Sentinel-1 for Urban Areas - Comparison between Automatically Derived Settlement Layers from Sentinel-1 Data and Copernicus High Resolution Information Layers

Arthur Lehner, Vahid Naeimi, Klaus Steinnocher

2017

Abstract

This work deals with the development of automatically derived settlement layers from Sentinel-1 data. The produced layers allow differentiation between built-up and non-built-up area. The results are visually compared with a standardized product of the Copernicus earth observation program, the Copernicus High Resolution Layer Imperviousness Degree. For evaluation of the accuracy, the European Settlement Map 2016 was chosen as a reference data set. In this study the ISODATA unsupervised classification algorithm is used for generating two layers that allow differentiation between built-up and non-built up area. The results reveal the suitability of Sentinel-1 data for urban areas mapping. The quality of the produced settlement layers are comparable to standardized products that are based on data from optical sensors e.g. Copernicus High Resolution Layer Imperviousness Degree or European Settlement Map 2016 respectively.

References

  1. Attema, E., Bargellini, P., Edwards, P., Levrini, G., Lokas, S., Moeller, L., Rosich-Tell, B., Secchi, P., Torres, R., Davidson, M., 2007. Sentinel-1-the radar mission for GMES operational land and sea services. ESA Bull. 131, 10-17.
  2. Ball, G.H., Hall, D.J., 1965. ISODATA, a novel method of data analysis and pattern classification. DTIC Document.
  3. Bauer-Marschallinger, B., Sabel, D., Wagner, W., 2014. Optimisation of global grids for high-resolution remote sensing data. Comput. Geosci. 72, 84-93.
  4. Ben-Asher, Z., 2013. HELM-Harmonised European Land Monitoring: Findings and Recommendations of the HELM Project. Tel-Aviv, Israel.
  5. Ciobotaru, N., Laslo, L., Matei, M., Musat, C., Lupei, T., Boboc, M., Deák, G., 2016. Mapping Romanian Wetlands - a Geographical Approach. Presented at the Conference: 3rd International Conference Water resources and wetlands, Tulcea, Romania, p. 14.
  6. D'Aria, D., Piantanida, R., Valentino, A., Riva, D., 2016. Freesar, an innovative SAR data processing framework, in: Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International. IEEE, pp. 1214- 1216.
  7. eCognition Developer 9.2, T., 2016. eCognition® Developer Version 9.2.1 Reference Book.
  8. EEA, E.E.A., 2000. Corine Land Cover. Eur. Environ. Agency Cph. 163.
  9. European Commission, E. S. M. 2016 (2017) 'European Settlement Map'. Copernicus. Available at: http://land.copernicus.eu/pan-european/GHSL/EU%20 GHSL%202014. Copyright European Commission, European Settlement Map 2016
  10. European Space Agency, 2013. Sentinel-1 User Handbook, GMES-S1OP-EOPG-TN-13-0001, https://sentinel.esa.int/.
  11. Florczyk, A.J., Ferri, S., Syrris, V., Kemper, T., Halkia, M., Soille, P., Pesaresi, M., 2016. A new european settlement map from optical remotely sensed data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 9, 1978-1992.
  12. Hennig, E.I., Schwick, C., Soukup, T., Orlitová, E., Kienast, F., Jaeger, J.A., 2015. Multi-scale analysis of urban sprawl in Europe: Towards a European desprawling strategy. Land Use Policy 49, 483-498.
  13. Langanke, T., 2013. GIO land (GMES/Copernicus initial operations land) High Resolution Layers (HRLs) - summary of product specifications, version 7 of 2013- 10-14, European Environment Agency, GIO land team at the EEA, 2013.
  14. Lefebvre, A., Picand, P.-A., Sannier, C., 2015. Mapping tree cover in European cities: comparison of classification algorithms for an operational production framework, in: 2015 Joint Urban Remote Sensing Event (JURSE). IEEE, pp. 1-4.
  15. Mücher, C.A., Hennekens, S.M., Schaminee, J.H.J., Halada, L., Halabuk, A., 2015. Modelling the spatial distribution of EUNIS forest habitats based on vegetation relevés and Copernicus HRL. European Topic Centre Biological Diversity.
  16. Naeimi, V., Elefante, S., Cao, S., Wagner, W., Dostalova, A., Bauer-Marschallinger, B., 2016. Geophysical parameters retrieval from sentinel-1 SAR data: a case study for high performance computing at EODC, in: Proceedings of the 24th High Performance Computing Symposium. Society for Computer Simulation International, p. 10.
  17. Sannier, C., Gallego, J., Dahmer, J., Smith, G., Dufourmont, H., Pennec, A., 2016. Validation of Copernicus high resolution layer on imperviousness degree for 2006, 2009 and 2012, in: Proceedings of the International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Montpellier, France. pp. 5-8.
  18. Steinnocher, K., Köstl, M., Weichselbaum, J., 2011. Gridbased population and land take trend indicators-new approaches introduced by the geoland2 core Information Service for Spatial Planning, in: NTTS Conference, Brussels.
  19. Tan, P.-N., 2006. Introduction to data mining. Pearson Education India.
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Paper Citation


in Harvard Style

Lehner A., Naeimi V. and Steinnocher K. (2017). Sentinel-1 for Urban Areas - Comparison between Automatically Derived Settlement Layers from Sentinel-1 Data and Copernicus High Resolution Information Layers . In Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-252-3, pages 43-49. DOI: 10.5220/0006320800430049


in Bibtex Style

@conference{gistam17,
author={Arthur Lehner and Vahid Naeimi and Klaus Steinnocher},
title={Sentinel-1 for Urban Areas - Comparison between Automatically Derived Settlement Layers from Sentinel-1 Data and Copernicus High Resolution Information Layers},
booktitle={Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2017},
pages={43-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006320800430049},
isbn={978-989-758-252-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Sentinel-1 for Urban Areas - Comparison between Automatically Derived Settlement Layers from Sentinel-1 Data and Copernicus High Resolution Information Layers
SN - 978-989-758-252-3
AU - Lehner A.
AU - Naeimi V.
AU - Steinnocher K.
PY - 2017
SP - 43
EP - 49
DO - 10.5220/0006320800430049