Located in the hyper-arid regions of Algeria, the M’zab Wadi basin has historically experienced severe flash flooding, causing severe economic damage and loss of life. Identifying potential flood hazard areas in such an arid environment, challenged by data scarcity, is necessary to forecast flood and to create early warning strategies. The paper aims to map and highlight potential flood hazard areas in the M’zab Wadi basin using geographic information system coupled with the Analytical Hierarchy Process method based on seven related flood hazard factors. The accuracy of the flood hazard map was validated using the Receiver Operating Characteristic based Area Under Curves method. The results show that 3.04% (50.35 km2) and 0.53% (8.74 km2) of the basin area are under high and very high flood vulnerability levels, respectively. The obtained results can offer significant insights to policymakers and decision-makers to make well-informed judgments regarding the effectiveness of flood protective infrastructure/measures. Furthermore, the approach adopted can be advantageous for other regions under similar conditions.
Kadri, C.B., Guerroudj, A., Hamlat, A. et al. Statistical analysis of remote sensing eco-environmental techniques under land use and land cover constraints: a case study of Blida Province, Algeria. Acta Geophys. (2025). https://doi.org/10.1007/s11600-025-01673-8 https://link.springer.com/article/10.1007/s11600-025-01673-8
August 2, 2025
The Remote Sensing Ecological Index (RSEI) is widely used to assess environmental quality, yet the influence of weighting methods and land cover types on its outputs remains underexplored. Based on