Abstract
Abstract. The agricultural fields along the coast were submerged under the sea water after the 2011 off the Pacific Coast of Tohoku Japan Tsunami. The conventional method of detecting Tsunami reached area by SAR satellite data is to compare the data obtained between previous to and after the Tsunami. However such kind of SAR data should be prepared prior to the natural disaster, but in many disaster cases, people have often encountered difficulties in finding such kind of data observed in advance in some regions. Therefore it is desirable to find a way to detect the flood suffering farmlands caused by a Tsunami, using only data observed after the disaster event. The morphological profiles (MPs) method are tested using ALOS/PALSAR and AVNIR-2 data. This MPs method is proposed as the tool for extracting information about the size, shape and the orientation of structures in single-band remote sensing images and has been improved to establish the extended morphological profiles(EMP) dealing with full-spectral information in the multi-/hyper-spectral data (Benediktsson, J.A. et al.,2003,2005). The author’s work is intended to apply this MPs method to combined single polarization SAR data and visual and near-infrared bands data. The results approximately coincide with the farmland regions actually reached by the Tsunami. This MPs method requires only data once obtained soon after a disaster, light computer resources and very short turnaround time. It should be suitable for the detection of Tsunami reached areas or tidal wave reached areas, caused by a Typhoon for example, using satellite data only once obtained after a disaster.
Highlights
1.1 Morphological ProfilesThe mathematical morphology filtering method is an alternative measure to the conventional image processing
As the farmland along the coast is under a poor drainage condition, pumping water is always necessary.(The Japanese Society of Rural Development Engineers, 2012) The soil in such farmland suffered from the salt in sea water
The morphological profiles method are tested as ways of detecting Tsunami affected farmland using both SAR and multispectral data
Summary
The mathematical morphology filtering method is an alternative measure to the conventional image processing. Matheron in France as a method for oreassaying(Plaza, 2005, Soille,2003) They are making efforts to replace the conventional image processing method with mathematical morphology filtering.(Takagi,2004) This mathematical morphology method is suitable for computer operational measurement, because its operation is combined with simple procedures using localized information.(Takagi,2004) The extension of mathematical morphology to hyperspectral imagery for spatial and spectral data processing was done by (Soille, P.,2003), (Pesaresi,M. et al.,2001). To calculate EMP, the primary principal components, PCs, are derived from principal component analysis(PCA) to the hyperspectral data These MPs are kind of tools to combine spectral and spatial information for classification of multi-/hyper-spectral data. This morphological profiles method has been extended to include use for classifying both multispectral data and polarimetric SAR data (Marpu,P.R., et al.,2011)
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