Source: WRI (World Resources Institute) Forest Atlas

Based on: A. Verhegghen, P. Defourny, "A new 300 m vegetation map for Central Africa based on multi-sensor times series", Third Recent Advance in Quantitative Remote Sensing, J.A. Sobrino (Ed.), Publicaciones de la Universitat de Valencia,Valencia, Spain, 2010.608 Vegetation types of 8 countries in Central Africa have been mapped thanks to a semi-automatic processing method based on temporal and spectral information from 19 months of ENVISAT MERIS FRS observation and 8 years of SPOT VEGETATION time series. The approach is based on a previous 1-km mapping effort for the Democratic Republic of Congo and on the lessons learnt from the ESA-GlobCover project. A land cover map with 20 vegetation classes was produced in five major steps: data compositing, seasonal stratification of the study zone, unsupervised classifications, automatic labelling and manual editing. The floristic composition and physiognomy of each vegetation type are described using the Land Cover Classification System developed by the FAO. This mapping exercise will be a reference document to deliver area estimates of the different forest types in a consistent way for DRCongo, Gabon, Cameroon, Equatorial Guinea, Central African Republic, Congo, Rwanda and Burundi. For the display of the NFMS portal, the original data has been reprojected to "latlong" projection, cropped, and masked for the area of the DRC.

Based on: Global Ecoregions, Major Habitat Types, Biogeographical Realms and The Nature Conservancy Terrestrial Assessment Units as of December 14, 2009. Developed originally by Olson, D. M. and E. Dinerstein (2002), Bailey (1995) and Environment Canada (Wiken, 1986), and modified by The Nature Conservancy (TNC). Ecoregions are relatively large units of land containing distinct assemblages of natural communities and species, with boundaries that approximate the original extent of natural communities prior to major land-use change. Ecoregions are nested within two higher-order classifications: biomes (14) and biogeographic realms (8). Source: WWF

Source: Atlas of forest cover and change 2000-2010 in the Democratic Republic of the Congo, FACET – Initiative for remote sensing forest monitoring in Central Africa. Prepared by: Observatoire satellital des forêts d’Afrique centrale (OSFAC), South Dakota State University (SDSU), University of Maryland (UMD), © OSFAC, 2010. Source: FACET

The dataset is based on the "Atlas of forest cover and change 2000-2010 in the Democratic Republic of the Congo”, produced as a part of the OSFAC initiative “Monitoring the forests of Central Africa using remotely sensed data sets” (FACET in French). The FACET forest classification provides a thematic simple map of relatively few forest cover types. Mapping the occurrence and type of forest cover change is the first step in identifying and analyzing the drivers of deforestation such as agriculture, logging and charcoal production. Citation information for the data Prepared by: Observatoire satellital des forêts d’Afrique centrale (OSFAC), South Dakota State University (SDSU), University of Maryland (UMD), © OSFAC, 2010.

Based on: SRTM 90m Digital Elevation Data, version 4, derived by CGIAR-CSI GeoPortal. Source: CGIAR

Source: WRI (World Resources Institute) Forest Atlas

Source: WRI (World Resources Institute) Forest Atlas

National boundaries and administrative units at first and second level. Source: WRI (World Resources Institute) Forest Atlas

Source: WRI (World Resources Institute) Forest Atlas