The new scientific and practical methodologies - based on Remote Sensing data - for the rapid mapping of natural disasters and to figure out the damages in near-real time will be evaluatedd and demostrated on two study areas:  (i) the area in Japan affected by the Tohoku tsunami in 2011 and (ii) the Emilia-Romagna region and L’Aquila city in Italy where strong earthquakes took place in 2009 and 2012.
The collected data features optical and SAR satellite data (ALOS, FORMOSAT-2, TerraSAR-X, etc.), aerial imagery (nadir and oblique), UAV images, vector data and maps.

Detected flooded-areas (blue) by thresholding and morphologic filtering on TerraSAR-X (left) and etracted changed areas (white) data by Curvelet filtering (right).


Corresponding patches (windows) to be matched and registered: optical image in green and SAR image in magenta before (left) and after (right) the computed translation of one against the other in x and y directions.


Identification of flooded areas from FORMOSAT-2 images (NSPO). (a) PAN image (March 11, 2011). (b) Pan image (March 19, 2011). (c) Binarised image of (a). (d) Binarised image of (b). (e) Difference of (c) and (d) showing the estimated flooded areas overlaid on the true colour image of March 11, 2011.


Derived dense point clouds over L'Aquila (Italy) before (2008, left) and after (2009, right) the earthquake.


Derived DSM from aerial images, orthoimage, segmentation and urban classification and final damage map.


More technical details about the developed methodologies can be read in the project publications. A webGIS has been created to access the results of the developed processing methodologies.