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Title: Analysis of the quality of daily DEM generation with geosynchronous InSAR
Authors: Yang, Z 
Zhang, Q
Ding, X 
Chen, W 
Issue Date: 2020
Source: Engineering, 2020, v. 6, no. 8, p. 913-918
Abstract: Up-to-date digital elevation model (DEM) products are essential in many fields such as hazards mitigation and urban management. Airborne and low-earth-orbit (LEO) space-borne interferometric synthetic aperture radar (InSAR) has been proven to be a valuable tool for DEM generation. However, given the limitations of cost and satellite repeat cycles, it is difficult to generate or update DEMs very frequently (e.g., on a daily basis) for a very large area (e.g., continental scale or greater). Geosynchronous synthetic aperture radar (GEOSAR) satellites fly in geostationary earth orbits, allowing them to observe the same ground area with a very short revisit time (daily or shorter). This offers great potential for the daily DEM generation that is desirable yet thus far impossible with space-borne sensors. In this work, we systematically analyze the quality of daily GEOSAR DEM. The results indicate that the accuracy of a daily GEOSAR DEM is generally much lower than what can be achieved with typical LEO synthetic aperture radar (SAR) sensors; therefore, it is important to develop techniques to mitigate the effects of errors in GEOSAR DEM generation.
Keywords: Accuracy analysis
Daily digital elevation model
Geosynchronous synthetic aperture radar
Interferometric synthetic aperture radar
Publisher: Gaodeng Jiaoyu Chubanshe
Journal: Engineering 
ISSN: 2095-8099
EISSN: 2096-0026
DOI: 10.1016/j.eng.2020.07.003
Rights: ©2020 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
The following publication Yang, Z., Zhang, Q., Ding, X., & Chen, W. (2020). Analysis of the Quality of Daily DEM Generation with Geosynchronous InSAR. Engineering, 6(8), 913-918, is available at https://doi.org/10.1016/j.eng.2020.07.003
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