This map is part of the UAE solar atlas developed by the Research Center for Renewable Energy Mapping and Assessment (ReCREMA) at Masdar Institute in Abu Dhabi. The UAE solar atlas utilizes satellite imagery through a robust ANN model to map the solar potential across the country. Estimated irradiance is subsequently validated against independent ground data. Direct normal irradiance (DNI), diffuse horizontal irradiance (DHI) and global horizontal irradiance (GHI) are produced at a 3 km spatial resolution and in a near real-time manner (updated every 15 min). Hourly, daily, monthly and yearly irradiation maps for all three components are derived as the final product. The UAE Solar Atlas report with a detailed explanation of the methodology and results is available at http://atlas.masdar.ac.ae/docs/ReCREMA_UAE_Solar Atlas_Report.pdf Relevant publications: Eissa, Y., Chiesa, M., Ghedira, H., Assessment and recalibration of the Heliosat-2 method in global horizontal irradiance modeling over the desert environment of the UAE, Solar Energy, Vol. 86, pp 1816-1825, 2012. Eissa, Y., Marpu, P., Gherboudj, I., Ghedira, H., Ouarda, T., and Chiesa, M., Artificial neural network based model for retrieval of the direct normal, diffuse horizontal and global horizontal irradiances using SEVIRI images, Solar Energy, Vol. 89, pp 1–16, 2013. Updated list of publications can be found at http://recrema.masdar.ac.ae/publications/

This map is part of the UAE solar atlas developed by the Research Center for Renewable Energy Mapping and Assessment (ReCREMA) at Masdar Institute in Abu Dhabi. The UAE solar atlas utilizes satellite imagery through a robust ANN model to map the solar potential across the country. Estimated irradiance is subsequently validated against independent ground data. Direct normal irradiance (DNI), diffuse horizontal irradiance (DHI) and global horizontal irradiance (GHI) are produced at a 3 km spatial resolution and in a near real-time manner (updated every 15 min). Hourly, daily, monthly and yearly irradiation maps for all three components are derived as the final product. The UAE Solar Atlas report with a detailed explanation of the methodology and results is available at http://atlas.masdar.ac.ae/docs/ReCREMA_UAE_Solar Atlas_Report.pdf Relevant publications: Eissa, Y., Chiesa, M., Ghedira, H., Assessment and recalibration of the Heliosat-2 method in global horizontal irradiance modeling over the desert environment of the UAE, Solar Energy, Vol. 86, pp 1816-1825, 2012. Eissa, Y., Marpu, P., Gherboudj, I., Ghedira, H., Ouarda, T., and Chiesa, M., Artificial neural network based model for retrieval of the direct normal, diffuse horizontal and global horizontal irradiances using SEVIRI images, Solar Energy, Vol. 89, pp 1–16, 2013. Updated list of publications can be found at http://recrema.masdar.ac.ae/publications/

This map is part of the UAE solar atlas developed by the Research Center for Renewable Energy Mapping and Assessment (ReCREMA) at Masdar Institute in Abu Dhabi. The UAE solar atlas utilizes satellite imagery through a robust ANN model to map the solar potential across the country. Estimated irradiance is subsequently validated against independent ground data. Direct normal irradiance (DNI), diffuse horizontal irradiance (DHI) and global horizontal irradiance (GHI) are produced at a 3 km spatial resolution and in a near real-time manner (updated every 15 min). Hourly, daily, monthly and yearly irradiation maps for all three components are derived as the final product. The UAE Solar Atlas report with a detailed explanation of the methodology and results is available at http://atlas.masdar.ac.ae/docs/ReCREMA_UAE_Solar Atlas_Report.pdf Relevant publications: Eissa, Y., Chiesa, M., Ghedira, H., Assessment and recalibration of the Heliosat-2 method in global horizontal irradiance modeling over the desert environment of the UAE, Solar Energy, Vol. 86, pp 1816-1825, 2012. Eissa, Y., Marpu, P., Gherboudj, I., Ghedira, H., Ouarda, T., and Chiesa, M., Artificial neural network based model for retrieval of the direct normal, diffuse horizontal and global horizontal irradiances using SEVIRI images, Solar Energy, Vol. 89, pp 1–16, 2013. Updated list of publications can be found at http://recrema.masdar.ac.ae/publications/

Boundaries for primary school catchment areas excluding Roman Catholic schools

This map is part of the UAE solar atlas developed by the Research Center for Renewable Energy Mapping and Assessment (ReCREMA) at Masdar Institute in Abu Dhabi. The UAE solar atlas utilizes satellite imagery through a robust ANN model to map the solar potential across the country. Estimated irradiance is subsequently validated against independent ground data. Direct normal irradiance (DNI), diffuse horizontal irradiance (DHI) and global horizontal irradiance (GHI) are produced at a 3 km spatial resolution and in a near real-time manner (updated every 15 min). Hourly, daily, monthly and yearly irradiation maps for all three components are derived as the final product. The UAE Solar Atlas report with a detailed explanation of the methodology and results is available at http://atlas.masdar.ac.ae/docs/ReCREMA_UAE_Solar Atlas_Report.pdf Relevant publications: Eissa, Y., Chiesa, M., Ghedira, H., Assessment and recalibration of the Heliosat-2 method in global horizontal irradiance modeling over the desert environment of the UAE, Solar Energy, Vol. 86, pp 1816-1825, 2012. Eissa, Y., Marpu, P., Gherboudj, I., Ghedira, H., Ouarda, T., and Chiesa, M., Artificial neural network based model for retrieval of the direct normal, diffuse horizontal and global horizontal irradiances using SEVIRI images, Solar Energy, Vol. 89, pp 1–16, 2013. Updated list of publications can be found at http://recrema.masdar.ac.ae/publications/

This map is part of the UAE solar atlas developed by the Research Center for Renewable Energy Mapping and Assessment (ReCREMA) at Masdar Institute in Abu Dhabi. The UAE solar atlas utilizes satellite imagery through a robust ANN model to map the solar potential across the country. Estimated irradiance is subsequently validated against independent ground data. Direct normal irradiance (DNI), diffuse horizontal irradiance (DHI) and global horizontal irradiance (GHI) are produced at a 3 km spatial resolution and in a near real-time manner (updated every 15 min). Hourly, daily, monthly and yearly irradiation maps for all three components are derived as the final product. The UAE Solar Atlas report with a detailed explanation of the methodology and results is available at http://atlas.masdar.ac.ae/docs/ReCREMA_UAE_Solar Atlas_Report.pdf Relevant publications: Eissa, Y., Chiesa, M., Ghedira, H., Assessment and recalibration of the Heliosat-2 method in global horizontal irradiance modeling over the desert environment of the UAE, Solar Energy, Vol. 86, pp 1816-1825, 2012. Eissa, Y., Marpu, P., Gherboudj, I., Ghedira, H., Ouarda, T., and Chiesa, M., Artificial neural network based model for retrieval of the direct normal, diffuse horizontal and global horizontal irradiances using SEVIRI images, Solar Energy, Vol. 89, pp 1–16, 2013. Updated list of publications can be found at http://recrema.masdar.ac.ae/publications/

Combined product of Water body ammonium based on DIVA 4D 10-year analysis on five regions : Northeast Atlantic Ocean, North Sea, Baltic Sea, Black Sea, Mediterranean Sea. The boundaries and overlapping zones between these five regions were filtered to avoid any unrealistic spatial discontinuities. This combined Water body ammonium product is masked using the relative error threshold 0.5. Units: umol/l.

This map is part of the UAE solar atlas developed by the Research Center for Renewable Energy Mapping and Assessment (ReCREMA) at Masdar Institute in Abu Dhabi. The UAE solar atlas utilizes satellite imagery through a robust ANN model to map the solar potential across the country. Estimated irradiance is subsequently validated against independent ground data. Direct normal irradiance (DNI), diffuse horizontal irradiance (DHI) and global horizontal irradiance (GHI) are produced at a 3 km spatial resolution and in a near real-time manner (updated every 15 min). Hourly, daily, monthly and yearly irradiation maps for all three components are derived as the final product. The UAE Solar Atlas report with a detailed explanation of the methodology and results is available at http://atlas.masdar.ac.ae/docs/ReCREMA_UAE_Solar Atlas_Report.pdf Relevant publications: Eissa, Y., Chiesa, M., Ghedira, H., Assessment and recalibration of the Heliosat-2 method in global horizontal irradiance modeling over the desert environment of the UAE, Solar Energy, Vol. 86, pp 1816-1825, 2012. Eissa, Y., Marpu, P., Gherboudj, I., Ghedira, H., Ouarda, T., and Chiesa, M., Artificial neural network based model for retrieval of the direct normal, diffuse horizontal and global horizontal irradiances using SEVIRI images, Solar Energy, Vol. 89, pp 1–16, 2013. Updated list of publications can be found at http://recrema.masdar.ac.ae/publications/

This map is part of the UAE solar atlas developed by the Research Center for Renewable Energy Mapping and Assessment (ReCREMA) at Masdar Institute in Abu Dhabi. The UAE solar atlas utilizes satellite imagery through a robust ANN model to map the solar potential across the country. Estimated irradiance is subsequently validated against independent ground data. Direct normal irradiance (DNI), diffuse horizontal irradiance (DHI) and global horizontal irradiance (GHI) are produced at a 3 km spatial resolution and in a near real-time manner (updated every 15 min). Hourly, daily, monthly and yearly irradiation maps for all three components are derived as the final product. The UAE Solar Atlas report with a detailed explanation of the methodology and results is available at http://atlas.masdar.ac.ae/docs/ReCREMA_UAE_Solar Atlas_Report.pdf Relevant publications: Eissa, Y., Chiesa, M., Ghedira, H., Assessment and recalibration of the Heliosat-2 method in global horizontal irradiance modeling over the desert environment of the UAE, Solar Energy, Vol. 86, pp 1816-1825, 2012. Eissa, Y., Marpu, P., Gherboudj, I., Ghedira, H., Ouarda, T., and Chiesa, M., Artificial neural network based model for retrieval of the direct normal, diffuse horizontal and global horizontal irradiances using SEVIRI images, Solar Energy, Vol. 89, pp 1–16, 2013. Updated list of publications can be found at http://recrema.masdar.ac.ae/publications/

Africadiv is a network of 1-ha forest monitoring plots spread across the moist forests in central Africa. The Cameroonian site of Mindourou II is composed of 12 1-ha forest plots. The following data are available for the different plots at this site: Structure - DBH of all trees ≥ 10 cm DBH : n = 5 598 Structure - Tree height : n = 920 Structure - Trunk height : n = 667 Structure - Crown diameter : n = 233 Identification rate - species-level : 56.4 % Identification rate - genus-level : 26.2 % Identification rate - family-level : 11.7 % Identification rate - unidentified : 5.7 % Soil samples & analyses available : YES Geolocation : GPS points and laser measurements (distance, vertical & horizontal angles) every 20 m on the contour of the plot. These data are routinely collected and used by AMAP research unit (IRD) and partners (LaboSyst, Yaoundé 1 University). Scientific collaboration are welcomed, please get in touch with a Point of contact.