points, which are less influenced by cloud, atmosphere, or reflectivity of the ground. Finally, the waveform characteristic is presented to extract high-accuracy laser points as elevation control points. The experiment is implemented in Tianjin and Hebei, and the algorithm is validated by the DEM reference data. From waveform analysis, the relationship between elevation accuracy of GLAS points and terrain relief can be described in detail. In addition, the selected result in Tianjin experimental region is better than 0.725 m; another result is better than 3.288 m. Moreover, if the criterion is strict, then the elevation accuracy may be improved. Preliminary test results show that the elevation accuracy of laser points is favorable after selection by the multi-criteria constraint method, which can be used as elevation control points for 1∶50000 and 1∶10000 stereo mapping. These conclusions will be valuable for global mapping using domestic satellite without ground control points.

Schlüsselwort

ICESat/GLAS;Multi-criteria constraint;Laser Altimeter Satellite;elevation reference;waveform characteristic

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