Mediterranean ecosystems constitute one of the world's biodiversity hotspots, and are currently going through a major biome crisis. Open habitats such as meadows, grasslands and wetlands are of high ecological interest, yet they are undergoing profound changes in structure by progressive closing of the landscape, caused by changes in traditional management practices. Thus, it is imperative to be able to monitor and quantify changes in landscape closure, including rates of change, structural and functional changes at different scales in the landscape. The recent arrival of new satellite sensors, such as Spot 6/7, and the improved accessibility of remote sensing data through the Theia Land Data Center, provides the opportunity to develop new methods and services derived from these images. We assessed and measure the degree of openness of natural open habitats from Mediterranean landscapes in Southern France. The cover fraction of three types of land covers (grass, shrubs, and trees) was determined using a textural approach on Spot 6/7 satellite sensor images. Different methods were investigated. A statistical approach on the grey level of the images with the use of Haralick indices permitted to segregate open habitats from close ones. But this method was limited in the case of “mixed habitats” and showed poor results when trying to establish a closure gradient. Better results were found using a method based on a frequential analysis of the images. Both closure gradient and “coarseness” of the habitats have been assessed with more accuracy than the previous methods. These results show that it is possible to monitor landscape closure at broad scale, using optical remote sensing data. This information constitute an important first step towards finer characterisation of habitats that can be performed with complementary sources of remote sensing data with appropriate temporal or spectral characteristics.