ALGORITHM2
TUW's flood detection algorithm (provisionally, Algorithm2) is a fuzzy-logic based water class membership assignment, is a part of a flood classification refinement step described in Martinis et al. (2015) and Twele et al. (2016). It aims to exclude water-lookalikes and to reduce underestimations from initial classification by constructing a fuzzy set that consists of (a) the backscatter level, (b) the elevation of an image element in comparison to the mean elevation of the initially derived water areas, (c) topographic slope information, and (d) the size of an individual flood object; degree of an element’s membership to the class water is determined by standard S and Z membership functions. The average of the individual membership degrees is computed for each pixel in order to combine all fuzzy elements into a single composite fuzzy set Figure 20.
For further details the Reader is referred to the dedicated section of the Product Description Document: https://www.gfm_pdd.org/Algorithm2
References
[1] Giustarini, L., Hostache, R., Kavetski, D., Chini, M., Corato, G., Schlaffer, S., and Matgen P. (2016). Probabilistic flood mapping using Synthetic Aperture Radar data, IEEE Transactions on Geoscience and Remote Sensing, 54 (12), 6958-6969
download Giustarini et al. (2016)
[2] Chini M., Hostache R., Giustarini L., Matgen P., A Hierarchical Split-Based Approach for parametric thresholding of SAR images: flood inundation as a test case, IEEE Transactions on Geoscience and Remote Sensing, 55 (12), 6975-6988, 2017.
download Chini et al. (2017)
