Abstract
Based on Geoscience Laser Altimeter System onboard the Ice, Cloud, and land Elevation Satellite (ICESat/GLAS) data, this paper analyzes the vertical accuracy of four kinds of digital elevation model (DEM)dataset in Hubei Province, and discusses the influence of the geographical factors (slope, aspect, geomorphic and land-use types) on DEM data accuracy. The results show that: (1) Among the four kinds of DEM data in Hubei Province, the ALOS World 3D -30 m (AW3D30) offers the highest data accuracy; (2) High slope and vegetation coverage will affect DEM data accuracy, and AW3D30 data accuracy is the least affected by this; (3) No obvious relationship has been found between data accuracy and aspect. In addition, using ICESat/GLAS data as reference, this paper also attempts to improve the vertical accuracy of DEM by employing five machine learning based methods, the results show that each DEM dataset obviously outperform themselves by using the models selected in this paper.
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Acknowledgements
The authors would like to appreciate the supports for this study from the Natural Science Foundation of Hubei Province (no. 2020CFB134) and the Fundamental Research Funds for the Central Universities, Zhongnan University of Economics and Law (no. 2722020PY041).
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Hu Mengjie: Analyzed the data and prepared the paper.
Shen Ji: Participated to collect the materials related to the experiment.
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Hu, M., Ji, S. Accuracy evaluation and improvement of common DEM in Hubei Region based on ICESat/GLAS data. Earth Sci Inform 15, 221–231 (2022). https://doi.org/10.1007/s12145-021-00721-3
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DOI: https://doi.org/10.1007/s12145-021-00721-3