Software tool to perform semi-automatic mapping of flooded areas from EO data & kernel based classifiers (developed in Matlab). This is a research output produced from collaborative work with colleagues from the University of Lausanne, Switzerland. We have already published 2 research papers using this software and we have also presented a conference paper demonstrating this software tool use. The software is available upon request.

 

 

Publications using the software tool:

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• Ireland, G., Volpi, M. & G.P., Petropoulos (2015): Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood. Remote Sensing 7, 3372-3399; doi:10.3390/rs70303372 [IF: 3.180]  

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• Volpi, M., G.P. Petropoulos & M. Kanevski (2013): Flooding Extent Cartography With Landsat TM Imagery and Regularized Kernel Fisher's Discriminant Analysis. Computers and Geosciences, 57, 24-31, doi: 10.1016/j.cageo.2013.03.009. [IF: 2.054]

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• Volpi, M., G.P., Petropoulos & M. Kanevski (2012): Flooded area cartography with kernel-based classifiers and Landsat TM imagery. European Geosciences Union, April 22-27th, 2012, Vienna, Austria.   [DOWNLOAD]