A method is presented for combining GPS and GLAS data to produce a high-quality DEM. First
the GLAS data was transformed so that it could be combined with GPS data to produce a DEM. An algorithm was selected to locate GLAS points and the GPS points covered by GLAS footprints were highlighted. Comparison of the two types of data indicates that the maximum and minimum mean height differences are 1.118 m and 0.997 m
respectively
with a stable standard of about 5—6 cm. The maximum and minimum values became 0.405 m and 0.284 m after rectification by ellipsoid transformation. Detailed components of the error are also discussed. Next
sparse GPS data were extracted as feature points along the GPS measurement profile using a revised angle limitation method. Finally
a DEM was produced for the Dome-A using processed GPS data and transformed GLAS data. 1199 of the GPS points and 53 of the GLAS footprints were used to validate the DEM
with 5 cm and 12 cm as the mean and absolute maximum
respectively
of residuals. Additionally
three other DEMs were produced using original GPS data
original GPS data and GLAS data
and processed GPS data. The DEM produced with processed GPS data exhibited better accuracy than that produced from original GPS data according to comparison of contours and residuals of check points
Yushuo LIU 中国科学院西北生态环境资源研究院 冰冻圈科学国家重点实验室 祁连山冰冻圈与生态环境综合观测研究站
相关机构
Planetary Remote Sensing Laboratory, Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University
School of Earth and Space Sciences, Peking University
Qilian Observation and research Station of Cryosphere and Ecologic Environment State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences
State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences
State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences