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Settlements (DR Congo)
Source: WRI (World Resources Institute) Forest Atlas Contact points: Metadata Contact: Stefano Giaccio Resource Contact: World Resources Institute (WRI) Resource Contact: Inge... -
Country boundaries (DR Congo)
National boundaries. Source: WRI (World Resources Institute) Forest Atlas Contact points: Metadata Contact: Stefano Giaccio Resource Contact: World Resources Institute (WRI)... -
Administrative units (DR Congo, Territoire, Province, Secteur)
National boundaries and administrative units at first and second level. Source: WRI (World Resources Institute) Forest Atlas Supplemental Information:... -
Roads (DR Congo)
Source: WRI (World Resources Institute) Forest Atlas Contact points: Metadata Contact: Stefano Giaccio Resource Contact: World Resources Institute (WRI) Resource Contact: Inge... -
Fire 2011 (DR Congo)
Total number of fire occurrences, calculated using data from the MODIS satellite (products MOD14A2 and MYD14A2, "Thermal Anomalies and Fire",... -
Ecoregions (DR Congo)
Based on: Global Ecoregions, Major Habitat Types, Biogeographical Realms and The Nature Conservancy Terrestrial Assessment Units as of December 14, 2009. Developed originally by... -
REDD+ Projects (DR Congo)
A series of activities aiming to modify the dynamics of deforestation and/or forest degradation and/or to increase forest carbon stocks, within a delimited geographical area, in... -
Landsat (DR Congo)
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... -
FACET-Forest Classification (DR Congo - 60 m)
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... -
UCL-Forest Classification (DR Congo)
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... -
Provinces (DR Congo)
Source: WRI (World Resources Institute) Forest Atlas Contact points: Metadata Contact: Stefano Giaccio Resource Contact: World Resources Institute (WRI) Resource Contact: Inge... -
Hydrography (DR Congo)
Source: WRI (World Resources Institute) Forest Atlas Contact points: Metadata Contact: Stefano Giaccio Resource Contact: World Resources Institute (WRI) Resource Contact: Inge... -
Protected Areas (DR Congo)
Source: WRI (World Resources Institute) Forest Atlas Contact points: Metadata Contact: Stefano Giaccio Resource Contact: World Resources Institute (WRI) Resource Contact: Inge... -
Hillshade (DR Congo)
Based on: SRTM 90m Digital Elevation Data, version 4, derived by CGIAR-CSI GeoPortal. Source: CGIAR Contact points: Metadata Contact: Stefano Giaccio Resource Contact: Inge... -
FAO Land Cover Legend Registry (LCLR)
Land cover (LC) information has been playing an important role in the achievement of Sustainable Development Goals (SDGs). Maintaining and restoring land resources can play a... -
Food Insecurity, Poverty and Environment Global GIS Database
The FGGD Digital Atlas consists of more than 100 global maps that allows to analyse food insecurity and poverty in relation to environment. It is subdivided into 6 modules as... -
The State of the World’s Forest (SOFO)
“The State of the World’s Forests” (SOFO) FAO publication presents data and analysis on the interaction between forests and people every two years, with a focus on a specific... -
Tree Proximate People
The "Tree Proximate People" (TPP) dataset provides 4 different estimates of tree proximate people, all of them for the year 2019 with a spatial resolution of 100 meters at a... -
Tree proximate people – Croplands, 1km cutoff distance (Global - 100m)
The "Tree Proximate People" (TPP) dataset provides an estimate of the number of people living in or within 1 kilometer of trees outside forests (forest-proximate people)... -
Tree proximate people – Agricultural lands, 500m cutoff distance (Global - 100m)
The "Tree Proximate People" (TPP) dataset provides an estimate of the number of people living in or within 500 meters of trees outside forests (forest-proximate people)...
