Abstract
Medium-resolution SAR satellite data have been widely used for water and flood mapping in recent years. Since the beginning of 2008 high-resolution radar data with up to 1 m pixel spacing of the TerraSAR-X satellite are operationally available. Due to the improved resolution of the sensor more details of the Earth’s surface become visible. A number of different appearances of water bodies in TerraSAR-X data are shown that are relevant for a general water mapping concept. Existing water body detection approaches that have been applied to medium-resolution SAR data are reviewed with regard to their applicability for TerraSAR-X data. As a complementary mission to TerraSAR-X the launch of TanDEM-X is planned for October 2009. The data of both satellites will be used to generate a global DEM (Digital Elevation Model) with an interferometric data acquisition concept. As a byproduct to the DEM data set a global water mask will be derived from the SAR data. The concept for this water detection process within the TanDEM-X project is introduced in this paper.
Keywords
- Digital Elevation Model
- Active Contour Model
- Flood Mapping
- High Backscatter
- Digital Elevation Model Generation
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ahtonen P, Euro M, Hallikainen M, Solbø S, Johansen B, Solheim I (2004) SAR and optical based algorithms for estimation of water bodies. Technical report, FloodMan Project, http://projects.itek.norut.no/floodman.
Ferreira JPG, Bioucas-Dias JM (2008) Bayesian land and sea segmentation of SAR imagery. Proceedings of 3. TerraSAR-X Science Team Meeting, Oberpfaffenhofen, Germany, http://sss.terrasar-x.dlr.de/papers_sci_meet_3/paper/ OCE0050_ferreira.pdf.
Henry JB, Chastanet P, Fellah K, Desnos YL (2006) Envisat multi-polarized ASAR data for flood mapping. Int J Remote Sens 27(9–10):1921–1929.
Heremans R, Willekens A, Borghys D, Verbeeck B, Valckenborg J, Acheroy M, Perneel C (2003) Automatic detection of flooded areas on ENVISAT/ASAR images using an object-oriented classification technique and an active contour algorithm. Proceedings of IEEE Conference on RAST 2003, Istanbul, Turkey, pp. 289–294.
Herrera-Cruz V, Koudogbo F (2009) TerraSAR-X rapid mapping for flood events. In: Proceedings of ISPRS Hannover Workshop High-Resolution Earth Imaging for Geospatial Information, Hannover, Germany, pp. 170–175.
Horritt MS (1999) A statistical active contour model for SAR image segmentation. Image Vision Comput 17:213–224.
Krieger G, Moreira A, Fiedler H, Hajnsek I, Werner M, Younis M, Zink M (2007) TanDEM-X: A satellite formation for high-resolution SAR interferometry. IEEE Trans Geosci Remote Sens 45(11):3317–3341.
Martinis S, Twele A, Voigt S (2009) Towards operational near real-time flood detection using a split-based automatic thresholding procedure on high resolution TerraSAR-X data. Nat Hazard Earth Sys Sci 9:303–314.
Matgen P, Schumann G, Henry JB, Hoffmann L, Pfister L (2007) Integration of SAR-derived inundation areas, high precision topographic data and a river flow model toward real-time flood management. J Appl Earth Observ and Geoinform 9:247–263.
MODIS/Terra Land Cover Type Yearly L3 Global 1 km SIN Grid – MOD12Q1: http://edcdaac.usgs.gov/modis/mod12q1v4.asp, MODIS/Terra Land Cover Types Yearly L3 Global 0.05Deg CMG – MOD12C1: http://edcdaac.usgs.gov/modis/mod12c1v4.asp
Nico G, Pappalepore M, Pasquariello G, Refice A, Samarelli S (2000) Comparison of SAR amplitude vs. coherence flood detection methods – a GIS application. Int J Remote Sens 21(8):1619–1631.
Pal NK, Pal SK (1993) A review on image segmentation techniques. Pattern Recognit 26:1277–1294.
Townsend PA, Walsh SJ (1998) Modelling flood plain inundation using integrated GIS with radar and optical remote sensing. Geomorphology 21(98):295–312.
Wessel B, Marschalk U, Gruber A, Huber M, Hahmann T, Roth A, Habermeyer M (2008) Design of the DEM mosaicking and calibration processor for TanDEM-X. In: ITG/VDE (eds.) Proceedings of the 7th European Conference on Synthetic Aperture Radar (EUSAR), Friedrichshafen, Germany, vol. 4, pp. 111–114.
Wessel P, Smith WHF (1996) A global, self-consistent, hierarchical, high-resolution shoreline database. J Geophys Res – Solid Earth 101(B4):8741–8743.
Zink M, Krieger G, Fiedler H, Hajnsek I, Moreira A (2008) The TanDEM-X Mission Concept. In: ITG/VDE (eds.): Proceedings of the 7th European Conference on Synthetic Aperture Radar (EUSAR), Friedrichshafen, Germany, vol. 4, pp. 31–34.
Acknowledgement
This work is mainly funded by the German Ministry of Education, Science, Research and Technology (BMBF) in the context of the RIMAX Research Programme (Risk Management of Extreme Flood Events), sub-project SAR-HQ (grant ref. nr.: 0330719). Thanks to German Aerospace Center (DLR) for providing TerraSAR-X data within the project nr. HYD0326. Finally, the authors wish to thank the anonymous reviewers for their helpful comments which greatly improved the paper.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Hahmann, T., Twele, A., Martinis, S., Buchroithner, M. (2010). Strategies for the Automatic Extraction of Water Bodies from TerraSAR-X / TanDEM-X data. In: Konecny, M., Zlatanova, S., Bandrova, T. (eds) Geographic Information and Cartography for Risk and Crisis Management. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03442-8_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-03442-8_9
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03441-1
Online ISBN: 978-3-642-03442-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)