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MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania Cover

MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania

Open Access
|Oct 2016

Abstract

Flooding remains the most widely distributed natural hazard in Europe, leading to significant economic and social impact. Earth observation data is presently capable of making fundamental contributions towards reducing the detrimental effects of extreme floods. Technological advance makes development of online services able to process high volumes of satellite data without the need of dedicated desktop software licenses possible. The main objective of the case study is to present and evaluate a methodology for mapping of flooded areas based on MODIS satellite images derived indices and using state-of-the-art geospatial web services. The methodology and the developed platform were tested with data for the historical flood event that affected the Danube floodplain in 2006 in Romania. The results proved that, despite the relative coarse resolution, MODIS data is very useful for mapping the development flooded area in large plain floods. Moreover it was shown, that the possibility to adapt and combine the existing global algorithms for flood detection to fit the local conditions is extremely important to obtain accurate results.

DOI: https://doi.org/10.1515/johh-2016-0040 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X
Language: English
Page range: 329 - 336
Submitted on: Dec 15, 2015
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Accepted on: Aug 10, 2016
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Published on: Oct 21, 2016
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 Vasile Craciunescu, Gheorghe Stancalie, Anisoara Irimescu, Simona Catana, Denis Mihailescu, Argentina Nertan, George Morcov, Stefan Constantinescu, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.