Search

Geomatic tools could be used efficiently for urban development planning. The problem of the study lies in the extensive land use of terrains that are now suitable for heavy construction which slows down the development of new facilities. Furthermore, the authorities are forced to plan future settlements around Setif, at a distance of 8 to 12 kilometers from the city limits, threatening the long-term viability of construction and the ring of farmland that connects them to the core city. This must be done during the planning stage based on a diachronic analysis of all the natural and physical factors/parameters. The main objective of this research is to explore the application of landscape metrics to the analysis and monitoring of urban growth in the city of Setif, north-east of Algeria. For this purpose, our research paper uses Geographic Information System (GIS) and Remote Sensing (RS) techniques based on Principal Component Analysis (PCA) and the Angle Mapper Algorithm (SAM) target method for the analysis of urban land planning and sustainable urban planning of Setif. In the result of these analyses we propose suitability/buildability maps with more suitable construction sites. The research method is based on a 17-year time series dataset compiled from the Sentinel 2A and Landsat imagery between 2004 and 2021. Additionally, we used a cadastral Vs geotechnical overlay to estimate soil capacity. This work proves again that the integration of RS and GIS techniques allows for scientific identification of the lands suitable for urban development (LAUP). [ABSTRACT FROM AUTHOR]

The study presented herein proposes a multi-criteria decision-making tool to identify flood susceptibility areas on a regional scale. The adopted approach is based on the integration of multi-criteria analysis, geographical information systems (GIS) and remote sensing (RS) techniques. Accordingly, flood susceptibility maps were prepared depending on information from six flood-conditioning factors namely Rainfall, Elevation, Slope, Land use/cover, Soil type, and Distance from the river. The relative importance of each factor on the flood susceptibility was assigned based on experts' judgements and then connected to weight values. Two techniques were employed for weight calculation; the analytical hierarchy process (AHP) and the Fuzzy analytic hierarchy process (FAHP). The presented approach was applied to the Biskra basin, located north-eastern Algeria at the Sahara limits. The obtained maps indicate flood susceptibility areas, with high and very high flood susceptibility, mainly occurring at the northern areas of the basin which receive more rainfall, and also in urban areas all over the basin close to drainage networks. The performances of the two models were evaluated using the receiver operating characteristic (ROC) curve and the area under the curve (AUC) by comparing the obtained maps to an inventory map of past flood events. The evaluation results indicated that both the AHP and the FAHP models were found to be suited in predicting flood prone areas in the Biskra basin with AUC values of 93,61% and 96,61% respectively. Nevertheless, the FAHP model is preferred due to its ability to minimize vagueness and uncertainty associated with human judgements. [ABSTRACT FROM AUTHOR]