In Mayotte, the agricultural land use is only partially known, due to very little GPS plot sampling, while an exhaustive mapping would be needed for decision support. Farms are very small (<0,5ha) and based on associated crops, orchards, and agroforestry. More than 40% of their production is for local livelihood. Pléiades' VHSR images thus appear as a relevant tool for the characterization of these production systems, provided that these images are acquired at different dates (dry season/rainy season) to better discriminate crops thanks to the agricultural calendar. Besides, the complexity of Mayotte's landscapes, dominated by the presence of various trees, requires developing a methodology which takes into account both the multi-temporal radiometry and the texture, but also the vegetation height. We therefore propose to test the capabilities of Pleiades' tri-stereoscopic mode to produce a reliable DSM usable in this context. The objective of this study is to assess the suitability of this type of data to a mapping base regularly updated. No image acquisition attempt during the rainy season was successful because of the heavy cloud cover. Only two images were acquired, respectively in July 2012 and April 2013. This latest, acquired in tri- stereoscopic mode, was issued as raw data in August 2013 due to production problems. The relevance of these two dates is weak because April and July correspond to the same phenological period of the vegetation; so there is little information related to the cycle differentiation between species. Finally, one year apart does not represent sufficient development in terms of land cover nor land use dynamics. Moreover, the data late provision did not allow us to achieve all the processes and get any result. The prospects of this study are thus to implement: The assessment of the capacity of deriving the DSM from the tri- stereoscopic images and the validity of this product. The production of a DEM derived from Pléiades-DSM, followed