Detecting Slums from SPOT Data in Casablanca Morocco Using an Object-Based Approach
Casablanca, Morocco’s economic capital continues today to fight against the proliferation of informal settlements affecting its urban fabric illustrated especially by the slums. Casablanca represents 25% of the total slums of Morocco. These are the habitats of all deprived of healthy sanitary conditions and judged precarious from the perspective of humanitarian and below the acceptable. The majority of the inhabitants of these slums are from the rural exodus with insufficient income to meet the basic needs of daily life. Faced with this situation and to eradicate these habitats, the Moroccan government has launched 2004 an entire program to create cities without slums (C.W.S.) to resettle or relocate families. Indeed the process control and monitoring of this program requires first identifying and detecting spatial habitats.
To achieve these tasks, conventional methods such as information gathering, mapping, use of databases, and statistics often have shown their limits and are sometimes outdated. It is within this framework and that of the great German Morocco project “Urban agriculture as an integrative factor of development that fits our project detecting slums in Casablanca. The use of satellite imagery, particularly the HSR, has the advantage of providing the physical coverage of urban land but it raises the difficulty of choosing the appropriate method to apply.