Knowledge of information related to land use and land cover in a region is necessary for urbanization projects, sustainable development and natural risk management, particularly floods. The aim of this article is to explore the use of Artificial Intelligence techniques and the combination of multi-sensor images to map land use and land cover in the Marahoué region. To this end, the Deep Forest algorithm is used as the main classifier. Its construction required the use of three common classifiers Extreme Gradient Boosting (XGB), Random Forest (RF) and Extra Tree (ET). Three Deep Forest models (DF-XGB; DF-RF; DF-ET) were developed and optimized to guarantee optimum accuracy. These DF models were then compared with four (04) classifiers commonly used in land use studies (RF, XGB, CNN, CART). The results indicate that the DF-XGB model outperformed all conventional classifiers by over 96%, confirming the relevance of integrated approaches mobilizing multi-sensor data, spectral indices and advanced classifiers. The predominance of cultivated land, the regression of forest formations and the localized presence of wetlands identified by the DF-XGB model, reflect the ongoing dynamics of anthropization. This approach thus offers a powerful tool for environmental monitoring, sustainable community management and flood risk prevention in the Marahoué watershed.

To meet this need for permanent water availability for rural populations in the departments of Bouna and Doropo in Bounkani, Côte d’Ivoire (north-east), this study set out to identify ten sites for the installation of future boreholes designed to boost the production of water for human consumption. Five (05) panels of electrical resistivity tomography (ERT) were carried out using a Syscal-Pro Switch 36 resistivity meter (Iris Instruments, France) connected to 04 flutes of 36 metal electrodes regularly spaced 10 metres apart by 1070 m according to the pole-dipole (PD) configuration. The results identified conductive corridors within the crystallophyll basement, corresponding to fractures oriented preferentially E-W, NE-SW and NW-SE. The 2D electrical resistivity tomography panels also reveal a structure composed of two layers (alterites and fissured zone) superimposed on the sound bedrock. Hydrogeological analysis of lithological variations and geometric parameters of structural discontinuities (thickness of alterites, thickness, range of electrical resistivities and extension of fissured zone) have led to the proposal of eleven (11) sites suitable for the installation of high-volume boreholes. These future drilling points will help to alleviate the shortage of drinking water in the targeted localities in the area.