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Evaluation of Damages Caused by Floods, Based on Satellite Images. Case Study: Jijia River, Slobozia-Dângeni Sector, July 2010

Elena Hutanu
  • Alexandru Ioan Cuza University of Iasi, Faculty of Geography and Geology, Department of Geography, Bd. Carol I 20A, 700505, Iasi, Romania
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  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Andrei Urzica
  • Alexandru Ioan Cuza University of Iasi, Faculty of Geography and Geology, Department of Geography,
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Andrei Enea
  • Alexandru Ioan Cuza University of Iasi, Faculty of Geography and Geology, Department of Geography.
  • Intregrated Center of Environmental Science Studies in the North Eastern Region – CERNESIM
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Published Online: 2018-11-14 | DOI: https://doi.org/10.2478/pesd-2018-0035

Abstract

This research aimed to identify flooded areas following the July 2010 floods, using Landsat 7-ETM + satellite imagery and a more efficient way to extract water bodies. By computing several indices, such as MNDWI, NDWI, NDVI, AWI, WRI and NDMI, it was concluded that, in the present case, the NDWI index was most effective, the data obtained having a very good accuracy. The studied area was the Jijia River Slobozia-Dângeni sector, the Landsat 7-ETM + images were taken on July 3, 2010. The flow rate at this time at the Dângeni station was 473 cm, decreasing compared to July 1, 2010 when the share reached 579 cm. The flooded area obtained is 15.80 km2, the maximum extension of the flood area on July 3, 2010 being approx. 1 km on the localities of Durneşti and Sapoveni. The study found 143 houses in 19 localities flooded. Of the total flooded areas, the largest share is held by arable land (44.58%), with a surface area of 7.04 km2.

Keywords: flood; GIS; Jijia river; Remote sensing; damage assessment

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About the article

Published Online: 2018-11-14

Published in Print: 2018-10-01


Citation Information: Present Environment and Sustainable Development, Volume 12, Issue 2, Pages 135–146, ISSN (Online) 2284-7820, DOI: https://doi.org/10.2478/pesd-2018-0035.

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© 2018 Elena Hutanu et al., published by Sciendo. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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