Optik 139 (2017) 61–71 Contents lists available at ScienceDirect Optik journal homepage: www.elsevier.de/ijleo Original research article Analysis of bitemporelles images to follow-up the flooding phenomenon in the western high plains of Algeria Abdelhalim Guerroudj a,b,* , Mohamed Hadeid a,d , Akram Seddiki c a Geography Department, Oran2 University, Oran, Algeria b Amar Telidji University, Laghouat, Algeria c Geomatics Laboratory, Space Technics Center, Arzew, Algeria d Research Laboratory EGEAT, Oran 2 University, Oran, Algeria a r t i c l e i n f o Article history: Received 31 December 2016 Accepted 13 March 2017 Keywords: High plains Floods Spatiotemporal Geographic Information System "GIS" Analytic Hierarchy Process "AHP" Estimated model Urban space a b s t r a c t In these last decades, the High Plains Steppe of Algeria have been marked by an intense degradation affecting the land, due to several factors such as the floods. The proposed solutions that allow to combat these phenomena and retain the nature of these areas remain inadequate due to the absence of identification model, tracking and flood forecasting. This article shows the results of the spatiotemporal study of parameters that define the natural phenomena geography, in other words, it is the first time where, the follow-up spatiotemporal aggravating factors the flood, then see their effects on the map of the risk hazard. The algorithmic diagram of our study focuses on the development and the application of techniques for the purpose of the characterization and monitoring of the spatio-temporal dynamics of environmental systems at the watershed scale “wadielbiodh”, in order to inte- grate the spatial data and maps in Geographic Information System (GIS) that will allow to establish or implement a forecasting model which helps in the protection of the urban space and to anticipate the intervention of local authorities. © 2017 Elsevier GmbH. All rights reserved. 1. Introduction The multi-time satellite imagery used to develop dynamic flood risk maps and track geographically risks, that contribute in damages attenuation according to these disasters. The availability of satellite data, the repetitiveness of their acquisition, and the analysis of the images multi-temporal have helped to expand the applications of remote sensing to include the surface earth change detection and the follow-up of the dynamic phenomena [4]. Detection of change in remote sensing is a process that identifies differences states of an object or phenomenon by carrying out observations with several dates. It essentially involves the ability to quantify the temporal effects by using multi-date data [2]. The aim of this study is to develop a process application of characterization techniques and monitoring of the spatio- temporal dynamics of environmental systems at the watershed scale of “wadielbiodh”, the combination of Geographic * Corresponding author at: Geography Department, Oran2 University, Oran, Algeria. E-mail addresses: a.guerroudj@lagh-univ.dz, guerrtaph@yahoo.fr (A. Guerroudj), hadeid009@yahoo.fr (M. Hadeid), akramcnts@yahoo.fr (A. Seddiki). http://dx.doi.org/10.1016/j.ijleo.2017.03.047 0030-4026/© 2017 Elsevier GmbH. All rights reserved.