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http://dx.doi.org/10.7780/kjrs.2018.34.1.8

Evaluation of Polarimetric Parameters for Flood Detection Using PALSAR-2 Quad-pol Data  

Jung, Yoon Taek (Department of Geoinformation Engineering, Sejong University)
Park, Sang-Eun (Department of Geoinformation Engineering, Sejong University)
Baek, Chang-Sun (Department of Geoinformation Engineering, Sejong University)
Kim, Dong-Hwan (Department of Geoinformation Engineering, Sejong University)
Publication Information
Korean Journal of Remote Sensing / v.34, no.1, 2018 , pp. 117-126 More about this Journal
Abstract
This study aims to evaluate the usability of polarimetric SAR measurements for discriminating water-covered area from other land cover types and to propose polarimetric parameters showing the better response to the flood. Flood-related changes in the polarimetric parameters were studied using the L-band PALSAR-2 quad-pol mode data acquired before and after the severe flood events occurred in Joso city, Japan. The experimental results showed that, among various polarimetric parameters, the HH-polarization intensity, the Shannon entropy, and the surfaces scattering component of model-based decomposition were found to be useful to discriminate water-covered areas from other land cover types. Particularly, an unsupervised change detection with the Shannon entropy provides the best result for an automated mapping of flood extents.
Keywords
Flood detection; Synthetic Aperture Radar; Polarimetry; PALSAR-2;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Cloude, S.R. and E. Pottier, 1996. A review of target decomposition theorems in radar polarimetry, IEEE Transactions on Geoscience and Remote Sensing, 34(2): 498-518.   DOI
2 Cloude, S.R. and E. Pottier, 1997. An entropy based classification scheme for land applications of polarimetric SAR, IEEE Transactions on Geoscience and Remote Sensing, 35(1): 68-78.   DOI
3 Freeman, A. and S.L. Durden, 1998. A threecomponent scattering model for polarimetric SAR data, IEEE Transactions on Geoscience and Remote Sensing, 36: 963-973.   DOI
4 Giustarini, L., R. Hostache, P. Matgen, G.J.P Schumann, P.D. Bates, and D.C. Mason, 2013. A change detection approach to flood mapping in urban areas using TerraSAR-X, IEEE transactions on Geoscience and Remote Sensing, 51(4): 2417-2430.   DOI
5 GSI map, 2015. http://maps.gsi.go.jp/, Accessed on Feb. 2, 2018.
6 Lee, J.S. M.R. Grunes, and G. De Grandi, 1999. Polarimetric SAR speckle filtering and its implication for classification, IEEE Transactions on Geoscience and Remote Sensing, 37(5): 2363-2373.   DOI
7 Lee, J.S. and E. Pottier, 2009. Polarimetric radar imaging: from basics to applications, CRC press, Boca Raton, FL, USA.
8 Long, S., T.E. Fatoyinbo, and F. Policelli, 2014. Flood extent mapping for Namibia using change detection and thresholding with SAR, Environmental Research Letters, 9(3): 035002.   DOI
9 Mason, D.C., I.J. Davenport, J.C. Neal, G.J.P. Schumann, and P.D. Bates, 2012. Near realtime flood detection in urban and rural areas using high-resolution Synthetic Aperture Radar images, IEEE Transactions on Geoscience and Remote Sensing, 50(8): 3041-3052.   DOI
10 Mason, D.C., L. Giustarini, J. Garcia-Pintado, and H.L. Cloke, 2014. Detection of flooded urban areas in high resolution Synthetic Aperture Radar images using double scattering, International Journal of Applied Earth Observation and Geoinformation, 28: 150-159.   DOI
11 Park, S.-E., 2016. Detection of Water Bodies from Kompsat-5 SAR Data, Korean Journal of Remote Sensing, 32(5): 539-550 (in Korean with English abstract).   DOI
12 Plank, S., M. Jussi, S. Martinis, and A. Twele, 2017. Mapping of flooded vegetation by means of polarimetric Sentinel-1 and ALOS-2/PALSAR-2 imagery, International Journal of Remote Sensing, 38(13): 3831-3850.   DOI
13 Refregier, P. and J. Morio, 2006. Shannon entropy of partially polarized and partially coherent light with Gaussian fluctuations, Journal of the Optical Society of America A, 23(12): 3036-3044.   DOI
14 Van Zyl, J., M. Arii, and Y. Kim, 2011. Model-based decomposition of polarimetric SAR covariance matrices constrained for nonnegative eigenvalues, IEEE Transactions on Geoscience and Remote Sensing, 49: 3452-3459.   DOI
15 Yamazaki, F. and W. Liu, 2016. Extraction of Flooded Areas due the 2015 Kanto-Tohoku Heavy Rainfall in Japan Using PALSAR-2 Images, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 41: B8.
16 Yamaguchi, Y., T. Moriyama, M. Ishido, and H. Yamada, 2005. Four-component scattering model for polarimetric SAR image decomposition, IEEE Transactions on Geoscience and Remote Sensing, 43(8): 1699-1706.   DOI
17 Yamaguchi, Y, A. Sato, W.M. Boerner, R. Sato, and H. Yamada, 2011. Four-component scattering power decomposition with rotation of coherency matrix, IEEE Transactions on Geoscience and Remote Sensing, 49: 2251-2258.   DOI