期刊论文

Zhu, Xiaoxiao;Nie, Sheng

英文

Optics Express

1094-4087

2019

27

26

38168-38179

10.1364/OE.27.038168

National Natural Science Foundation of China (41901289, 41671434); Youth Innovation Promotion Association of the Chinese Academy of Sciences (2019130); the Open Fund Project of HIST Hengyang Base. National Natural Science Foundation of China (41901289, 41671434); Youth Innovation Promotion Association of the Chinese Academy of Sciences (2019130); the Open Fund Project of HIST Hengyang Base. We thank the National Snow & Ice Data Center for providing the ATLAS data and NASA’s Goddard Space Flight Center for providing the airborne LiDAR data used in this study. We also thank the editor and anonymous reviewers for reviewing our paper.

本校为其他机构

Accurate estimation of ground elevation on a large scale is essential and worthwhile in topography, geomorphology, and ecology. The Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) mission, launched in September 2018, offers an opportunity to obtain global elevation data over the earth’s surface. This paper aimed to evaluate the performance of ICESat-2 data for ground elevation retrieval. To fulfill this objective, our study first tested the availability of existing noise removal and ground photon identification algorithms on ICESat-2 data...