The different forest ecosystems of the RDC have been affected by the dynamics of the soil occupation during these last decades, characterized by a clean reduction of the natural formations to the profit of the formations anthropiques. The studies achieved on this day limited themselves to an analysis diachronique by the integrated approaches implying the techniques of spatial analysis combined to the geographical information system (SIG). Setting to part the analysis diachronique of the imagery LANDSAT TM, ETM+ and OLI (of parth and Raw 177-59, 1766-59 and 176-60) spreading of years 1986 to 2015 and supported of direct observations, the present survey sketches a prospective analysis of this dynamics while combining the applicable variables of the changes and the deterioration of the forests to a test of modelling to the deadline 2065. The variables have been regrouped in 7 subgroups: agriculture, lumbering, infrastructures, the demographic factors, the socio-politic factors, the economic factors and the biophysical factors. Nevertheless, only the variables spatially explicit have been quantified and steady to the models. For the rest, two tools of modelling (CA_Markov and LCM) have been used and the best allowed of cartographier the risks of deforestation the deadline 2065; the modelling has been made to the scale of the reserve of biosphere of Yangambi. For the two models a based objective and quantitative approach on the budgeting of the mistakes and the correct predictions has been adopted finally. The results show a meaningful regression of the forest formations to the profit of the classes anthropisées with rates of deforestation of 1986-2002 and 2002-2015 of 1,1% and 4,31% and respectively. These reports come proved the necessity of the setting in application of a planning plan in view of the lasting management. The visual and statistical comparison of the affected and real cards of 2015 allowed to use the tool THAT Markov for the simulation of the variation in surface of the classes of soil occupations the deadline 2065. However, the omen of an alarming and continual regression if some consequent measures are not set in motion.

This survey is based on the assessment by remote detection of the deforestation in the forest region of Masako in Kisangani (RDC), it aims to quantify the dynamics of the soil occupation while using the techniques of the cartography by remote detection as well as those of the systems of geographical information. We had used of the Landsat pictures TM p176r060 of January 1990 and March 2001, to make the cartography of the soil occupation, the method of the post-classifications has been used, six classes have been kept in order to apply a SIG under Arcgis 10, The matrix of confusion has been used to validate the results of the classification, the matrix of transition and the yearly rate of deforestation, have been used to quantify the fragmentation of the forest landscape. Of the gotten results, the methods prove that him ya had a change in the occupation of soil of it spaces it of 11 years. So while comparing the gotten results, we noted that the forest landscape is in full change in Kisangani. Fragmentation remains intense for the classes of the dense forests and the secondary drill. The dominant class is the one of the fields and fallows.