Analysis and consolidation of results on estimates of forest cover area and changes between 2000 and 2016 in the Republic of the Congo

Accurate and consistent reporting on forest cover and land use / cover changes is crucial in the post-Paris agreement context where countries are obliged to regularly submit their reports on the greenhouse gas balance of emissions and removals. This reporting of changes can have a direct impact on payments through comparisons with national reference (emission) levels in the context of reducing emissions from deforestation and forest degradation, particularly as part of the REDD+ process (Reducing emissions from deforestation and forest degradation). However, before doing so, countries are invited to strengthen their national forest monitoring system and also to produce map products that comply with robust methods for assessing the uncertainty of forest cover change estimates as prescribed by UNFCCC (United Nations Framework Convention on Climate Change). In this study, we present the results of the accuracy of the numerous forest maps available in Congo using a new method developed by SIRS and adapted to the context of the Republic of Congo. The results of the study show an underestimation of nearly 50% of forest losses in the period between 2000 and 2014 either by the direct estimation method or by regression estimates. Comparison of the two methods shows that the estimates of forest cover losses by the sample point method underestimates the estimate of losses over the period 2000-2014 as well as over the period 2014-2016. We conclude that there is a need to strengthen the national teams in charge of forest mapping, but also that the method by Sannier et al. 2014 should be adopted for the evaluation of precision.