Assessment of <scp>Sentinel‐2A</scp> images for estimating rosemary land cover through an object‐based image analysis approach

Abstract Rosemary is a medicinal plant widely used in the food and pharmaceutical industry. In Morocco, rosemary harvesting generates significant benefits for local economy. Even though, decision makers are short of accurate information about its geographical distribution area. The aim this study to delineate shrubs Oriental region Morocco order provide guidance sustainable use these natural resources. We therefore freely available images Sentinel‐2A binary classification (rosemary other lands) through an object‐based image‐analysis approach. random forest classifier was deployed trained with different object features likewise spectral values vegetation indices. As result, area 240,747 ha, which represents 18% studied Besides, encouraging overall accuracy 94.24% attained; user's class “rosemary” “Others” 93.3% 95.0%, respectively; meanwhile, producer's 93.72% 94.65%.