MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania
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 developmen...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Sciendo
2016-12-01
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Series: | Journal of Hydrology and Hydromechanics |
Subjects: | |
Online Access: | https://doi.org/10.1515/johh-2016-0040 |
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author | Craciunescu Vasile Stancalie Gheorghe Irimescu Anisoara Catana Simona Mihailescu Denis Nertan Argentina Morcov George Constantinescu Stefan |
author_facet | Craciunescu Vasile Stancalie Gheorghe Irimescu Anisoara Catana Simona Mihailescu Denis Nertan Argentina Morcov George Constantinescu Stefan |
author_sort | Craciunescu Vasile |
collection | DOAJ |
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. |
first_indexed | 2024-04-12T22:45:46Z |
format | Article |
id | doaj.art-3ca9aa67876c44539edca57702e71b03 |
institution | Directory Open Access Journal |
issn | 0042-790X |
language | English |
last_indexed | 2024-04-12T22:45:46Z |
publishDate | 2016-12-01 |
publisher | Sciendo |
record_format | Article |
series | Journal of Hydrology and Hydromechanics |
spelling | doaj.art-3ca9aa67876c44539edca57702e71b032022-12-22T03:13:33ZengSciendoJournal of Hydrology and Hydromechanics0042-790X2016-12-0164432933610.1515/johh-2016-0040johh-2016-0040MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in RomaniaCraciunescu Vasile0Stancalie Gheorghe1Irimescu Anisoara2Catana Simona3Mihailescu Denis4Nertan Argentina5Morcov George6Constantinescu Stefan7 National Meteorological Administration 97, Soseaua Bucuresti-Ploiesti, sector 1 013686, Bucharest, Romania. National Meteorological Administration 97, Soseaua Bucuresti-Ploiesti, sector 1 013686, Bucharest, Romania. National Meteorological Administration 97, Soseaua Bucuresti-Ploiesti, sector 1 013686, Bucharest, Romania. National Meteorological Administration 97, Soseaua Bucuresti-Ploiesti, sector 1 013686, Bucharest, Romania. National Meteorological Administration 97, Soseaua Bucuresti-Ploiesti, sector 1 013686, Bucharest, Romania. National Meteorological Administration 97, Soseaua Bucuresti-Ploiesti, sector 1 013686, Bucharest, Romania. National Meteorological Administration 97, Soseaua Bucuresti-Ploiesti, sector 1 013686, Bucharest, Romania. Faculty of Geography, University of Bucharest 1, Bd. Nicolae Bălcescu, Sector 1, Bucharest, Romania.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.https://doi.org/10.1515/johh-2016-0040flood extent mappingmodisweb services2006 danube flood |
spellingShingle | Craciunescu Vasile Stancalie Gheorghe Irimescu Anisoara Catana Simona Mihailescu Denis Nertan Argentina Morcov George Constantinescu Stefan MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania Journal of Hydrology and Hydromechanics flood extent mapping modis web services 2006 danube flood |
title | MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania |
title_full | MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania |
title_fullStr | MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania |
title_full_unstemmed | MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania |
title_short | MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania |
title_sort | modis based multi parametric platform for mapping of flood affected areas case study 2006 danube extreme flood in romania |
topic | flood extent mapping modis web services 2006 danube flood |
url | https://doi.org/10.1515/johh-2016-0040 |
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