MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania
Autor: | Denis Mihailescu, Vasile Craciunescu, Argentina Nertan, Anisoara Irimescu, Simona Catana, Gheorghe Stancalie, Stefan Constantinescu, George Morcov |
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Rok vydání: | 2016 |
Předmět: |
2006 danube flood
Earth observation Engineering 010504 meteorology & atmospheric sciences Floodplain 0211 other engineering and technologies TA Engineering (General). Civil engineering (General) 02 engineering and technology 01 natural sciences Software flood extent mapping Natural hazard 021101 geological & geomatics engineering 0105 earth and related environmental sciences Water Science and Technology Remote sensing Fluid Flow and Transfer Processes modis geography geography.geographical_feature_category Flood myth Event (computing) business.industry Mechanical Engineering Flooding (psychology) Hydraulic engineering web services Satellite TC1-978 business |
Zdroj: | Journal of Hydrology and Hydromechanics, Vol 64, Iss 4, Pp 329-336 (2016) |
Popis: | 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. |
Databáze: | OpenAIRE |
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