Population growth and human activities have negatively affected the vegetation cover in Côte d'Ivoire. The objective of this study is to analyse the land cover dynamics around the Taabo Dam from 1988 to 2017 and from 2017 to 2050. Landsat satellite data from 1988, 2002 and 2017 were used. Supervised maximum likelihood classification and Pontius intensity analysis were applied. It was found that global change was most rapid from 2017 to 2050. Losses and gains of water and bare soil are dormant while those of the other classes are active during the first-time interval. During the second time interval, the gain of crop and fallow and bare soil will be active but their loss will be dormant. Water will have dormant gains and losses while grassy savannah and shrubland will have active gains and losses. The gain from crops and fallows targets bare soil and habitats, shrub and grass savannah but avoids water. However, the gain in bare soil and habitats targeted crop and fallow land and grassy savannah, but avoided water and shrub savannah in both intervals.

Wildfires issues are part of a global problem. In Côte d'Ivoire, these phenomena are recurring and reduce, by the degradation of plant cover, crop yield. Official reports indicate each year many cases of wildfires in Zanzan with their impact on the local economy and human settlements. The present study aims to analyze the climatic conditions that trigger these lights for, identify critical thresholds of climate parameters in question to help prevent against this disaster. From data of ESA satellites ERS-1 and ENVISAT, the descriptive statistics and correlation analysis were used to conduct the study. The results show that during the year, vulnerable periods of wildfires go from december to March with an early occurrence in Bouna. They also show a strong dependence of fire with climatic conditions including high temperatures, low air and soil humidity and easterly dry wind regime. El Nino conditions are also critical for local fire occurrence in the district. Critical thresholds for triggering fires in Zanzan can be summarized by above 30 degrees Celsius for temperatures, below 40 percent for air relative humidity and less than 5 mm for the soil moisture. The analysis of the Angstrom index shows that this indicates is appropriate for characterize fire danger in the District Zanzan.

Epidemiological monitoring integrating spatial and temporal dimension, geographical information systems (GIS) appear as a management tool, planning tool, and Support Tool Decision of sanitary policies. This study aims to map cholera sanitary risk in order to improve its monitoring due to better fight against the disease in Abidjan. The combination, of multi-sources data (QUICKBIRD satellite image, socio-environmental survey results and epidemiological data) in a GIS was used to analyze the sanitary environment in precarious settlements and the spatial pattern of confirmed cases of cholera over the period 2011-2012. This analysis was done using environmental and socioeconomic characteristics that influence vulnerability to cholera and to categorize households according their vulnerability indexes. Analysis of the results shows that all households are vulnerable to cholera with a high index ranging between 2.5 and 3.5 on a scale from 0 to 5. Boribana and Divo have respective indexes 3.07 and 3.05 followed by Mossikro and Zimbabwe each with 2.94 and 2.92. Bromakot

The aim of this in this research work is to present an innovative approach to classification of satellite images based on Markov Random Field, MRF. Markov models are used both on single-band and multi-band images and have the advantage to take into account the spatial context in the process of the classification of multispectral images. This leds to the integration of interactions between different pixels and to extract the maximum information contained in satellite images including textures. In this research work, the classification by Markov Random Fields was applied respectively on the colored composites of the first three principal components of multispectral images Landsat TM from 1986 ,ETM + from 2003 and OLI from 2014 of the department of Sinfra containing respectively 94,7% , 97,4% et 98,4 % of the information. Markov Random Field correctly discriminate the different classes of land use with a Kappa coefficient higher than 0.8 : 0.86 for TM images, 0.91 for ETM + and 0.9 for OLI images.

The present study deals with the spatial and temporal variability of the climatic parameters and their consequence on the drying up of streams B

The climate variability has affected pejoratively the groundwater recharge in Soubre area. Thus, the simulation of surface flows is an answer to the problematic of water supply in the area. The aim of this study is the simulation of surface flows in Debo catchment by estimating flood flows.
The methodology is based on the application of morphological transfer function (MTF) of DEMIURGE software (Digital Elevation Model In Urgency). It consisted of the determination of fractal parameters related to water systems, the estimation of maximum flow at the outlet, the study of the sensitivity of the simulated hydrographs based on the simulation time step.
The results show that the reference time is t = 20 minutes. For simulation times different from t = 20 minutes, the geomorphologic pulse histograms (GPH) do not fit the times transfer frequency histogram. The specific flow at the outlet of the catchment is 3.394 m³.s^-1 for a rise time of 31.33 hours under the assumption of a uniform effective rainfall of 1 mm. The maximum flows simulated evolve with the rainfall blade and the rushed water. For a blade of 188.08 mm past, the maximum flow rate is at least 634.111 m³.s^-1. For a rise time of 33 h 20 minutes, the volumes assessed are estimated at 1.06.10⁸ m³.