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

Title:

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

Creator:

Craciunescu, Vasile, Stancalie, Gheorghe, Irimescu, Anisoara, Catana, Simona, Mihailescu, Denis, Nertan, Argentina, Morcov, George, and Constantinescu, Stefan

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:3d73d6d1-23f0-47fe-bbb9-52f1874c7c9e
uuid:3d73d6d1-23f0-47fe-bbb9-52f1874c7c9e
doi:10.1515/johh-2016-0040

Subject:

flood extent mapping, MODIS, web services, and 2006 Danube flood

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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.

Language:

Slovak

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

329-336

Source:

Journal of hydrology and hydromechanics | 2016 Volume:64 | Number:4

Harvested from:

CDK

Metadata only:

false