The DRC National Forest Monitoring system (NFMS) is being developed by the DRC government in collaboration with the Food and Agriculture Organization of the United Nations (FAO of the UN) and the Brazilian National Institute for Space Research (INPE), with financial support from the UN-REDD programme. It is developed in response to the relevant REDD+ decisions of the United Nations Framework Convention on Climate Change (UNFCCC), in particular the Decision 1/CP.16, which requests developing country Parties that undertake REDD+ activities to develop a robust and transparent national forest monitoring system for the five REDD+ activities. These activities are: deforestation, forest degradation, forest conservation, sustainable management of forests and enhancement of forest carbon stocks.
The DRC NFMS brings together data from many sources, as acknowledged in the description of each respective data layer, and aims to combine them into a forest management tool related to REDD+ specifically and more generally on the DRC's forests policies and measures. The Ministry of Environment, Conservation of Nature and Tourism is extremely grateful to various partners (USAID, CARPE, UMD, OSFAC, WRI, Greenpeace International, UCL, WWF, OFAC) for providing their datasets to the DRC NFMS. In particular, the Ministry of Environment, Conservation of Nature and Tourism wishes to thank the FACET partners (USAID, CARPE, UMD, OSFAC) for providing key data on forest cover loss for the period of 2000-2010.
The DRC NFMS is a dynamic data source since data is constantly being processed and feedback from various national and international partners is being incorporated. The DRC government has presented a 'full' version at the 18th Conference of the Parties (COP18) in December 2012, when it has incorporated a first set of official, national annual deforestation statistics. The Portal is built on open source projects, notably OpenLayers, JQuery, HighCharts (client). The mapping team in DIAF, DRC just finished also the first national mapping effort. This data will be made available soon.
Statistical treatment errors may occur; values reported here are indicative and related to the information provided by the cooperating partners, please take note that no independent quality control and quality insurance has taken place at this stage.