Improving remote sensing flood assessment using volunteered geographical data

A new methodology for the generation of flood hazard maps is presented fusing remote sensing and volunteered geographical data. Water pixels are identified utilizing a machine learning classification of two Landsat remote sensing scenes, acquired before and during the flooding event as well as a dig...

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Bibliographic Details
Main Authors: E. Schnebele, G. Cervone
Format: Article
Language:English
Published: Copernicus Publications 2013-03-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/13/669/2013/nhess-13-669-2013.pdf

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