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Authors: Fan Mo 1 ; Junfeng Xie 1 and Yuxuan Liu 2

Affiliations: 1 Satellite Surveying and Mapping Application Center and NASG, China ; 2 University of Wuhan, China

Keyword(s): Digital Surface Model, AW3D30, ALOS DSM, Elevation Accuracy Evaluation, National Control Point Image Database.

Abstract: The AW3D30 dataset is a publically available, high-accuracy digital surface model; the model’s cited nominal elevation accuracy is 5 m (1σ). In order to verify the accuracy of AW3D30, we selected China as test area, and used field measurement points in the national control point image database as control data. The elevation accuracy of the field measurement points in the national control point image database is better than 1 m. The results show that the accuracy of the AW3D30 satisfies the requirement of 5 m nominal accuracy, and elevation accuracy reached 2 m (1σ). Accuracy is related to both terrain and slope. Accuracy is better in flat areas than in areas of complex terrain, and the eastern region of China is characterized by better accuracy than the western region.

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Paper citation in several formats:
Mo, F., Xie, J. and Liu, Y. (2018). Evaluation of AW3D30 Elevation Accuracy in China. In Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-294-3; ISSN 2184-500X, SciTePress, pages 180-186. DOI: 10.5220/0006674401800186

@conference{gistam18,
author={Fan Mo and Junfeng Xie and Yuxuan Liu},
title={Evaluation of AW3D30 Elevation Accuracy in China},
booktitle={Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2018},
pages={180-186},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006674401800186},
isbn={978-989-758-294-3},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Evaluation of AW3D30 Elevation Accuracy in China
SN - 978-989-758-294-3
IS - 2184-500X
AU - Mo, F.
AU - Xie, J.
AU - Liu, Y.
PY - 2018
SP - 180
EP - 186
DO - 10.5220/0006674401800186
PB - SciTePress

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