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May 9, 2024
Acquisition of Mountain DEMs Using D-InSAR for UAV Aerial Survey Route Planning
Authors: Qingsong Du [email protected], Guoyu Li [email protected], Dun Chen [email protected], Shunshun Qi [email protected], and Chunqing Li [email protected]Author Affiliations
Publication: Cold Regions Engineering 2024: Sustainable and Resilient Engineering Solutions for Changing Cold Regions
ABSTRACT
Utilizing Sentinel-1 single look complex (SLC) products as the initial image, we employ the differential interferometric synthetic aperture radar (D-InSAR) technique to derive the most up-to-date digital elevation model (DEM) dataset of the mountainous region, located in Tianshan Mountain and Zheduoshan Mountain, China. This approach can minimize the preliminary scanning workload due to limited knowledge of the surveyed area, breaking through the limitations of conventional drone power sources, and thereby enhancing the efficiency of unmanned aerial vehicle (UAV) aerial surveys in the field. Here, we present a demonstrative experiment showcasing the method’s feasibility.
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REFERENCES
Braun, A. (2021). “Retrieval of digital elevation models from Sentinel-1 radar data – open applications, techniques, and limitations.” Open Geosciences, 13(1), 532-569.
Du, Q.S., Li, G.Y., Zhou, Y., et al. (2021a). “Deformation Monitoring in an Alpine Mining Area in the Tianshan Mountains Based on SBAS-InSAR Technology.” Advances in Materials Science and Engineering, 2021:9988017.
Du, Q.S., Li, G.Y., et al. (2021b). “Acquiring high-precision DEM in high altitude and cold area using InSAR technology.” Bulletin of Surveying and Mapping, 2021(03):44-49.
Du, Q.S., Li, G.Y., Li, J.M., and Zhou, Y. (2020). “Research on the River Extraction Based on the DEM Data in the Central West Tianshan Mountains.” China Rural Water and Hydropower, 2020(10):29-33+40.
Hanssen, R.F. (2001). “Radar interferometry: data interpretation and error analysis.” New York: Kluwer Academic Publishers.
Yang, Z.F., Zhang, Q.J., Ding, X.L., et al. (2020). “Analysis of the Quality of Daily DEM Generation with Geosynchronous InSAR.” Engineering, 6(8):913-918.
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Published online: May 9, 2024
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State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China; Da Xing’anling Observation and Research Station of Frozen-Ground Engineering and Environment, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Jagdaqi, China. Email: [email protected]
State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China; Da Xing’anling Observation and Research Station of Frozen-Ground Engineering and Environment, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Jagdaqi, China (corresponding author). Email: [email protected]
State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China; Da Xing’anling Observation and Research Station of Frozen-Ground Engineering and Environment, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Jagdaqi, China. Email: [email protected]
State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China; Da Xing’anling Observation and Research Station of Frozen-Ground Engineering and Environment, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Jagdaqi, China. Email: [email protected]
State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China; Da Xing’anling Observation and Research Station of Frozen-Ground Engineering and Environment, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Jagdaqi, China. Email: [email protected]
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