Operating power plants in Afghanistan as in 2016. Digitization based on Afghan Energy Information Center (AEIC) maps.
Afghanistan - Existing and Planned Power Plants
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Malanville: 2021-08-09 – 2023-08-08 - Parakou: 2021-08-13 – 2023-09-12
Benin - Solar Radiation Measurement Data
This dataset contains the input parameters for Model for Electricity Technology Assessment (META) tool for US, Romania, Jamaica and India (base year 2010). Furthermore, the META projected costs for 2015 and 2020 are presented.
META tool: Inputs Generation Technology, Projected Costs
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Sunyani: 2021-11-30 – 2023-11-29 - Navrongo: 2021-11-16 – 2023-11-15
Ghana - Solar Radiation Measurement Data
Wind speed raster file over the territory of Afghanistan. Aggregated annual average values. Spatial resolution 5km.
Afghanistan - Annual Average Wind Speed Data
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Korhogo: 2022-03-18 – 2024-03-17 - Sérébou: 2022-04-14 – 2024-04-13
Côte d'Ivoire - Solar Radiation Measurement Data
Maps with wind speed, wind rose and wind power density potential in India. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).
India - Wind Speed and Wind Power Potential Maps
India - Wind Speed and Wind Power Potential Maps - GIS
India - Wind Speed and Wind Power Potential Maps - Posters
The datasets are curated from the The Humanitarian Data Exchange (HDX). The Humanitarian Data Exchange (HDX) is an open platform for sharing data, launched in July 2014. The goal of HDX is to make humanitarian data easy to find and use for analysis. Our growing collection of datasets has been accessed by users in over 200 countries and territories.A team within the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) manages HDX. OCHA is part of the United Nations Secretariat, responsible for bringing together humanitarian actors to ensure a coherent response to emergencies. To learn more about the data, please visit https://data.humdata.org/dataset?vocab_Topics=administrative+boundaries-divisions&groups=cod
Democratic Republic of the Congo - Administrative Boundaries
The zipped shapefiles include province boundary polygon.
The zipped shapefiles include districts and territories boundary polygon.
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2007 / 2018)) by means of manual classification processing techniques.
Tanga (Tanzania) - Transport Infrastructure (ESA EO4SD-Urban)
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2007)) by means of manual classification processing techniques.
Transport Infrastructure in 2007 for Tanga (ESA EO4SD-Urban)
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Worldview-2: 2018) by means of manual classification processing techniques.
Transport Infrastructure in 2018 for Tanga (ESA EO4SD-Urban)
Link to Tanga transport infrastructure datasets in the Urban Thematic Exploitation Platform (UTEP).
Urban Thematic Exploitation Platform (UTEP) Link - Tanga
Tanga (Tanzania) - Transport Infrastructure (ESA EO4SD-Urban)(Feature Service)
Ground measured solar irradiation and meteorological data.
Nauru - Solar Radiation Measurement Data
Post measurement campaign calibration summary for the solar sensors for Nauru.
Narau - Corrosion Monitoring Data after 24 months.
Nauru OR19-7 Test-Site - Corrosion Monitoring Data (2 Years).pdf
Narau - Corrosion Monitoring Data after 12 months.
Narau OR19-7 Test Site - Corrosion Monitoring Data.pdf
Maps with wind speed, wind rose and wind power density potential in The United States of America. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).
Unites States of America - Wind Speed and Wind Power Potential Maps
United States of America - Wind Speed and Wind Power Potential Maps - Posters
United States of America - Wind Speed and Wind Power Potential Maps - GIS
Data repository for ground measurements and satellite data from 4 meteorological stations in Maldives. Data contains 1 minute average values for solar radiation levels, air temperature, relative humidity, wind speed and atmospheric pressure. Delivered files: Solar-Measurements_Maldives_sitename_WB-ESMAP_Header metadata for ground measurements files. Solar-Measurements_Maldives_sitename_WB-ESMAP_Raw raw ground measurements from datalogger. Do not use for further development. Solar-Measurements_Maldives_sitename_WB-ESMAP_QC quality checked ground measurements from dataloger. __ Solar-Measurements_Maldives_WB-ESMAP_SatelliteTS__ site adapted time series of satellite data. Solar-Measurements_Maldives_WB-ESMAP_SatelliteTMY Typical meteorological year data file (P50) based on site adapted time series of satellite data. For more information and additional outputs, please visit: http://esmap.org/re_mapping_madlvies For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Maldives-Solar Radiation Measurement Data, 2018,
Maldives - Solar Radiation Measurement Data
Period: 365 days, based on data from 1 January 1999 31 December 2017
Ground measurement data from 3 solar meteorological stations in Senegal. Data contains 1 minute average values for solar radiation, air temperature, relative humidity, barometric pressure, precipitation, wind speed at 3m, wind speed calculated for 10m, wind direction and cleaning events. For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/
Senegal - Solar Radiation Measurement Data
Vanuatu - Solar Radiation Measurement Data
Post measurement campaign calibration summary for the solar sensors for Vanuatu.
Ground measured solar irradiation and meteorological data. Year 2.
Vanuatu - Corrosion Monitoring Data after 12 months.
Vanuatu OR19-6 Test Site - Corrosion Monitoring Data.pdf
Vanuatu - Corrosion Monitoring Data after 24 months.
Vanuatu OR19-6 Test-Site - Corrosion Monitoring Data (2 Years).pdf
Ground measured solar irradiation and meteorological data. Year 1.
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Dédougou: 2021-10-27 – 2023-10-26 - Dori: 2021-10-12 – 2023-10-11 - Kaya: 2021-04-28 – 2023-04-27 - Koupéla: 2021-04-29 – 2023-04-28
Burkina Faso - Solar Radiation Measurement Data
Data repository for measurements from 12 wind masts in Pakistan. Data transmits daily reports for wind speed, wind direction, air pressure, relative humidity and temperature. Please refer to the country project page for additional outputs and reports, including the installation reports: http://esmap.org/node/3058. For access to maps and GIS layers, please visit the Global Wind Atlas: https://globalwindatlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP).
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Dapaong: 2021-10-25 – 2023-10-24 - Davié: 2021-11-03 – 2023-11-02
Tanzania Electric Supply Company Limited (TANESCO) is a parastatal organization under the Ministry of Energy and Minerals. The Company generates, transmits, distributes and sells electricity to Tanzania Mainland and sells bulk power to the Zanzibar Electricity Corporation (ZECO) which in turn sells it to the public in islands Unguja and Pemba. TANESCO owns most of the electricity Generating, Transmitting and Distributing facilities in Tanzania Mainland. The dataset provides information on existing, under construction and proposed power stations for hydro, thermal and substations, as well as existing and under construction transmission lines. The data is geo-referenced , digitized and extracted from the national grid system map published in 2015 by TANESCO. The following links are datasets related to Tanzania's power systems that are provided by other sources and are available for data comparisons. Tanzania Power Plants (2015), Tanzania Electricity Transmission Network (2014) Tanzania, Transmission Grid Network (2015) https://energydata.info/dataset/transmission-network-tanzania
Tanzania - TANESCO Existing Transmission Lines (2015)
Tanzania - TANESCO Transmission Lines Under Construction (2015)
Tanzania - TANESCO National Grid Map (2015)
Tanzania - TANESCO Hydro Power Stations (2015)
Tanzania - TANESCO Thermal Power Stations (2015)
Maps with wind speed, wind rose and wind power density potential in Pakistan. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).
Pakistan - Wind Speed and Wind Power Potential Maps
Pakistan - Wind Speed and Wind Power Potential Maps - GIS
Pakistan - Wind Speed and Wind Power Potential Maps - Posters
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Bissau: 2022-03-15 - 2024-03-14 - Gabu: 2022-03-25 – 2024-03-24
Guinea Bissau - Solar Radiation Measurement Data
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Lossa: 2022-01-23 – 2024-01-22 - Maradi: 2022-02-02 – 2024-02-01 - Zabori: 2022-02-10 – 2024-02-09
Niger - Solar Radiation Measurement Data
Map with solar irradiation and PV power potential in Ukraine. The GIS data stems from the Global Solar Atlas (http://globalsolaratlas.info). The link also provides a poster size (.tif) and midsize map (.png). The Global Solar Atlas is continuously updated. Provided GIS data layers include long-term yearly average of: (1) PVOUT – Photovoltaic power potential [kWh/kWp] (2) GHI – Global horizontal irradiation [kWh/m2] (3) DIF – Diffuse horizontal irradiation [kWh/m2] (4) GTI – Global irradiation for optimally tilted surface [kWh/m2] (5) OPTA – Optimum tilt to maximize yearly yield [°] (6) DNI – Direct normal irradiation [kWh/m2]
Ukraine - Solar irradiation and PV power potential maps
This dataset contains solar rooftop potential data (installable capacity, estimated electricity generation) for a sample area of interest in Mexico City. The data was gathered by extracting building rooftop footprint polygons from very high resolution stereosatelite imagery. Detailed methodology is available upon specific request.
Mexico City - Sample Rooftop Solar Mapping Potential
Daron Bedrosyan; Clara Ivanescu; Albertine Potter van Loon
The dataset with attributes is provided also in csv format. The available attribute information are : total surface area(m2), suitable area(m2), peak_installable_capacity (kw), energy potential(Kwh), estimated building height (m), estimated roof angle (degree) and assumed building type. This dataset covers the Mexico City area.
The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (which includes raw data sets of dta format), excel spreadsheet, pdf, and docx.
Honduras - Multi-Tier Framework (MTF) Survey
Lucia Luzi, Abdul-Farouk Bemba Nabourema, Bryan Bonsuk Koo, Dana Rysankova, Elisa Portale
MTF Energy Access Country Diagnostics Report_Honduras
Additional material for Questionnaire on solar devices.pdf
Data for replicating The Global Spatial Distribution of Economic Activity: Nature, History, and the Role of Trade (forthcoming 2018; with Vernon Henderson, Tim Squires and David N. Weil) Quarterly Journal of Economics We explore the role of natural characteristics in determining the worldwide spatial distribution of economic activity, as proxied by lights at night, observed across 240,000 grid cells. A parsimonious set of 24 physical geography attributes explains 47% of worldwide variation and 35% of within-country variation in lights. We divide geographic characteristics into two groups, those primarily important for agriculture and those primarily important for trade, and confront a puzzle. In examining within-country variation in lights, among countries that developed early, agricultural variables incrementally explain over 6 times as much variation in lights as do trade variables, while among late developing countries the ratio is only about 1.5, even though the latter group is far more dependent on agriculture. Correspondingly, the marginal effects of agricultural variables as a group on lights are larger in absolute value, and those for trade smaller, for early developers than for late developers. We show that this apparent puzzle is explained by persistence and the differential timing of technological shocks in the two sets of countries. For early developers, structural transformation due to rising agricultural productivity began when transport costs were still high, so cities were localized in agricultural regions. When transport costs fell, these agglomerations persisted. In late-developing countries, transport costs fell before structural transformation. To exploit urban scale economies, manufacturing agglomerated in relatively few, often coastal, locations. Consistent with this explanation, countries that developed earlier are more spatially equal in their distribution of education and economic activity than late developers. This dataset is part of the Global Research Program on Spatial Development of Cities funded by the Multi-Donor Trust Fund on Sustainable Urbanization of the World Bank and supported by the U.K. Department for International Development.
Global Distribution of Economic Activity
Shape file and csv of the data_origvars_sample.dta (.25 x .25 cells)
The "natvars" dataset contains GDP per capita, Urban Population, Urbanization rate, Total Population and Year of education in 1950 (csv version).
Henderson, J. V., Squires, T., Storeygard, A., & Weil, D. (2017). The global distribution of economic activity: nature, history, and the role of trade. The Quarterly Journal of Economics, (November), 1–50. https://doi.org/10.1093/qje/qjx030.Advance
The global distribution of economic activity: nature, history, and the role of trade
The "data_origvars_sample" dataset combines data for the world on a latitude-longitude pixel grid (0.25x0.25) on total calibrated light over nonwater 2010, excluding gas flares ; Ruggedness measure based on Nunn and Puga (2012), corrected for latitude ; Elevation, meters above sea level ; Land suitability as prob that cell is cultivated, Ramankutty (2002) ; Binary variable for if the coast passes inside the grid square ; Distance to the nearest navigable river, km ; 1(river passes inside the grid square) ; distance to coast ; Average monthly Celcius temperature (1960-1990 mon avg) ; Monthly total precipitation, mm/month (1960-1990 mon avg) ; Distance to the nearest natural harbor on the coast, km (great circle) ; Distance to the nearest big lake (area>5000 sq km), km (great circle) ; Length of growing period, days ; index of the stability of malaria transmission, Kiszewski et al. (2004) ; Grid cell area covered by land, km2 ; Total Pop at Mid-Year 2010 by Major Area, Region and Country, thousands, WUP 2014.
The "natvars" dataset contains GDP per capita, Urban Population, Urbanization rate, Total Population and Year of education in 1950
This dataset consists of grid connected solar installations. Their installed capacities in kilowatts (kW) are also provided. This dataset was last updated in June 2014. Citation: Ghana Energy Commission & Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge
Ghana - Geo-located Solar Stations connected to the grid
Solar Stations (connected to the grid) shapefile
Solar Stations (connected to the grid) GeoJSON
Solar Stations (connected to the grid) csv
Ground measured solar irradiation and meteorological data for Wadelai and Soroti
Uganda - Solar Radiation Measurement Data
Solar-Measurements_Uganda-Wadelai_World Bank_QC_Y2.csv
Corrosion monitoring data results after 1 year.
Soroti OR19-11 Test Site - Corrosion Monitoring Data (Year 1).pdf
Solar-Measurements_Uganda-Soroti_World Bank_Year2_QC.csv
Wadelai OR19-13 Test Site - Corrosion Monitoring Data (Year 1).pdf
Post measurement campaign calibration summary for the solar sensors for Soroti and Wadelai.
Corrosion monitoring data results after 2 years.
Wadelai OR19-13 Test Site - Corrosion Monitoring Data (Year 2).pdf
Solar-Measurements_Uganda-Soroti_World Bank_MSR.zip
Soroti OR19-11 Test Site - Corrosion Monitoring Data (Year 2).pdf
Solar-Measurements_Uganda-Wadelai_World Bank_Header.xlsx
Solar-Measurements_Uganda-Wadelai_World Bank_QC_Y1.csv
Solar-Measurements_Uganda-Soroti_World Bank_Year1_QC.csv
Solar-Measurements_Uganda-Wadelai_World Bank_MSR.zip
Solar-Measurements_Uganda-Soroti_World Bank_Header.xlsx
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Kankan: 2021-10-18 – 2023-10-17 - Tarambaly: 2021-10-24 – 2023-10-23
Guinea - Solar Radiation Measurement Data
This dataset is a global inventory of known wind masts for which there is access to corresponding wind measurement data, which aims to help improve developing country's knowledge and awareness of wind resources. Users are encouraged to contribute to the development of this dataset. If you have access to wind measurement data, please contact us for uploading the data on the platform and referencing it in the Global Wind Atlas: http://globalwindatlas.info
Estimated population layers: Alpha version 2010, 2015 and 2020 estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) UNITS: Estimated persons per grid square MAPPING APPROACH: Random Forest DATE OF PRODUCTION: April 2016 Metadata: http://www.worldpop.org.uk/data/WorldPop_data/AllContinents/MMR-POP_meta... Data is source from worldpop.org.uk http://www.worldpop.org.uk/data/summary/?contselect=Asia&countselect=Mya... The Data is licensed under Creative Commons Attribution 4.0 International. To know more, please visit https://creativecommons.org/licenses/by/4.0/legalcode
Estimated of numbers of people per pixel ('ppp') and people per hectare ('pph') datasets is produced using original census year data (2014). The zip file also contains a kmz file for estimated of numbers of people per pixel ('ppp').
Estimated population layers 2014 zipped GeoTIFF kmz
Estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted, in year of 2020.
Estimated population layers 2020 zipped GeoTIFF
Estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.
Estimated population layers 2015 zipped GeoTIFF
Estimates of numbers of people per pixel ('ppp') and people per hectare ('pph'), with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted, in year of 2010.
Estimated population layers 2010 zipped GeoTIFF
Solomon Islands - Solar Radiation Measurement Data
Solar-Measurements_Solomon Islands-Honiara_PPA_Y1_QC.csv
Post measurement campaign calibration summary for the solar sensors for Solomon Islands.
Calibration Feedback_Solomon Islands_ PPA.pdf
Solomon Islands - Corrosion Monitoring Data after 12 months.
Solomon Islands OR19-2 Test-Site - Corrosion Monitoring Data (1 Year).pdf
Solar-Measurements_Solomon Islands-Honiara_PPA_Y2_QC.csv
Solomon Islands - Corrosion Monitoring Data after 24 months.
Solomon Islands OR19-2 Test-Site - Corrosion Monitoring Data (2 Years).pdf
Solar-Measurements_Solomon Islands-Honiara_PPA_MSR.zip
Solar-Measurements_Solomon Islands-Honiara_PPA_Header.xlsx
The Hydropower Plants are split into 3 categories: Existing, SNEL operated Existing, privately operated Planned
Democratic Republic Congo (COD) - Hydropower Plants (2018)
This dataset was obtained from WB staff and contains the location of privately operated hydropower plants together with the capacity (MW) information.
This dataset was extracted from the geodatabase published in 2017 by Resource Matters, together with the report on the energetic sector in COD. https://resourcematters.org/
This dataset was obtained from SNEL and WB and contains the location of operational hydropower plants together with the capacity (MW) information.
This dataset provides Land Cover Land Use (LCLU) in Usumacinta river basin (Mexico). This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.
Usumacinta River Basin - Land Cover Land Use Mapping (LCLU)
Land Cover Land Use (LCLU) Raw Imagery (GeoTIFF)
Land Cover Land Use (LCLU) Data (GeoTIFF)
This dataset provides the following parameters for Papua New Guinea: 1. Forest Cover Change map 2005-2009-2011 for Oro project area. This map shows secondary and primary forest cover, non-forest, and water, with deforestation for the periods 2005-2009 and 2009-2011. 2. Land Cover map 2011 for Oro and West New Britain project areas. These maps provide a detailed picture of key land cover types including forest, wetlands, shrubland, settlements and oil palm. 3. Roads dataset 2011 for Oro and West New Britain project areas. This dataset provides an updated road network layer for the year 2011. This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.
Papua New Guinea - Roads, Land Use Land Cover, and Forest Cover Change
Includes styled layers and shapefiles to produce maps.
Full resolution processed RapidEye satellite image mosaics with band combination Near infrared, Red edge, and Red assigned to Red, Green, and Blue channels, respectively, in a three-band GEO-TIFF format.
Descriptions of the folder and file structures and metadata.
Land Use Land Cover 2011 for Oro and West New Birtain project areas, includes shapefiles of field data validation.
Land Use Land Cover Data (GeoTIFF, KMZ, PDF)
Forest cover change map 2005-2009-2011 for Oro project area
Forest Cover Change Data (GeoTIFF, KMZ, PDF)
Land Use / Land Cover (LULC) information product over Phnom Penh (Cambodia) contains spatial explicit information about the different land covers / uses for current (2017) and past (2003) dates. The level of detail for the classification scheme mainly relies on the input data sources. LULC dataset provides detailed information (level-3) over core urban areas covered by very high resolution satellite imagery, and level-1 information over peri-urban areas covered by lower resolution satellite imagery.
Phnom Penh (Cambodia) - Land Use/Land Cover Maps (ESA EO4SD-Urban)
Phnom Penh (Cambodia) - Land Use/Land Cover Maps (ESA EO4SD-Urban)(Feature Service)
Phnom Penh (Cambodia)_Land Use_Land Cover Maps (ESA EO4SD Urban) (Feature Service)
Land Use/Land Cover 2017 Very High Resolution Map for Phnom Penh (ESA EO4SD-Urban)
Land Use/Land Cover 2003 Very High Resolution Map for Phnom Penh (ESA EO4SD-Urban)
Land Use/Land Cover 2017 Map for Phnom Penh (ESA EO4SD-Urban)
EO4SD-Urban Phnom Penh Operations Report
Land Use/Land Cover 2003 Map for Phnom Penh (ESA EO4SD-Urban)
Link to LULC datasets of Phnom Penh on Urban Thematic Exploitation Platform (UTEP)
Urban Thematic Exploitation Platform (UTEP) Link - Phnom Penh
Data on Nigeria Settlement Location and Distribution downloaded from the The Bill & Melinda Gates Foundation Vaccination Tracking System (VTS). To learn more about the VTS project, please visit http://vts.eocng.org/Home/About?campaignId=0
Nigeria - Jigawa State Settlement Dataset
The dataset contains primary substations in Kenya. The dataset was provided by Kenya Power and Lighting Company (KPLC).
Rhonda Jordan Antoine; Patrick Balla; Laurencia Njagi; Sudeshna Banerjee.
Data collected and prepared for a project of the World Bank Group in February 2017. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. Some existing lines extracted from OSM data © OpenStreetMap contributors. The majority of the data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.
Ivory Coast - Electricity Transmission Network
Palau - Solar Radiation Measurement Data
Post measurement campaign calibration summary for the solar sensors for Palau.
Palau - Corrosion Monitoring Data after 24 months.
Palau OR19-4 Test-Site - Corrosion Monitoring Data (2 Years).pdf
Palau - Corrosion Monitoring Data after 12 months.
Palau OR19-4 Test Site - Corrosion Monitoring Data.pdf
Papua New Guinea - Solar Radiation Measurement Data
Solar-Measurements_Papua New Guinea_PPA_SID
Solar-Measurements_Papua New Guinea-Alotau_PPA_MSR.zip
Ground measured solar irradiation and meteorological data - Year 1.
Solar-Measurements_Papua New Guinea-Alotau_PPA_Y1_QC.csv
Solar-Measurements_Papua New Guinea-Alotau_PPA_Header.xlsx
Post measurement campaign calibration summary for the solar sensors for Papua New Guinea.
Calibration Feedback_Papua New Guinea_PPA.pdf
Papua New Guinea - Corrosion Monitoring Data after 12 months
Papua New Guinea OR19-5 Test Site - Corrosion Monitoring Data.pdf
Ground measured solar irradiation and meteorological data - Year 2.
Solar-Measurements_Papua New Guinea-Alotau_PPA_Y2_QC.csv
Papua New Guinea - Corrosion Monitoring Data after 24 months
Papau New Guinea OR19-5 Test-Site - Corrosion Monitoring Data (2 Years).pdf
This dataset contains solar rooftop potential data (installable capacity, estimated electricity generation) for the municipalities of Ho Chi Minh and Da Nang. The data was gathered by extracting building rooftop footprint polygons from very high resolution stereosatelite imagery. Detailed methodology is available upon specific request.
Vietnam - Municipal Rooftop Solar Mapping Potential
Daron Bedrosyan; Clara Ivanescu; Albertine Potter van Loon; Oliver James Knight
General questionnaire (E version)-revised.docx
Data on healthcare facility locations in Kenya. The dataset was provided by the Government of Kenya.
Federates States of Micronesia - Solar Radiation Measurement Data
Solar-Measurements_Federates States of Micronesia-Chuuk_PPA_1_QC.csv
Post measurement campaign calibration summary for the solar sensors for Micronesia.
Federates States of Micronesia - Corrosion Monitoring Data after 24 months.
Federates States of Micronesia OR19-15 Test-Site - Corrosion Monitoring Data (2 Years).pdf
Solar-Measurements_Federates States of Micronesia-Chuuk_PPA_MSR.zip
Solar-Measurements_Federates States of Micronesia_PPA_SID
Solar-Measurements_Federates States of Micronesia-Chuuk_PPA_2_QC.csv
Federates States of Micronesia - Corrosion Monitoring Data after 12 months.
Federates States of Micronesia OR19-15 Test Site - Corrosion Monitoring Data.pdf
Solar-Measurements_Federates States of Micronesia-Chuuk_PPA_Header.xlsx
The products within the water quality service provide the parameters (a) Chlorophyll concentration (CHL), (b) Total suspended matter concentration (TSM), (c) Dissolved organic matter absorption (CDOM), and (d) Signal depths (Z90). They are provided as monthly averages in raster data sets in two different resolutions: 300m and 1200m. Overview images are provided which show the monthly averages of each year. Besides the image data, times series plots are delivered showing the evolution of the respective parameters for the areas of interest (AOIs). Finally, matrix plots are provided that show the values for each month and year for interpretation of the yearly evolution of the parameters (heatmaps). This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.
Usumacinta River Basin - Water Quality Analysis
Dissolved organic matter absorption (CDOM) 2003-2011 at 300m (.KMZ)
Descriptions of the output maps, timeseriescharts, metadata, and file formats and storage.
Chlorophyll (CHL) 2003-2011 Timeseries (.PNG)
Total suspended matter (TSM) 2003-2011 Timeseries (.PNG)
Dissolved organic matter absorption (CDOM) 2003-2011 Timeseries (.PNG)
This database contains parameters gathered after an assessment of the technological potential for development of floating solar photovoltaic (PV) projects on existing hydropower dams and other reservoirs, starting with a pilot in FY18 focused on West Africa and India gathered from World Bank hydro projects. This database has been expanded to include the International Hydropower Association (IHA) dataset for India: https://energydata.info/dataset/india-hydropower-database It also includes data gathered from the FAO's public Aquastat database for Africa: http://www.fao.org/aquastat/en/databases/dams This dataset also contains data gathered from the public Global Reservoir and Dam Database (GRanD) for Africa.The database will be included in the Global Solar Atlas (http://globalsolaratlas.info/) where they will be directly linked to the solar resource through the Floating Solar module. The purpose of the resulting Floating Solar Atlas is to enable potential developers or stakeholders to quickly navigate to the site of interest and obtain information about the potential for development of a floating solar PV project. Following the FY19 updates, the database will continue to expand to other regions until a global dataset has been completed.The current coverage spans the continent of Africa and India only, with upcoming updates to include other continents.
Probable informal settlements over Karachi (Pakistan) contains spatial explicit information about position of slums as identified in 2005 and 2010 from ancillary data sources and in 2017 by interpretation of VHR satellite imagery. The level of detail for the classification scheme mainly relies on the input data sources.
Karachi (Pakistan) - Informal Settlements (ESA EO4SD-Urban)
Informal Settlements 2005 Map for Karachi (ESA EO4SD-Urban)
Link to Karachi Informal Settlements datasets in the Urban Thematic Exploitation Platform (UTEP).
Urban Thematic Exploitation Platform (UTEP) Link - Karachi
Informal Settlements 2017 Map for Karachi (ESA EO4SD-Urban)
Karachi (Pakistan) - Informal Settlements (ESA EO4SD-Urban)(Feature Service)
World Bank has awarded Fraunhofer ISE to conduct a Solar Measurement Campaign for 12 months of measurements at 2 sites in Lebanon. Data will be uploaded in batches, on a monthly basis, and will include 1 minute average values for solar radiation components, temperature, air pressure and other auxiliary parameters . Both stations (LBRAS and LBAMA) are Tier 2 HelioScale phi stations with Rotating Shadowband Irradiometers.
Maps with worldwide wind speed and wind power density potential. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). The link provides poster size (.pdf) and midsize maps (.png).
Europe and Central Asia - Wind Speed and Wind Power Potential Maps
Data repository for measurements from 8 wind masts in Zambia. Data transmits daily reports for wind speed, wind direction, air pressure, relative humidity and temperature. Please refer to the country project page for additional outputs and reports, including installation reports: https://www.esmap.org/re-mapping/zambia. For access to maps and GIS layers, please visit the Global Wind Atlas: http://globalwindatlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP).
Zambia - Wind Mapping Candidate Site Identification Report
Zambia - Wind Mapping Tower Commissioning Report
Megacity Dhaka encounters various kinds of natural disasters quite frequently owing to its geographical location and a number of other physical and environmental conditions including low topography, land characteristics, multiplicity of rivers and the monsoon climate. Climate and disaster resilience is not the same in all parts of a city. Spatial variations in resilience patterns result from differences in the strengths and weaknesses of the city’s economic, social, physical, institutional or natural aspects across its various parts. Traditional frameworks to assess adaptive capacity at the local level have focused largely on assets and capitals as indicators. While useful in understanding the capacity of a system to cope with disasters and adapt to changing environments, asset-oriented approaches overlook the processes and functions of a system (for example, governance system, community participation in decision-making, knowledge dissemination and management, structure of institutions and entitlements etc.) that are important aspects influencing the capacity of a human system to respond to climate change events.
101066 - Climate and disaster resilience of greater Dhaka area : a micro level analysis
Ground measurement data from 3 solar meteorological stations in Zambia. Data contains 1 minute average values for solar radiation, air temperature, relative humidity, barometric pressure, precipitation, wind speed and wind direction, cleaned and soiled radiance sensor (soiling measurement) and cleaning events.
Zambia - Solar Radiation Measurement Data
Solar-Measurements_Zambia-Fig Tree_IFC_Header
Solar-Measurements_Zambia-Fig Tree_IFC_QC
Ground measured solar irradiation and meteorological data for Laisamis, Narok and Homa Bay.
Kenya - Solar Radiation Measurement Data
Solar-Measurements_Kenya-Homa Bay_World_Bank_SID
Solar-Measurements_Kenya-Laisamis_World Bank_Year1_QC.csv
Solar-Measurements_Kenya-Laisamis_World Bank_MSR.zip
Solar-Measurements_Kenya-Homa Bay_World Bank_MSR.zip
Solar-Measurements_Kenya-Homa Bay_World Bank_Year2_QC.csv
Solar-Measurements_Kenya-Narok_World Bank_Year2_QC.csv
Solar-Measurements_Kenya-Narok_World Bank_Year1_QC.csv
Solar-Measurements_Kenya-Laisamis_World Bank_Year2_QC.csv
Solar-Measurements_Kenya-Homa Bay_World Bank_Header.xlsx
Solar-Measurements_Kenya-Homa Bay_World Bank_Year1_QC.csv
Solar-Measurements_Kenya-Laisamis_World Bank_Header.xlsx
Solar-Measurements_Kenya-Narok_World Bank_MSR.zip
Homa Bay OR19-16 Test Site - Corrosion Monitoring Data (2 Years).pdf
Solar-Measurements_Kenya-Narok_World Bank_Header.xlsx
Laisamis corrosion monitoring data results after 1 year.
Laisamis OR19-12 Test Site - Corrosion Monitoring Data (1 Year).pdf
Laisamis OR19-12 Test Site - Corrosion Monitoring Data (2 Years).pdf
Homa Bay OR19-16 Test Site - Corrosion Monitoring Data (1 Year).pdf
Narok OR19-14 Test Site - Corrosion Monitoring Data (1 Year).pdf
Post measurement campaign calibration summary for the solar sensors for Laisamis, Narok and Homa Bay.
Narok OR19-14 Test Site - Corrosion Monitoring Data (2 Years).pdf
The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. Resources included are raw data, codebook, questionnaires, sampling strategy document, and country diagnostic report. Formats include zip file (i.e. raw data sets in dta format), excel spreadsheet, pdf, and docx.
Kenya - Multi-Tier Framework (MTF) Survey
Alisha Pinto; Marina Brutinel; Bryan Bonsuk Koo; Dana Rysankova; Elisa Portale
Tuvalu - Solar Radiation Measurement Data
Tuvalu - Corrosion Monitoring Data after 24 months.
Tuvalu OR19-3 Test-Site - Corrosion Monitoring Data (2 Years).pdf
Post measurement campaign calibration summary for the solar sensors for Tuvalu.
Tuvalu - Corrosion Monitoring Data after 12 months.
Tuvalu OR19-3 Test-Site - Corrosion Monitoring Data (1 Year).pdf
This dataset provides coral reef habitat mapping (detailed geomorphological zonation) and change detection maps spanning 2000-2011. First data output is: Oil spills monitored twice a week during 6 months (from July 1st to January 3rd 2011) leading to a total of 324 products (in netcdf/cdf formats along with png snapshots), including: Chlorophyll concentration, Low-Res Sea Surface Temperature, Hi-Res Sea Surface Temperature, Total Suspended Matter, Water Transparency and Significant Wave Height. Second data output is: Assessment of coral reef health and evolution focusing on four sites of interest (Aldabra, Tulear, Mayotte, Rodrigues). This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2013.
Mozambique Channel - Coral Reef and Oil Spill Mapping
Mozambique Channel - Coral Reef and Oil Spill Mapping(Feature Service)
Four sites were mapped (Aldabra, Tulear, Mayotte, Rodrigues) and change detection was performed over the last decade.
Data delivered twice a week during 6 months (from July 1st to January 3rd) leading to a total of 324 products (in netcdf/cdf formats along with png snapshots). This corresponds to 54 dates times 6 products (Chlorophyll concentration, Low-Res Sea Surface Temperature, Hi-Res Sea Surface Temperature, Total Suspended Matter, Water Transparency and Significant Wave Height).
Includes methodology, bibliography, results of analysis, and metadata of the satellite imagery used. This report can be referred as: Andréfouët S, 2012, Mozambique Channel Coral Reef Habitat Mapping. Report to Collecte Localisation Satellites, IRD, Nouméa, January 2012. 56 pages.
Final Report and Documentation: Mozambique Channel Coral Reef Habitat Mapping
Maps with wind speed, wind rose and wind power density potential in The Republic of Korea. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).
Republic of Korea - Wind Speed and Wind Power Potential Maps
Republic of Korea - Wind Speed and Wind Power Potential Maps - GIS
Republic of Korea - Wind Speed and Wind Power Potential Maps - Posters
Data repository for measurements from a wind measurement station with a lidar in Bangladesh. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports on 1 minute average values. Please refer to the country project page for additional outputs and reports, including the installation reports: http://esmap.org/re-mapping/bangladesh. For access to maps and GIS layers, please visit the Global Wind Atlas: https://globalwindatlas.info/
Bangladesh - Solar Wind Measurements Implementation Plan
Bangladesh - Solar Wind Measurements Installation Report
Data repository for measurements from 6 meteorological stations in Zambia. Data contains 1 minute average values for solar radiation levels, air temperature, relative humidity, wind speed, atmospheric pressure and precipitation. Delivered files: Solar-Measurements_Zambia_sitename_WB-ESMAP_Header metadata for ground measurements files. Solar-Measurements_Zambia_sitename_WB-ESMAP_Raw raw ground measurements from datalogger. Do not use for further development. Solar-Measurements_Zambia_sitename_WB-ESMAP_QC quality checked ground measurements from dataloger. __ Solar-Measurements_Zambia_WB-ESMAP_SatelliteTS__ site adapted time series of satellite data. Solar-Measurements_Zambia_WB-ESMAP_SatelliteTMY Typical meteorological year data file (P50) based on site adapted time series of satellite data. For more information and additional outputs, please visit: https://www.esmap.org/ For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Zambia-Solar Radiation Measurement Data, 2017,
Period: 365 days, based on data from 01 January 1994 31 December 2017
Period: 13 November 2015 31 December 2017
Period: 18 November 2015 31 December 2017
Period: 14 November 2015 31 December 2017
Period: 11 November 2015 31 December 2017
Period: 01 January 1994 31 December 2017
Period: 21 November 2015 31 December 2017
Period: 07 November 2015 31 December 2017
Period: 05 November 2015 31 December 2017
Period: 06 November 2015 31 December 2017
Period: 10 November 2015 31 December 2017
The GIS Biomass Atlas of Vietam is the final output from the biomass resource mapping component of the activity “ Renewable Energy Resource Mapping and Geospatial Planning – Vietnam” [Project ID: P145513]. You can find more information about the project here: https://www.esmap.org/re_mapping_vietnam
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Bougouni: 2021-04-28 – 2023-04-27 - Fana: 2021-04-29 – 2023-04-28 - Sanankoroba: 2021-04-28 – 2023-04-27 - Sikasso: 2021-09-30 – 2023-09-29 - Manantali: 2021-11-09 – 2023-11-08
The dataset contains location of Power Stations in Kenya. It was provided by Kenya Power and Lighting Company (KPLC).
Data collected and prepared for a project of the World Bank Group in May 2004. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.
Eritrea - Electricity Transmission Network
Eritrea electricity transmission network
This dataset contains GIS data and LIB files from an initial wind resource assessment for Tanzania. For more information please visit the country webpage: https://www.esmap.org/re_mapping_tnz
Tanzania - Mesoscale Wind Mapping Phase1
The GIS Biomass Atlas of Pakistan is the final output from the biomass resource mapping component of the activity “ Renewable Energy Resource Mapping and Geospatial Planning – Pakistan” [Project ID: P146140]. You can find more information about the project here: https://www.esmap.org/re_mapping_pakistan To visualize the geospatial data generated in this study, please access: https://irena.masdar.ac.ae/GIS/?map=2636 Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Pakistan Biomass GIS Atlas, 2016, https://energydata.info/dataset/pakistan-biomass-gis-atlas"
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2008) / Worldview-2: 2017) ) by means of manual classification processing techniques.
Mtwara (Tanzania) - Transport Infrastructure (ESA EO4SD-Urban)
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Worldview-2: 2017) by means of manual classification processing techniques.
Transport Infrastructure in 2017 for Mtwara (ESA EO4SD-Urban)
Mtwara (Tanzania) - Transport Infrastructure (ESA EO4SD-Urban)(Feature Service)
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2008)) by means of manual classification processing techniques
Transport Infrastructure in 2008 for Mtwara (ESA EO4SD-Urban)
Link to transportation data for Mtwara on Urban Thematic Exploitation Platform (UTEP)
Urban Thematic Exploitation Platform (UTEP) Link - Mtwara
Data repository for measurements from 5 automated solar stations in Vietnam. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports on 1 minute average values for solar radiation levels, temperature, air pressure and wind speed. For more information and additional outputs, please visit: http://esmap.org/re_mapping_vietnam For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ 5 stations: VNCEH (Central Highlands): Tier 1 HelioScale omega / VNDAN (Da Nang): Tier 2 HelioScale phi / VNHAN (Hanoi): Tier 1 HelioScale omega / VNSOB (Song Binh): Tier 2 HelioScale phi / VNTRA (Tri-An): Tier 1 HelioScale omega Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Vietnam-Solar Radiation Measurement Data, 2017,
Vietnam - Solar Radiation Measurement Data
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Bauchi: 2021-09-20 – 2023-09-19 - Kano: 2021-09-10 – 2023-09-09
Nigeria - Solar Radiation Measurement Data
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Buchanan: 2022-02-25 – 2024-03-24 - Mount Coffee: 2021-06-12 – 2023-06-12 - Yekepa: 2022-03-16 – 2024-03-15
Liberia - Solar Radiation Measurement Data
8211050_CSPS_Solar Measurement Station_Installation Report_revB.pdf
Maps with wind speed, wind rose and wind power density potential in The Netherlands. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).
The Netherlands - Wind Speed and Wind Power Potential Maps
The Netherlands - Wind Speed and Wind Power Potential Maps - GIS
The Netherlands - Wind Speed and Wind Power Potential Maps - Posters
Marshall Islands - Solar Radiation Measurement Data
Marshall Islands - Corrosion Monitoring Data after 24 months.
Marshall Islands OR19-19 Test-Site - Corrosion Monitoring Data (2 Years).pdf
Solar-Measurements_Marshall Islands_PPA_SID
Solar-Measurements_Marshall Islands-Majuro_PPA_Y1_QC.csv
Solar-Measurements_Marshall Islands-Majuro_PPA_MSR.zip
Post measurement campaign calibration summary for the solar sensors for Marshall Islands.
Calibration Feedback_Marshall Islands_PPA.pdf
Solar-Measurements_Marshall Islands-Majuro_PPA_Y2_QC.csv
Solar-Measurements_Marshall Islands-Majuro_PPA_Header.xlsx
Marshall Islands - Corrosion Monitoring Data after 12 months.
Marshall Islands OR19-19 Test Site - Corrosion Monitoring Data.pdf
Global Horizontal Irradiation (GHI) raster file over the territory of Afghanistan. Aggregated annual average values. Spatial resolution 5km.
Afghanistan - Global Horizontal Irradiation
Maps with wind speed, wind rose and wind power density potential in The Philippines. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).
Philippines - Wind Speed and Wind Power Potential Maps
Philippines - Wind Speed and Wind Power Potential Maps - GIS
Philippines - Wind Speed and Wind Power Potential Maps - Posters
Maps with wind speed and wind power density potential in Latin America and Caribbean. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). The link provides poster size (.pdf) and midsize maps (.png).
Latin America and Caribbean - Wind Speed and Wind Power Potential Maps
Data repository for ground measurements and satellite data from 3 meteorological stations in Malawi. Data contains 1 minute average values for solar radiation levels, air temperature, relative humidity, precipitation, wind speed and atmospheric pressure. Delivered files: Solar-Measurements_Malawi_sitename_WB-ESMAP_Header metadata for ground measurements files. Solar-Measurements_Malawi_sitename_WB-ESMAP_Raw raw ground measurements from datalogger. Do not use for further development. Solar-Measurements_Malawi_sitename_WB-ESMAP_QC quality checked ground measurements from dataloger. __ Solar-Measurements_Malawi_WB-ESMAP_SatelliteTS__ site adapted time series of satellite data. Solar-Measurements_Malawi_WB-ESMAP_SatelliteTMY Typical meteorological year data file (P50) based on site adapted time series of satellite data. For more information and additional outputs, please visit: http://esmap.org/re_mapping_malawi For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Malawi-Solar Radiation Measurement Data, 2017,
Malawi - Solar Radiation Measurement Data
Period: 365 days, based on data from 1 January 1994 31 March 2017
Data repository for solar measurements from 4 WB funded stations in Armenia. The four solar measuring stations and the associated measurement campaign have been financed by the Scaling-Up Renewable Energy Program (SREP) as part of the preparation activities for the Armenia Utility-Scale Solar Project. This project, which is being jointly supported by SREP and the World Bank, will deliver the first utility-scale solar plant in the country. The locations for the measuring stations were selected by the Renewable Resources and Energy Efficiency Fund, the project’s implementing entity, following the recommendations from Effergy, the expert consultant firm. For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/
Armenia - Solar Radiation Measurement Data
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Kenema: 2021-11-18 – 2023-11-17 - Bumbuna: 2021-10-30 – 2023-10-29
Sierra Leone - Solar Radiation Measurement Data
The data shows the location of cities in Afghanistan.
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads in 2006 and 2015. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (QuickBird-2 (2006, 2008) and Pleiades (2015)) by means of manual classification processing techniques.
Semarang (Indonesia) - Transport Infrastructure (ESA EO4SD-Urban)
Link to Semarang transport network datasets in the Urban Thematic Exploitation Platform (UTEP).
Urban Thematic Exploitation Platform (UTEP) Link - Semarang
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (QuickBird-2 (2006, 2008)) by means of manual classification processing techniques.
Transport Infrastructure in 2006 for Semarang (ESA EO4SD-Urban)
Semarang (Indonesia) - Transport Infrastructure (ESA EO4SD-Urban)(Feature Service)
EO4SD-Urban Semarang City Operations Report
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Pleiades (2015)) by means of manual classification processing techniques.
Transport Infrastructure in 2015 for Semarang (ESA EO4SD-Urban)
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (QuickBird-2: 2005 and WorldView-2: 2017) by means of manual classification processing techniques.
Denpasar (Indonesia) - Transport Infrastructure (ESA EO4SD-Urban)
Denpasar (Indonesia) - Transport Infrastructure (ESA EO4SD-Urban)(Feature Service)
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (QuickBird-2: 2005) by means of manual classification processing techniques.
Transport Infrastructure in 2005 for Denpasar (ESA EO4SD-Urban)
Link to Denpasar transport infrastructure datasets in the Urban Thematic Exploitation Platform (UTEP).
Urban Thematic Exploitation Platform (UTEP) Link - Denpasar
The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (WorldView-2: 2017) by means of manual classification processing techniques.
Transport Infrastructure in 2017 for Denpasar (ESA EO4SD-Urban)
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Tambacounda: 2021-11-11 – 2023-11-10 - Ourossogui: 2021-10-29 – 2023-10-28
Senegal 2021 - Solar Radiation Measurement Data
Data repository for measurements from 2 lidar devices in the Maldives. Please refer to the country project page for additional outputs and reports, including installation reports: http://esmap.org/re-mapping/maldives. For access to maps and GIS layers, please visit the Global Wind Atlas: https://globalwindatlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP).
Maldives - Candidate Site Identification Report
Maldives - Mesoscale Wind Modeling Report
Maldives - Wind Mapping Site Installation Report
Maldives - 12-Month Site Resource Report.pdf
Maldives - 24 Month Site Resource Report.pdf
The Mining Investment and Governance Review (MInGov) is a tool used to systematically diagnose mining governance, improve sector performance, encourage investment, and facilitate engagement by civil society. MInGov data for individual countries are collected from a variety of sources (primary, secondary, and interviews) and made publicly available.
The Mining Investment and Governance Review (MInGov) is a tool used to systematically diagnose mining governance, improve sector performance, encourage investment, and facilitate engagement by civil society. MInGov data for individual countries are collected from a variety of sources (primary, secondary, and interviews) and made publicly available. For further information about MInGov and a description of the data visit www.worldbank.org/en/programs/mingov.
The existing (2015) and planned transmission network for Afghanistan including lines above 110 kV. Digitization based on the Afghan Energy Information Center (AEIC) maps available in March 2015.
Data repository for measurements from 9 automated solar stations in Pakistan. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports on 10 minute average values for solar radiation levels, temperature, air pressure and wind speed. From 2018 onward, the measurement stations are being operated by the Government of Pakistan, together with NREL and USAID. For more information and additional outputs, please visit: https://esmap.org/node/3058. For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Pakistan-Solar Radiation Measurement Data, 2017,
Pakistan - Solar Radiation Measurement Data
Nigeria - Katsina State Settlement Dataset
Data collected and prepared for a project of the World Bank Group in October 2013. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.
Nepal - Electricity Transmission Network
Liberia - Multi-Tier Framework (MTF) Survey
MTF Energy Access Country Diagnostics Report_LIBERIA
Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: - Farafenni: 2021-09-12 – 2023-09-11
The Gambia - Solar Radiation Measurement Data
For the urban and peri-urban area of St. Louis, three main flood scenarios have to be considered: a. Fluvial floods (seasonal floods from the Senegal River) after heavy tropical rains in the upper part of the catchment area b. Floods triggered by rainfall stagnation after heavy local cloudbursts c. Floods caused by sea-level rise, tidal waves and coastal erosion Scenario a.) and b.) may occur at the same time. The shapefile includes 6 extents of floods between 2009 and 2018 based on HR optical imagery and 7 extents of floods based on visual interpretation of VHR data as available in GoogleEarth.
Saint Louis (Senegal) - Flood Extent Maps (ESA EO4SD-Urban)
EO4SD-Urban Saint Louis Operations Report
Flood Extent Map for Saint Louis 2015 (ESA EO4SD-Urban)
Saint Louis (Senegal) - Flood Extent Maps (ESA EO4SD-Urban)(Feature Service)
Flood Extent Map for Saint Louis 2016 (ESA EO4SD-Urban)
Flood Extent Map for Saint Louis 2018 (ESA EO4SD-Urban)
Flood Extent Map for Saint Louis 2009 (ESA EO4SD-Urban)
Flood Extent Map for Saint Louis 2013 (ESA EO4SD-Urban)
Flood Extent Map for Saint Louis 2012 (ESA EO4SD-Urban)
Link to Saint Louis flood extent datasets in the Urban Thematic Exploitation Platform (UTEP).
Urban Thematic Exploitation Platform (UTEP) Link - Saint Louis
Flood Extent Map for Saint Louis 2011 (ESA EO4SD-Urban)
Flood Extent Map for Saint Louis 2017 (ESA EO4SD-Urban)
Data repository for measurements from 5 automated solar stations in Nepal. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports on 1 minute average values for solar radiation levels, temperature, air pressure, liquid precipitation and wind speed. For more information and additional outputs, please visit: http://esmap.org/re_mapping_nepal For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Nepal-Solar Radiation Measurement Data, 2018,
Nepal - Solar Radiation Measurement Data
Nepal Presentation Final Results, Solar Measurement Campaign_April-26-WB-ESMAP.pdf
Program - Solar Resource Measurement in Nepal - April 26-27, 2021.pdf
World - Wind Speed and Wind Power Potential Maps
World - Wind Speed and Wind Power Potential Maps - Power Density GIS Data
World - Wind Speed and Wind Power Potential Maps - Wind Speed GIS Data
Data repository for measurements from a solar measurement station in Bangladesh. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports on 1 minute average values for solar radiation levels, temperature, air pressure and wind speed. For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/
Bangladesh - Solar Radiation Measurement Data
Maps with wind speed and wind power density potential for South Asia. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). The link provides poster size (.pdf) and midsize maps (.png).
South Asia - Wind Speed and Wind Power Potential Maps
Ground measured solar irradiation and meteorological data for Makunduchi.
Zanzibar - Solar Radiation Measurement Data
Solar-Measurements_Tanzania-Makunduchi_World Bank_MSR.zip
Ground measured solar irradiation and meteorological data. Year 2 of measurement campaign.
Solar-Measurements_Tanzania-Makunduchi_World Bank_Year2_QC.csv
Post measurement campaign calibration summary for the solar sensors for Makunduchi.
Solar-Measurements_Tanzania-Makunduchi_World Bank_Header.xlsx
Makunduchi OR19- 8 Test Site - Corrosion Monitoring Data (1 Year).pdf
Makunduchi OR19- 8 Test Site - Corrosion Monitoring Data (2 Years).pdf
Ground measured solar irradiation and meteorological data. Year 1 of measurement campaign.
Solar-Measurements_Tanzania-Makunduchi_World Bank_Year1_QC.csv
Land cover/land use (LULC) maps for the catchments of Kelani Ganga and Attanagalu Oya, and LULC Change comparing 1991, 2001 with the recent LCLU (2012). Classification includes two thematic levels (national 7-class scheme and 15 land cover/land use classes according to user definitions). This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.
Sri Lanka - Land Use Land Cover LULC (Change) Mapping
Includes output map, statistics, metadata and satellite specifications, validation procedures and accuracy measures.
Product Sheet: Land Use Land Cover Change 1991-2001-2012
Shapefile: Land Cover Classification 2012
Shapefile: Land Cover Classification 2001
Ready Map for Printing: Land Cover Classification 2012 (JPG)
Sri Lanka - Land Use Land Cover LULC (Change) Mapping(Feature Service)
Includes output map, metadata and satellite specifications, validation procedures and accuracy measures.
Shapefile: Land Cover Classification 1991
São Tomé and Príncipe - Multi-Tier Framework (MTF) Survey
Marina Brutinel; Yuhan Wang; Bryan Bonsuk Koo; Elisa Portale; Dana Rysankova
Maps with wind speed, wind rose and wind power density potential in Taiwan. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).
Taiwan - Wind Speed and Wind Power Potential Maps
Taiwan - Wind Speed and Wind Power Potential Maps - GIS
Taiwan - Wind Speed and Wind Power Potential Maps - Posters