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http://hdl.handle.net/10397/107500
Title: | A high-quality global elevation control point dataset from ICESat-2 altimeter data | Authors: | Li, B Xie, H Liu, S Xi, Y Liu, C Xu, Y Ye, Z Hong, Z Weng, Q Sun, Y Xu, Q Tong, X |
Issue Date: | 2024 | Source: | International journal of digital earth, 2024, v. 17, no. 1, 2361724 | Abstract: | The ICESat-2 satellite equipped with a new photon-counting laser altimeter has received much attention as a source of accurate elevation observations. However, in this research field, there is a lack of an open-source high-accuracy elevation control point dataset with the specific quality requirements at a global scale. To this end, using ICESat-2 altimeter data as the main data source, we constructed and organized a dataset as a useful supplement for this research field. The dataset was generated by a methodology based on detection environment evaluation, photon spatial analysis, and the redundant observation statistics. The dataset includes more than 600 million elevation control points and covers the global land areas, except for Greenland and Antarctica. The dataset has been validated by multiple digital elevation models (DEMs) from around the world (sourced from airborne LiDAR data). The results show that the dataset has high-accuracy elevation control points. The overall root-mean-square error (RMSE) of the original elevations of ICESat-2 is about 1.384–4.820 m, but the overall RMSE of the elevation control points in the new dataset is about 0.279–0.642 m. Moreover, the results obtained in this study show that the dataset is suitable for application within high vegetation cover areas. | Keywords: | ATL08 Elevation control points ICESat-2 Photon counting |
Publisher: | Taylor & Francis | Journal: | International journal of digital earth | ISSN: | 1753-8947 | EISSN: | 1753-8955 | DOI: | 10.1080/17538947.2024.2361724 | Rights: | © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. The following publication Li, B., Xie, H., Liu, S., Xi, Y., Liu, C., Xu, Y., … Tong, X. (2024). A high-quality global elevation control point dataset from ICESat-2 altimeter data. International Journal of Digital Earth, 17(1) 2361724 is available at https://doi.org/10.1080/17538947.2024.2361724. |
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