Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Data Acquisition for Integrated Coastal Zone Management and Planning in a Climate Change Perspective

  • Conference paper
  • First Online:
Electronic Government and the Information Systems Perspective (EGOVIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12394))

  • 756 Accesses

Abstract

The coastal zones are characterised with high populations densities and sensitive ecosystems which requires efficient planning and management. The ongoing climate change will make this task more challenging with sea level rise and increased storminess. Digital governance is an efficient instrument to cope with climate change in the coastal zone but requires up-to-date and high-quality information. The current research has aimed at providing an overview of the currently available data sources, gaps in data availability, and new approaches to data collection in a very dynamic coastal zone.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://msdi.dk/kort/.

  2. 2.

    http://www.kortal.dk.

  3. 3.

    https://www.copernicus.eu/en/how/how-access-data.

References

  1. European Environment Agency: Balancing the future of Europe’s coasts – knowledge base for integrated management. EEA Report, No. 12/2013 (2013)

    Google Scholar 

  2. Feser, F., Barcikowska, M., Krueger, O., Schenk, F., Weisse, R., Xia, L.: Storminess over the North Atlantic and North-western Europe – a review. Q. J. Roy. Meteorol. Soc. 14, 350–382 (2014). https://doi.org/10.1002/qj.2364

    Article  Google Scholar 

  3. Ministry of Environment and Food of Denmark: Coastal Analysis, p. 2016. Ministry of Environment and Food of Denmark, Copenhagen (2016)

    Google Scholar 

  4. United Nations: Agenda 21. United Nations Conference on Environment & Development, Rio de Janeiro, Brazil, 3–14 June 1992. United Nations Sustainable Development (1992)

    Google Scholar 

  5. European Commission: Recommendation from the European Parliament, The Council, of 30 May 2002 concerning the Implementation of Integrated Coastal Zone Management in Europe. Official Journal of the European Communities, L 158/24 (2002)

    Google Scholar 

  6. Rajabifard, A., Feeney, M.-E., Williamson, I.: Spatial data infrastructures: concept, nature and SDI hierarchy. In: Williamson, I.P., Rajabifard, A., Feeney, M.-E. (eds.) Developing Spatial Data Infrastructures: From Concept to Reality, pp. 17–40. Taylor and Francis, London (2003)

    Google Scholar 

  7. European Commission: Directive 2003/4/EC of the European parliament and of the Council of 28 January 2003 on public access to environmental information and repealing Council Directive 90/313/EEC. Official Journal of the European Union, L 41/26 (2003)

    Google Scholar 

  8. European Commission: The reuse of public sector information, Directive 2003/98/EC of the European Parliament and of the Council. Official Journal of the European Union, L345, pp. 90–96 (2003)

    Google Scholar 

  9. European Commission: Directive 2019/1024 of the European Parliament and of the Council of 20 June 2019 on open data and the re-use of public sector information. Official Journal of The European Union, L 172/56 (2019)

    Google Scholar 

  10. Commission of the European Communities: Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE). Official Journal of the European Union (2007)

    Google Scholar 

  11. Strain, L., Rajabifard, A., Williamson, I.: Marine administration and spatial data infrastructure. Mar. Policy 30(4), 431–441 (2006)

    Article  Google Scholar 

  12. Hansen, H.S., Hvingel, L., Schrøder, L.: Open government data – a key element in the digital society. In: Kő, A., Leitner, C., Leitold, H., Prosser, A. (eds.) EGOVIS/EDEM 2013. LNCS, vol. 8061, pp. 167–180. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40160-2_14

    Chapter  Google Scholar 

  13. The Danish Government & Local Government Denmark: Good Basic Data for Everyone – A Driver for Growth and Efficiency. The eGovernment Strategy 2011–2015 (2012)

    Google Scholar 

  14. Hansen, H.S., Schrøder, L.: The societal benefits of open government data with particular emphasis on geospatial information. In: Kő, A., Francesconi, E., Anderst-Kotsis, G., Tjoa, A.M., Khalil, I. (eds.) EGOVIS 2019. LNCS, vol. 11709, pp. 31–44. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-27523-5_3

    Chapter  Google Scholar 

  15. Cooper, P., Pepper, J., Osborne, M.: The Hydrographic and Oceanographic Dimension to Marine Spatial Data Infrastructure Development: Developing the capability. White paper, IHO MSDI Working Group, May 2010 (2010)

    Google Scholar 

  16. Holzhüter, W., Luhtala, H., Hansen, H.S., Schiele, K.: Lost in space and time? A conceptual approach to harmonise data for maritime spatial planning. Int. J. Spat. Data Infrastruct. Res. 14, 108–132 (2019)

    Google Scholar 

  17. Lebègue, L., et al.: Pléiades-HR image quality commissioning. Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci. XXXIX-B1, 561–566 (2012)

    Article  Google Scholar 

  18. Airbus: Pléiades Neo. Trusted Intelligence (2019). https://www.intelligence-airbusds.com/automne/api/docs/v1.0/document/download/ZG9jdXRoZXF1ZS1kb2N1bWVudC02MDIwOA==/ZG9jdXRoZXF1ZS1maWxlLTYwMjA3/PleiadesNeo_TrustedIntelligence_web_201910.pdf

  19. Lyzenga, D.R., Malinas, N.P., Tanis, F.J.: Multispectral bathymetry using a simple physically based algorithm. IEEE Trans. Geosci. Remote Sens. 44(8), 2251–2259 (2006). https://doi.org/10.1109/TGRS.2006.872909

    Article  Google Scholar 

  20. Schutz, B.E., Zwally, H.J., Shuman, C.A., Hancock, D., DiMarzio, J.P.: Overview of the ICESat mission. Geophys. Res. Lett. 32, L21S01 (2005). https://doi.org/10.1029/2005GL024009

    Article  Google Scholar 

  21. Markus, T., et al.: The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementation. Remote Sens. Environ. 190, 260–273 (2017). https://doi.org/10.1016/j.rse.2016.12.029

    Article  Google Scholar 

  22. Parrish, C.E., Magruder, L.A., Neuenschwander, A.L., Forfinski-Sarkozi, N., Alonzo, M., Jasinski, M.: Validation of ICESat-2 ATLAS bathymetry and analysis of ATLAS’s bathymetric mapping performance. Remote Sens. 11(14) (2019). https://doi.org/10.3390/rs11141634

  23. Lemmens, M.J.P.M.: Photon Lidar. GIM Int. 29, 17 (2015)

    Google Scholar 

  24. Stoker, J., Abdullah, Q., Nayegandhi, A., Winehouse, J.: Evaluation of single photon and Geiger mode Lidar for the 3D Elevation Program. Remote Sens. 8(9), 1–16 (2016)

    Article  Google Scholar 

  25. Rothermel, M., Haala, N.: Potential of dense matching for the generation of high quality digital elevation models. Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci. ISPRS Arch. 38, 271–276 (2012). International Society for Photogrammetry and Remote Sensing

    Article  Google Scholar 

  26. Gonçalves, J.A., Henriques, R.: UAV photogrammetry for topographic monitoring of coastal areas. ISPRS J. Photogram. Remote Sens. 104, 101–111 (2015)

    Article  Google Scholar 

  27. Assenbaum, M.: Monitoring coastal erosion with UAV Lidar. GIM Int. 32(2), 18–21 (2018)

    Google Scholar 

  28. Petrie, G.: Mobile Mapping Systems: An Introduction to the Technology. Geoinformatics. 13, 32–43 (2010)

    Google Scholar 

  29. Bitenc, M., et al.: Evaluation of a LIDAR land - based mobile mapping system for monitoring sandy coasts. Remote Sens. 3(7), 2072–4292 (2011)

    Article  Google Scholar 

  30. Pfeifle S.: Clear Scanning of Clearwater (2019). https://www.xyht.com/hydromarine/clear-scanning-on-the-clearwater/

  31. European Commission: Directive 2014/89/EU of the European Parliament and of the Council of 23 July 2014 establishing a framework for maritime spatial planning. The Official Journal of the European Union, L 257/135 (2014)

    Google Scholar 

  32. Hansen, H.S., Reiter, I.M., Schrøder, L.: A system architecture for a transnational data infrastructure supporting maritime spatial planning. In: Kő, A., Francesconi, E. (eds.) EGOVIS 2017. LNCS, vol. 10441, pp. 158–172. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-64248-2_12

    Chapter  Google Scholar 

Download references

Acknowledgement

This research is carried as part of a Ph.D. project with financial support from the National Danish Geodata Agency.

Author information

Authors and Affiliations

  1. Aalborg University Copenhagen, A.C. Meyers Vænge 15, 2450, Copenhagen, Denmark

    Lone S. Hendriksen, Henning Sten Hansen & Lars Stenseng

Authors
  1. Lone S. Hendriksen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Henning Sten Hansen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lars Stenseng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lone S. Hendriksen .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Corvinus University of Budapest, Budapest, Hungary

    Andrea Kő

  2. National Research Council, Florence, Italy

    Enrico Francesconi

  3. Johannes Kepler University of Linz, Linz, Oberösterreich, Austria

    Gabriele Kotsis

  4. Vienna University of Technology, Vienna, Wien, Austria

    A Min Tjoa

  5. Johannes Kepler University of Linz, Linz, Oberösterreich, Austria

    Ismail Khalil

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hendriksen, L.S., Hansen, H.S., Stenseng, L. (2020). Data Acquisition for Integrated Coastal Zone Management and Planning in a Climate Change Perspective. In: Kő, A., Francesconi, E., Kotsis, G., Tjoa, A., Khalil, I. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2020. Lecture Notes in Computer Science(), vol 12394. Springer, Cham. https://doi.org/10.1007/978-3-030-58957-8_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-58957-8_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58956-1

  • Online ISBN: 978-3-030-58957-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation