Abstract
In Morocco, olive groves are a predominant feature of many agricultural landscapes, resulting from both a long agricultural history and more recent national programs such as the Green Morocco Plan Plan Maroc Vert. Within this context, the ClimOliveMed and Future for Olive projects aimed to test a deliberative approach involving scientists, farmers, and olive sector stakeholders to identify desirable solutions and future scenarios for olive cultivation. From an environmental perspective, the project pursued two main objectives: (i) to identify the different types of olive groves, and (ii) to assess whether environmental factors such as -- topography -- influence their spatial distribution. Using very high resolution Pléiades satellite imagery 2023, we developed a methodology combining supervised classification with spatial analysis based on geometric features, in order to map the different types of olive groves and examine the correlation between topography and the distribution of olive cultivation. For this study, we focused on the site of Bni Quolla (covering an area of 192 km²) as a pilot site to validate the method prior to its application at the scale of the Ouezzane province.