Transmission Line buffers. Distances include 2km, 5km, 10km, 15km, and 20km from nearest transmission lines. Buffers generated using transmission lines datasets from the following source: Power Transmission Lines, Bangladesh Power Development Board

Brazil Power Plants Layer Source: ONS (National Operator of the Electric System) - Brazil (2002) Description: Power plants. Spatial Resolution: Unknown

The North Pacific ACP (African, Caribbean and Pacific) Renewable Energy and Energy Efficiency Project (North-REP) is a unique project aimed at developing the energy sectors of the Federated States of Micronesia, The Republic of the Marshall Islands and Palau. These three SPC members have pooled the combined € 14,4 million from European Development Fund 10 resources and entrusted SPC to manage the project. This highlights the special partnership between a provider of technical assistance and services and its recipient member countries and territories. It also highlights the collaboration and vision in working together for the betterment of livelihoods in the north Pacific region. http://www.spc.int/edd/fr/section-01/energy-overview/energy/77-north-pacific-acp-renewable-energy-and-energy-efficiency-project-north-rep Copyright: SolarGIS © 2013 GeoModel Solar.

DNI Namibia (SolarGIS) Direct Normal Irradiation (c) 2012 GeoModel Solar http://solargis.info Annual Solar DNI Values. Units: kWh/m2/month Annual and monthly long-term average representing years 1994-2011.

Protected area of the EU and MENA regions.

Global Land Cover 2000 (GLC2000) Global Land Cover 2000 © 2003 European Communities Resolution: 0:00:32.142857 Values / definition 1 evergreen broadleaved forests 2 deciduous broadleaved forests, closed (> 40%) 3 deciduous broadleaved forests, open (15-40%) 4 evergreen needle-leaved forest 5 deciduous needle-leaved forest 6 mixed forest 7 evergreen broadleaved - swamp forest 8 evergreen broadleaved - mangrove forest 9 mosaic - tree cover dominant with other vegetation component (natural, crop component) 10 burnt tree cover 11 evergreen shrubland 12 deciduous shrubland 13 grassland 14 sparsely vegetated cover 15 wetlands 16 croplands 17 mosaic - cropland dominant / tree cover, other natural vegetation 18 mosaic - cropland dominant / shrub, grass cover 19 bare areas 20 water bodies 21 snow and ice 22 artificial surfaces and associated areas 23 cover unknown, no data

Global Land Cover 2000 (GLC2000) Global Land Cover 2000 © 2003 European Communities Resolution: 0:00:32.142857 Values / definition 1 evergreen broadleaved forests 2 deciduous broadleaved forests, closed (> 40%) 3 deciduous broadleaved forests, open (15-40%) 4 evergreen needle-leaved forest 5 deciduous needle-leaved forest 6 mixed forest 7 evergreen broadleaved - swamp forest 8 evergreen broadleaved - mangrove forest 9 mosaic - tree cover dominant with other vegetation component (natural, crop component) 10 burnt tree cover 11 evergreen shrubland 12 deciduous shrubland 13 grassland 14 sparsely vegetated cover 15 wetlands 16 croplands 17 mosaic - cropland dominant / tree cover, other natural vegetation 18 mosaic - cropland dominant / shrub, grass cover 19 bare areas 20 water bodies 21 snow and ice 22 artificial surfaces and associated areas 23 cover unknown, no data

Map does not include shallow Deep Enhanced Geothermal Systems (EGS) resources located near hydrothermal sites or USGS assessment of undiscovered hydrothermal resources. Source data for deep EGS includes temperature at depth from 3 to 10 km provided by Southern Methodist University Geothermal Laboratory (Blackwell & Richards, 2009) and analyses (for regions with temperatures ≥150°C) performed by NREL (2009). N/A regions have temperatures less than 150°C at 10 km depth and were not assessed for deep EGS potential. Temperature at depth data for deep EGS in Alaska and Hawaii not available. Qualitative classes are based on temperature and depth ranges. Temperature values are not exclusive to any single class and may be located at different depths from one class to the next. Classes express approximate favorability for geothermal resource, with a lower number indicating the possibility of a higher potential value.

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/