The layer provides quantitative information about the inhabitants main points in the different countries for the ECOWAS region

The resource was developed by CENER (The National Renewable Energy Center, Spain) for ECREEE. High resolution data of 1km x 1km developed using Numerical Weather Prediction (NWP) model from hourly meteorological weather files of over 10 years. Dataset is provided in raster format (.geotiff) at a resolution of 1 km. It ranges from 1200 to 2800 KWh/m2/year. Around 87% of the total surface of the ECOWAS region has long term annual DNI values greater than 1800 KWh/m2.

Data provides information about novel potential bio-energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries. The project “Regional potential assessment of novel bio energy crops in fifteen ECOWAS countries” was started by the different project partners (ECREEE, UNIDO and QUINVITA) based on the need to make an overall assessment of a series of novel potential bio energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries. This project fits in a broader strategic analysis of alternative energy needs and production, the key mandate of the mainfunding partner in the project, ECREEE. The project partners deliberately excluded conventional “bio energy” crops like sugarcane, oil palm, maize or sunflower as target crops, since they believed a sufficient knowledge base on the growing and processing crops was available globally and in the region. The novel bio energy crops chosen as targets for the study are a selection of crops for which either the agricultural knowledge is still limited and/or the use of the crop as an energy source is relatively new. The project team realizes that the list of selected crops is not an exhaustive list of potential bio energy crops and other novel crops may have a potential in the region. The project will develop a methodology that can be followed in the future for analyzing the potential of other crops and does not want to exclude this analysis in the future. The crops that have been selected for analysis in this project are: False Flax (Camelina sativa), Crambe (Crambe abyssinica), Cassava (Manihot esculenta), Castor bean (Ricinus communis), Cashew (Anacardium occidentale), Groundnut (Arachis hypogaea), Jatropha curcas and sweet sorghum (sweet version of Sorghum bicolor).

The resource was developed by NEXANT (EEUU) for ECREEE.using 3TiER global solar dataset with an annual temporal resolution. The project was funded by USAID. This parameter is of particular interest to photovoltaic installations and includes both Direct Normal Irradiance (DNI) and Diffuse Horizontal Irradiance (DIF). The format is raster (.geotiff) and the resolution is 3km.

National administrative boundaries of ECOWAS countries: Benin, Burkina Faso, Cabo Verde, Côte d'Ivoire, Gambia, Ghana, Guinea, Guinea Bissau, Liberia, Mali, Niger, Nigeria, Senegal, Sierra Leone and Togo

The Africa land cover map is a regional component of the GLC2000 exercise, conceived and coordinated by the European Commission’s Joint Research Centre. From the Africa land cover map, which is a regional component of the GLC2000 exercise, conceived and coordinated by the European Commission’s Joint Research Centre. The GLC2000 maps are based on daily observations made from 1st November 1999 to 31st December 2000 by the VEGETATION sensor on the SPOT 4 satellite. Legend- definition of the Gray index value: -11: post-flooding or irrigated croplands -14: rainfed croplands -20: mosaic cropland (50-70%) / Vegetation (grassland, shrubland, forest) (20-50%) -30: mosaic vegetation (grassland, shrubland, forest) (50-70%) / cropland (20-50%) -40: closed to open (>15%) broadleaved evergreen and/or semi-deciduous forest (>5m) -50: closed (>40%) broadleaved deciduous forest (>5m) -60: open (15-40%) broadleaved deciduous forest (>5m) -70: closed (>40%) needleleaved evergreen forest (5m) -90: open (15-40%) needleleaved deciduous or evergreen forest (5m) -100: closed to open (>15%) mixed broadleaved and needleleaved forest (>5m) -110: mosaic forest / shrubland (50-70%) / grassland (20-50%) -120: mosaic grassland (50-70%) / forest/shrubland (20-50%) -130: closed to open (>15%) shrubland (<5m) -140: closed to open (>15%) grassland -150: sparse (>15%) vegetation (woody vegetation, shrubs, grassland) -160: closed (>40) broadleaved forest regularly flooded- fresh water -170: closed (>40%) broadleaved semi-deciduous and/or evergreen forest regularly flooded- saline water -180: closed to open (>15%) vegetation (grassland, shrubland, woody vegetation) on regularly flooded or waterlogged soil- fresh, brackish or saline water -190: artificial surfaces and associated areas (urban areas >50%) -200: bare areas -210: water bodies -220: permanent snow and ice

The resource was developed by NEXANT (EEUU) for ECREEE using 3TiER global dataset. The methodology is explained in the resource below available for downloading. Dataset is available in raster format (.geotiff) with a resolution of 3,5 km.

Main water areas in the ECOWAS region extracted from the DIVA-GIS project

The Global Environmental Facility Strategic Program for West Africa (GEF-SPWA), The ECOWAS Renewable Energy Facility (EREF) for Peri-urban and Rural Areas, The ECOWAS Renewable Energy Investment Initiative (EREI), The ECREEE projects and the non-initiative projects consist on a series of Investment Promotion Projects for the renewable energy development in the ECOWAS region

Climate suitability map for Jatropha curcas for the ECOWAS region. The purpose is providing information about novel potential bio-energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries. The project “Regional potential assessment of novel bio energy crops in fifteen ECOWAS countries” was started by the different project partners (ECREEE, UNIDO and QUINVITA) based on the need to make an overall assessment of a series of novel potential bio energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries. This project fits in a broader strategic analysis of alternative energy needs and production, the key mandate of the mainfunding partner in the project, ECREEE. The project partners deliberately excluded conventional “bio energy” crops like sugarcane, oil palm, maize or sunflower as target crops, since they believed a sufficient knowledge base on the growing and processing crops was available globally and in the region. The novel bio energy crops chosen as targets for the study are a selection of crops for which either the agricultural knowledge is still limited and/or the use of the crop as an energy source is relatively new. The project team realizes that the list of selected crops is not an exhaustive list of potential bio energy crops and other novel crops may have a potential in the region. The project will develop a methodology that can be followed in the future for analyzing the potential of other crops and does not want to exclude this analysis in the future. The crops that have been selected for analysis in this project are: False Flax (Camelina sativa), Crambe (Crambe abyssinica), Cassava (Manihot esculenta), Castor bean (Ricinus communis), Cashew (Anacardium occidentale), Groundnut (Arachis hypogaea), Jatropha curcas and sweet sorghum (sweet version of Sorghum bicolor).