Welcome to the InfoSci Platform
Reference Hub2
A GIS Multi-Criteria Analysis and Remote Sensing for Flood Risk Management of Bou Salem City, Tunisia

A GIS Multi-Criteria Analysis and Remote Sensing for Flood Risk Management of Bou Salem City, Tunisia

Salwa Saidi, Anis Ghattassi, Samar Zaggouri, Ahmed Ezzine
Copyright: © 2021 |Pages: 19
ISBN13: 9781799819547|ISBN10: 179981954X|ISBN13 Softcover: 9781799819554|EISBN13: 9781799819561
DOI: 10.4018/978-1-7998-1954-7.ch001
Cite Chapter Cite Chapter

MLA

Saidi, Salwa, et al. "A GIS Multi-Criteria Analysis and Remote Sensing for Flood Risk Management of Bou Salem City, Tunisia." Interdisciplinary Approaches to Spatial Optimization Issues, edited by Sami Faiz and Soumaya Elhosni, IGI Global, 2021, pp. 1-19. https://doi.org/10.4018/978-1-7998-1954-7.ch001

APA

Saidi, S., Ghattassi, A., Zaggouri, S., & Ezzine, A. (2021). A GIS Multi-Criteria Analysis and Remote Sensing for Flood Risk Management of Bou Salem City, Tunisia. In S. Faiz & S. Elhosni (Eds.), Interdisciplinary Approaches to Spatial Optimization Issues (pp. 1-19). IGI Global. https://doi.org/10.4018/978-1-7998-1954-7.ch001

Chicago

Saidi, Salwa, et al. "A GIS Multi-Criteria Analysis and Remote Sensing for Flood Risk Management of Bou Salem City, Tunisia." In Interdisciplinary Approaches to Spatial Optimization Issues, edited by Sami Faiz and Soumaya Elhosni, 1-19. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-1954-7.ch001

Export Reference

Mendeley
Favorite

Abstract

In the context of global warming, it is very critical to delineate areas of high flood vulnerability and risk. Climate and hydrologic surveying using traditional methods is not always available and depends on external factors. So, the use of geographical information system and remote sensing is of high importance as a decision support system. This approach is of low cost and can cover a long period for surveying. This study aims to provide decision makers a framework of GIS based on multicriteria analysis for flood risk mapping. Classified remote sensing image layers are used to complete GIS-multicriteria results. Results show that the high to very high-risk levels affect the majority of the study area, particularly the south-west and north-east zones. The comparison between GIS and remote sensing approaches shows the same areas of risk and reveals that it is a reliable methodology that greatly enhances decision making.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.