SAR polarimetric change detection for flooded vegetation

International Journal of Digital Earth

Volumn 6, Issue 2, 2013, Pages 103-114

  Brisco, B ^a   Schmitt, A ^b   Murnaghan, K ^a   Kaya, S ^a   Roth, A ^b  

^a CANADA CENTRE FOR REMOTE SENSING   (Canada)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

change detection; earth observation; floods; land cover; microwave remote sensing; SAR polarimetry; wetlands

Indexed keywords

DATA ACQUISITION; FLOODS; LAKES; MONITORING; POLARIMETERS; RADAR IMAGING; REMOTE SENSING; VEGETATION; WETLANDS;

CHANGE DETECTION; EARTH OBSERVATIONS; LAND COVER; MICROWAVE REMOTE SENSING; SAR POLARIMETRY;

SYNTHETIC APERTURE RADAR;

DATA ACQUISITION; FLOODING; REMOTE SENSING; SIGNAL PROCESSING; SNOWMELT; SYNTHETIC APERTURE RADAR; VEGETATION;

EID: 84874147347     PISSN: 17538947     EISSN: 17538955     Source Type: Journal    
DOI: 10.1080/17538947.2011.608813     Document Type: Article

References (21)

1. Brisco, B. 2008. Water resource applications with RADARSAT-2-a preview. International Journal of Digital Earth, 1(1): 130-147. doi:10.1080/17538940701782577
2. Brisco, B. 2009. A semi-automated tool for surface water mapping with RADARSAT-1. Canadian Journal of Remote Sensing, 35(4): 336-344. doi:10.5589/m09-025
3. Brisco, B., et al., 2011. Evaluation of C-band polarization diversity and polarimetry for wetland mapping. Canadian Journal of Remote Sensing (accepted for publication).
4. Candès, E.J. and Donoho, D.L. 1999. "Curvelets-a surprisingly effective nonadaptive representation for objects with edges". In Curve and surface fitting. Innovations in applied mathematics, Edited by: Schumaker, L. 105-120. Nashville (TN), Saint-Malo (France): Vanderbilt University Press.
5. Cloude, S.R. and Pottier, E. 1997. An entropy based classification scheme for land applications of polarimetric SAR. IEEE Transactions on Geoscience and Remote Sensing, 35(1): 68-78. doi:10.1109/36.551935
6. 210Pb measurement and satellite image analyses. Geomorphology, 41(1-2): 171-181. doi:10.1016/S0169-555X(01)00114-3
7. Freeman, A. and Durden, S.L. 1998. A three-component scattering model for polarimetric SAR data. IEEE Transactions on Geoscience and Remote Sensing, 36(3): 963-973. doi:10.1109/36.673687
8. Huang, J.L. 1999. "The change of wetland and analysis of flood control in Dongting Lake". In The symposium of flooding disaster and scientific and technological countermeasure of the Yagntze River, Edited by: Xu, H.Z. and Zhao, Q.G. 106-112. Beijing: Science Press of China. (In Chinese)
9. Kasischke, E.S. and Bourgeau-Chavez, L.L. 1997. Monitoring South Florida wetlands using ERS-1 SAR imagery. Photogrammetric Engineering & Remote Sensing, 63(3): 281-291.
10. Mao, X.-C., Liang-hui, X., and Takashima, I., 2006. Application of MOS-1b/MESSR data to flood monitoring of Dongting Lake. Journal of Central South University of Technology, 13 1, 110-116. doi:10.1007/s11771-006-0116-3
11. Peng, D., et al., 2005. Study of Dongting Lake area variation and its influence on water level using MODIS data. Hydrological Sciences-Journal-des Sciences Hydrologiques, 50 1, 31-41.
12. Pope, K.O. 1997. Detecting seasonal flooding cycles in marches of the Yucatan Peninsula with SIR-C polarimetric radar imagery. Remote Sensing of Environment, 59(2): 157-166. doi:10.1016/S0034-4257(96)00151-4
13. Schmitt, A., Wessel, B., and Roth, A., 2009a. Curvelet approach for SAR image denoising, structure enhancement, and change detection. In: U. Stilla, F. Rottensteiner and N. Paparoditis CMRT09. IAPRS, XXXVIII (3/W4), 3-4 September 2009 Paris, France. Beijing, China: ISPRS WGIII/4, 151-156.
14. Schmitt, A., Wessel, B., and Roth, A., 2009b. Curvelet-based change detection for man-made objects from SAR Images. IEEE Proceedings of IGARSS 2009, Cape Town, South Africa. New York: xIEEE, 1059-1062.
15. Schmitt, A., Wessel, B. and Roth, A. 2010. Curvelet-based change detection on SAR images for natural disaster mapping. Photogrammetrie, Fernerkundung, Geoinformation, 2010(6): 467-478.
16. Smith, L.C. 1997. Satellite remote sensing of river inundation area, stage, and discharge: a review. Hydrological Processes, 11: 1427-1439. doi:10.1002/(SICI)1099-1085(199708)11:10WC1427::AID-HYP473WE3.0.CO;2-S
17. Touzi, R., Deschamps, A. and Rother, G. 2007. Wetland characterization using polarimetric RADARSAT-2 capability. Canadian Journal of Remote Sensing, 33(Suppl. 1): S56-S67. doi:10.5589/m07-047
18. Touzi, R. 2004. A review of polarimetry in the context of Synthetic Aperture Radar: concepts, and information extraction. Canadian Journal of Remote Sensing, 30(3): 380-407. doi:10.5589/m04-013
19. Van Zyl, J.J. 1989. Unsupervised classification of scattering behaviour using radar polarimetry data. IEEE Transactions on Geoscience and Remote Sensing, 27(1): 37-45. doi:10.1109/36.20273
20. Yamaguchi, Y. 2005. Four-component scattering model for polarimetric SAR image decomposition. IEEE Transactions on Geoscience and Remote Sensing, 43(8): 1699-1706. doi:10.1109/TGRS.2005.852084
21. Zhang, J. 2006. Measuring water storage fluctuations in Lake Dongting, China by Topex/Poseidon satellite altimetry. Environmental Monitoring and Assessment, 115(1-3): 23-37. doi:10.1007/s10661-006-5233-9