[ Potentiel de la télédétection sur la cartographie des inondations de la haute vallée de la Medjerda ]
Volume 66, Issue 1, April 2023, Pages 57–67
Olfa HAJJI1, Sahar ABIDI2, Ahmed EZZINE3, and Emna SILINI4
1 Département de Génie rural: Eaux et Forêts, Institut National Agronomique de Tunisie, Tunis-Mahrajène, Tunisia
2 Département de Génie rural: Eaux et Forêts, Institut National Agronomique de Tunisie, Tunis-Mahrajène, Tunisia
3 Centre national de la cartographie et de la télédétection, Tunisia
4 Engineer High School of Mjez el-bab, University of Jendouba, Tunisia
Original language: French
Copyright © 2023 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study is part of the project of floodplains delimitation of Medjerda based on remote sensing, specifically the section between Ghardimaou and the dam of Sidi Salem. The watershed studied is located northwest of Tunisia, characterized by an elongated shape. Indeed, morphologically, it is bordered on his sides by high reliefs that prevent the flow of many rivers that converge therefore in the basin. The soil texture is mainly characterized by a dominance of complex units of soil and not much evolved alluvial contribution soil. Following the flood phenomenon hitting multiple cities around Medjerda during the last century, in this context, our study aims to map and delineate inundated areas by remote sensing method based on Landsat satellite images and supervised classification by ENVI. Remote sensing, GIS and ENVI were enlisted to mapping areas at risk of flooding in the study site. Thus that around 50% of the total area of the zone was touched by the flood of 2003, and around 40% of the total area was affected by the flood of 2010.
Author Keywords: Flood risk, remote sensing, supervised classification, High Medjerda valley.
Volume 66, Issue 1, April 2023, Pages 57–67
Olfa HAJJI1, Sahar ABIDI2, Ahmed EZZINE3, and Emna SILINI4
1 Département de Génie rural: Eaux et Forêts, Institut National Agronomique de Tunisie, Tunis-Mahrajène, Tunisia
2 Département de Génie rural: Eaux et Forêts, Institut National Agronomique de Tunisie, Tunis-Mahrajène, Tunisia
3 Centre national de la cartographie et de la télédétection, Tunisia
4 Engineer High School of Mjez el-bab, University of Jendouba, Tunisia
Original language: French
Copyright © 2023 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This study is part of the project of floodplains delimitation of Medjerda based on remote sensing, specifically the section between Ghardimaou and the dam of Sidi Salem. The watershed studied is located northwest of Tunisia, characterized by an elongated shape. Indeed, morphologically, it is bordered on his sides by high reliefs that prevent the flow of many rivers that converge therefore in the basin. The soil texture is mainly characterized by a dominance of complex units of soil and not much evolved alluvial contribution soil. Following the flood phenomenon hitting multiple cities around Medjerda during the last century, in this context, our study aims to map and delineate inundated areas by remote sensing method based on Landsat satellite images and supervised classification by ENVI. Remote sensing, GIS and ENVI were enlisted to mapping areas at risk of flooding in the study site. Thus that around 50% of the total area of the zone was touched by the flood of 2003, and around 40% of the total area was affected by the flood of 2010.
Author Keywords: Flood risk, remote sensing, supervised classification, High Medjerda valley.
Abstract: (french)
La présente étude s’insère dans le cadre du projet de délimitation des zones inondables de la Medjerda en se basant sur la télédétection, plus précisément du tronçon compris entre Ghardimaou et barrage Sidi Salem. Le bassin versant étudiée se situe au nord-ouest de la Tunisie, caractérisée par une forme allongée. En effet, sur le plan morphologique, il est bordé de part et d’autre par des reliefs élevés qui empêchent l’écoulement des nombreux cours d’eau qui convergent donc dans le bassin. Sur le plan pédologique la texture des sols est principalement caractérisée par une dominance des unités complexe de sol et des sols peu évolué d’apport alluvial. Suite au phénomène d’inondation qui à toucher plusieurs villes autour de la Medjerda pendant le dernier siècle, dans ce contexte, notre étude a pour but de cartographier et délimiter les zones à risque par la méthode de télédétection en se basant sur des images satellitaires Landsat et sur la classification supervisée par l’ENVI. La télédétection, l’ENVI et les SIG ont été mis à contribution pour la cartographie des zones à risque d’inondation dans le site d’étude. C’est ainsi qu’environs 50 % de la superficie totale de la zone est soumis au risque pour la crue de 2003, et environs 40% de la superficie totale est touché pour les crues de 2010.
Author Keywords: Risque d’inondation, télédétection, classification supervisée, haute vallée de la Medjerda.
How to Cite this Article
Olfa HAJJI, Sahar ABIDI, Ahmed EZZINE, and Emna SILINI, “Potential of remote sensing on flood mapping of the upper valley of the Medjerda,” International Journal of Innovation and Scientific Research, vol. 66, no. 1, pp. 57–67, April 2023.
