Skip to main content

Advertisement

SpringerLink
Log in

Using UAV imagery to generate DEMs of the intertidal zone

  • Published:
Journal of Coastal Conservation Aims and scope Submit manuscript

Abstract

With the rapid development of UAV (Unmanned Aerial Vehicle) and photography technology, it is now possible to conduct aerial photogrammetry at low tide in the intertidal zone using UAV to generate high-resolution DEM(Digital Elevation Model), which can help interpret intertidal topographic relief and micro-geomorphic features. In this study, the intertidal zone near Heishijiao Park in Dalian City(121.554 E,38.869 N) was selected to investigate the DEM generation method in terms of data preparation, production process, and accuracy control. Low-altitude photogrammetry was carried out using a DJI Phantom 4 Pro UAV to explore the operation method and processing process of intertidal DEM generation, and its planimetric accuracy and elevation accuracy were checked after internal data processing. The applicability and accuracy reliability of the DEM model generated by this method were evaluated in conjunction with relevant measurement specifications. The results showed that, with the reasonable deployment of image control points, the medium error of the DEM plane is 0.190 m and the medium error of elevation is 0.174 m. The accuracy can meet the requirements of 1:500 large-scale mapping. The acquisition of a high-precision DEM enables accurate processing of the intertidal zone, allowing for digital terrain analysis of the area.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Dai W, Tang G, Hu G, Yang X, Xiong L, Wang L (2021) Modelling sediment transport in space in a watershed based on topographic change detection by UAV survey. Progress in Geography 40(09):1570–1580. https://doi.org/10.18306/dlkxjz.2021.09.011

    Article  Google Scholar 

  • Du J, Liu K, Shi Y, Yang Y, Dong J (2021) Rapid manufacturing method of coast high-precision DOM and DSM based on light UAV. Geomatics Sci Technol 9(04):125–131. https://doi.org/10.12677/gst.2021.94015

    Article  Google Scholar 

  • Fang D, Liu S, Zhang X (2019) Application of low altitude UAV remote sensing in intertidal zone monitoring of islands. Beijing Surveying and Mapping 33(01):71–75. https://doi.org/10.19580/j.cnki.1007-3000.2019.01.016

    Article  Google Scholar 

  • Fu X, Deng Y, Zheng W, Zhou S, Zhou J (2021) Ground point extraction and DEM generation of traditional village landing surface points based on dense matching point cloud of UAV image: taking Dehang village in western Hunan as an example. Bull Surv Map 12:1–5. https://doi.org/10.13474/j.cnki.11-2246.2021.362

    Article  Google Scholar 

  • General Administration of Quality Supervision (2008a) Inspection and Quarantine of the people’s Republic of China, Standardization Administration of the people’s Republic of China. GB17378.7-2007 the specification for marine monitoring-Part7: ecological survey for offshore pollution and biological monitoring. Standards Press of China, Beijing, pp 12–17

    Google Scholar 

  • General Administration of Quality Supervision (2008b) Inspection and Quarantine of the People’s Republic of China, Standardization administration of the people’s Republic of China. GB/T12763.6-2007 specification for oceanographic survey-Part6: marine biological survey. Standards Press of China, Beijing, pp 41–44

    Google Scholar 

  • General Administration of Quality Supervision (2018) Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China. GB/T18190-2017 Oceanological terminology-marine geology. Standards Press of China, Beijing, pp 1–2

    Google Scholar 

  • Hu R, Zhang M, Liu P (2011) DEM for high-resolution and low altitude images of UAV. Sci Surveying Mapp 36(04):201–202. https://doi.org/10.16251/j.cnki.1009-2307.2011.04.082

    Article  Google Scholar 

  • Hu Y, He X, Xu H, Zhou B, Wang L (2021) Application of UAV based on RTK technology in intertidal zone topographic survey. Geospatial Inform 19(04):41–43. https://doi.org/10.3969/j.issn.1672-4623.2021.04.010

    Article  Google Scholar 

  • Li D, Han L (2020) Research and application of tide gauge and GPS for measuring water surface elevation. Geomatics & Spatial Information Technology 43(05):147–149. https://doi.org/CNKI:SUN:DBCH 0.2020-05-041

    Google Scholar 

  • Li D, Li M (2014) Research advance and application prospect of unmanned aerial vehicle remote sensing system. Geomatics and Information Science of Wuhan University 39(05):505–513. https://doi.org/10.13203/j.whugis20140045

    Article  Google Scholar 

  • Li Y, Sun C (2019) Geodetic datum conversion methods and its applications in digital elevation model. Beijing Surveying and Mapping 35(02):217–221. https://doi.org/10.19580/j.cnki.1007-3000.2021.02.018

    Article  Google Scholar 

  • Li Y, Fu J, Li Y, Yu X, Wang A, Dong J (2016) Research and application of seabed surface area based on TIN data model. Adv Mar Sci 34(03):430–436. https://doi.org/10.3969/j.issn.1671-6647.2016.03.013

  • Li Y, Li Y, Fu J, Yu X, Zou C (2019) Niche characteristics of macrobenthic community in the intertidal zone on the west coast of Liaodong Bay. Mar Sci (Beijing China) 43(03):32–39. https://doi.org/10.11759/hykx20171214001

    Article  Google Scholar 

  • Ministry of Natural Resources of the People’s Repulic of China (2021) CH/T3005-2021 specifications for low-altitude digital aerial photography. Standards Press of China, Beijing, pp 5–7

    Google Scholar 

  • Muji AL, Tahar KN (2017) Assessment of digital elevation model (DEM) using onboard GPS and ground control points in UAV image processing. Intelligent Systems Conference

  • Rusli N, Majid MR, Fakihin N, Fadilah NF (2019) Accuracy assessment of DEM from UAV and TanDEM-X imagery. 2019 IEEE 15th International Colloquium. on Signal Processing & Its Applications (CSPA). IEEE

  • Sammartano G, Spanò A (2016) DEM generation based on UAV photogrammetry data in critical areas. International Conference on Geographical Information Systems Theory

  • Tang Y, Liu W, Ren S (2013) Tideland height measurement based on UAV remote sensing and tidal observation. Remote Sens Land Resour 25(02):42–46. https://doi.org/10.6046/gtzyyg.2013.02.08

    Article  Google Scholar 

  • Tian C, Chen J, Li N, Guo Y (2017) Rapid construction of high-precision DSM using UAV-free image control. Bull Surv Map 08:158–160. https://doi.org/CNKI:SUN:CHTB 0.2017-08-038

    Google Scholar 

  • Wang J, Zhao M, Yang C, Fang Y (2022) A DEM construction method for urban roads considering morphological characteristics based on UAV point cloud. Geogr Geo-information Sci 38(02):10–16. https://doi.org/10.3969/j.issn.1672-0504.2022.02.002

    Article  Google Scholar 

  • Xi G, Xing Z, Qu H, Li P, Li S (2013) DEM data processing and elevation transition based on airborne LiDAR: a case study of coastal zone in Shanghai. Bull Surv Map 09:59–61. https://doi.org/CNKI:SUN:CHTB 0.2013-09-019

    Google Scholar 

  • Xi W, Shi Z, Li D (2017) Steep slope DEM model construction based on the unmanned aerial vehicle (UAV) images. Sains Malaysiana 46(11):2119–2124. https://doi.org/10.17576/jsm-2017-4611-12

    Article  Google Scholar 

  • Xue K (2020) Research on fine DEM generation method of loess landform area based on UAV. Dissertation, Nanjing Normal University

  • Zhang S (2019) A fast extraction algorithm for surface peaks of DEM derived from UAV aerial photography. Western Resour 2:146–148. https://doi.org/10.16631/j.cnki.cn15-1331/p.2019.02.067

    Article  Google Scholar 

  • Zhao X, Sun J, Wang Y, Liu C, Zeng D, Yuan H, Yan C (2019) A study on feasibility of UAV low altitude photogrammetry for large scale topographic mapping in mine area. Geomatics World 26(03):118–121. https://doi.org/CNKI:SUN:CHRK.0.2019-03-023

    Google Scholar 

  • Zhu J, Ding Y, Chen P, Wang X, Guo B, Xiao X, Niu K (2016) Influence of control points’ layout on aero-triangulation accuracy for UAV images. Sci Surveying Mapp 41(05):116–120. https://doi.org/10.16251/j.cnki.1009-2307.2016.05.025

    Article  Google Scholar 

  • Zhu L, Tian Y, Wang W, Mao C (2017) Rapid earthwork calculation method supported by UAV-DEM. Bull Surv Map 06:122–124. https://doi.org/10.13474/j.cnki.11-2246.2017.0204

    Article  Google Scholar 

Download references

Acknowledgements

We would like to express our respect and gratitude to all the reviewers and editors for their valuable comments, which have substantially improved the manuscript.

Funding

This work was supported by Liaoning Province Coastline Repair and Survey Project(008006019).

Author information

Authors and Affiliations

  1. Liaoning Ocean and Fisheries Science Research Institute, Heishijiao Street 50, Dalian, 116023, China

    Yiping Li, Yingchao Wu, Dongyang Zhao, Yulong Li, Guangran You, Zhongren Kong, Xiaohui Xi & Liyuan Lei

  2. Dalian Key Laboratory for the Development and Protection of Sea Island, Dalian, 116023, China

    Yiping Li, Yingchao Wu, Dongyang Zhao, Guangran You, Zhongren Kong, Xiaohui Xi & Liyuan Lei

  3. Dalian Ocean University, Dalian, 116023, China

    Zhihui Sun

  4. Dalian Ecological Environment Affairs Service Center, Dalian, 116023, China

    Chuanyang Yu

Authors
  1. Yiping Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yingchao Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhihui Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dongyang Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chuanyang Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yulong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Guangran You
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Zhongren Kong
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Xiaohui Xi
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Liyuan Lei
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yingchao Wu.

Ethics declarations

Competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

CRediT authorship contribution

Yiping Li, Yingchao Wu, Zhihui Sun, Dongyang Zhao, Chuanyang Yu, Yulong Li, Guangran You, Zhongren Kong, Xiaohui Xi and Liyuan Lei participated in the field work. Yiping Li and Yingchao Wu designed the study and wrote the manuscript. All authors contributed substantial feedback during manuscript preparation.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y., Wu, Y., Sun, Z. et al. Using UAV imagery to generate DEMs of the intertidal zone. J Coast Conserv 27, 23 (2023). https://doi.org/10.1007/s11852-023-00951-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11852-023-00951-1

Keywords

Search

Navigation