Urban ARK WP2.1 Relevant datasets for understanding urban risk in Africa
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Urban ARK Database of Relevant Datasets for Understanding Urban Risk in Africa. This database was complied by Urban ARK WP2.1 members at King's College London in August 2015, and is continually being updated. It is a list of globally/Africa/country wide datasets relevant to understanding the environment, geographic setting and hazards in urban Africa (particularly Kenya and Malawi). The majority of the datasets are freely available to download. For any comments, queries or suggestions for additional datasets, please contact: faith.taylor@kcl.ac.uk. Please note this database will be continually updated, so may change over time. You are able to view, but not make edits directly to the databse - please contact faith.taylor@kcl.ac.uk if you wish to make edits.
IDNameAbstractData Category Data TypePeer-review ReferenceWeblinkExtent Spatial ResolutionLast updateTemporal ResolutionEarliest RecordAccess formatLimitationsNotesUrban-area scale?Contributor
ID number. Datasets are listed alphabeticallyName of the datasetNotes on the topic of the dataset. Where available, this was taken directly from the referenced source. In other instances, this was written by Urban ARK WP2.1 authorsThemes of data available from this source (E = Environment, H = Hazard, I = Infrastructure, P = People, S = Setting)More detail on what kinds of maps/data is available from this source. Several sources contain many different types of dataIf peer-review publication about this dataset/source is available, the citation is here.If the dataset or metadata is available online, the weblink is here. All links current as of Jan 2016What is the spatial coverage of data available (Global/ Continental/ Country/Other)Down to what scale is data mapped? This may be a precise figure or a qualitative note on data spatial resolution.When was the data last updated? How frequently is data added to the database?How frequently are measurements taken?What is the earliest entry available in the dataset. Note some records are incomplete and are being continually updated.How can the data be accessed, e.g., file typeNotes (opinion based) on limitations and cautions for using the dataOther notesDoes the dataset specifically address urban areas? (i.e., urban areas are not considered as just one unit, or coarser)Name of the person who suggested the dataset. If blank, was part of initial review by Taylor, F. E.
1Africa Flood and Drought Monitor (AFDM)Experimental drought monitoring and forecast system for sub-Saharan Africa. The system merges climate predictions, hydrological models and remote sensing data to provide information on drought in developing regions. Web mapping serivice with ability to download data.E; HDrought index; soil moisture; stream flow; runoff; net radiation; NDVISheffield, J., Wood, E. F., Chaney, N., Guan, K., Sadri, S., Yuan, X., ... & Ogallo, L. (2014). A drought monitoring and forecasting system for sub-Sahara African water resources and food security. Bulletin of the American Meteorological Society, 95(6), 861-882.http://stream.princeton.edu/AWCM/WEBPAGE/interface.php?locale=enAfrica0.25 degreesContinuously updateddayUnknown (1980s?). Further investigation required. ascii; nedcdf; WMSMainly forecast/model outputMeterology derived from satellite products
2Africa MapWeb mapping service allowing display of various thematic layers.E; P; SVarious overview maps (health, environment, history, demographic etc.)http://worldmap.harvard.edu/africamap/AfricaVariableVariableVariable1800s (variable)WMSReally nice web map explorer with lots of data layers. Good for an overview of a place
4Africa Soil Information ServicesDigital soil mapping is the creation of spatial soil information systems using field and laboratory methods coupled with spatial and non-spatial soil inference systems (Lagacherie, McBratney and Voltz, 2006). AfSIS is producing digital soil maps using legacy data (e.g. from the existing ISRIC-WISE and SOTER databases as well as the new legacy data collection Africa Soil Profiles Database (version 1.0 now available). These maps are being developed using approaches and standards that are fully compliant with the Global Digital Soil Map initiative. The first round of these maps, using the Africa Soil Profiles Database, is now available.ESoil informaitonShepherd, K. D. "Soil spectral diagnostics–infrared, x-ray and laser diffraction spectroscopy for rapid soil characterization in the Africa Soil Information Service." 19th World congress of soil science, soil solutions for a changing world. 2010.http://africasoils.net/services/data/Sub Saharan Africa250 mUnknownStaticUnknown (based on variable data)GeoTIFF; KMZBased on variable data sources interpolated
5African Development Bank Group Data PortalMainly socioeconomic data tables related to development. Country profiles of development status.I; P; SEconomic and Infrastructure Indicatorshttp://dataportal.afdb.org/Dashboards.aspx?key=26245AfricaCountry level; Regional level2014Year2003WMS; xls
6African Development Bank Group Infrastructure AfricaSpatial data on infrastructure (power, roads, transportation) and consumptionI; PElectrical Infrastructure; Powerplants; Roads; Road condition; Electricity usehttp://www.infrastructureafrica.org/documents/tools/list/arcgis-shape-files?country=57AfricaCountry levelVariableStaticVariable. Early 2000sshapefile; interactive pdf; excelNot all countries have data. Sources not always clearSome maps of electricity network for Malawi. Interactive maps of infrastructure for Kenya available in pdf format
7AFRICLIM: high-resolution climate projections for ecological applications in AfricaAFRICLIM provides high-resolution ensemble climate projections for Africa. The spatial database includes monthly grids of temperature and rainfall, and derived bioclimatic summary variables such as moisture indices and dry season length.E; HClimate model ensebmle climate indices for ecological applicationsPlatts, Philip J., Peter A. Omeny, and Rob Marchant. "AFRICLIM: high‐resolution climate projections for ecological applications in Africa." African Journal of Ecology 53.1 (2015): 103-108.https://www.york.ac.uk/environment/research/kite/resources/Africa0.928 km - 18.6 km2015Month2041 (future projections)GeoTIFFTom Etherington
8AfricoverThe Africover project, on which the GLCN programme has built its success, was established to develop a digital georeferenced database on land cover and a geographic referential for the whole of Africa including geodetical homogeneous referential, toponomy, roads and hydrography. E; I; SLand cover; Roads; Towns; BordersKalensky, Z. D. "AFRICOVER land cover database and map of Africa."Canadian journal of remote sensing 24.3 (1998): 292-297.http://www.glcn.org/activities/africover_en.jspBurundi, Democratic Republic of Congo, Egypt, Eritrea, Kenya, Rwanda, Somalia, Sudan, Tanzania and Uganda.1:200,000 and 1:100,000 for small countries and specific areas1995 - 2002Static1995shp; kml; pdfNoFT
9Atlas of African Agriculture Research and DevelopmentThe atlas covers seven themes: Political, Demographic, and Institutional classifications; Footprint of Agriculture; Growing Conditions; Role of Water; Drivers of Change; Access to Trade; and Human Welfare and includes more than 30 topics. Maps illustrate each topic, complemented by supporting text that discusses the content and relevance of the maps, the underlying source data, and where to learn more. Open source dataE; H; I; P; SFarming systems; irrigated areas; crop types; cropping intensity; land productivity; agroecological zones; climate zones; rainfall; soil fertility; water use; impacts of climate change; influence of aridity; yield potential; market access; marketsheds; ports; severity of hunger; poverty; childhood nutritionVaries by maphttp://agatlas.org/AfricaVariable; Coarse2014Staticvariable 1960s - 2000spdf; WMSGood discussion of sources and limitations for each map. Data already processedSome maps and data come from other locations where shapefiles can be downloaded.
10BGS GroundwaterRobust quantitative groundwater maps for Africa were developed to highlight areas more likely to be resilient to climate change and also where sufficient groundwater resources may be available to help adaptation. The maps are the first produced for Africa and are underpinned by dedicated case studies and systematic data/literature reviews.E; HGroundwater productivity; Groundwater storage; Depth to groundwaterMacDonald, A. M., Bonsor, H. C., Dochartaigh, B. É. Ó., & Taylor, R. G. (2012). Quantitative maps of groundwater resources in Africa. Environmental Research Letters, 7(2), 024009.http://www.bgs.ac.uk/research/groundwater/international/africanGroundwater/maps.htmlAfrica1:20 m2012StaticStatitic, 2012pdf; asciiBased on modelling from variable datasetsBased on extensive review of available maps, publications and data
11BGS VOGRIPA Volcano Global Risk Idenfitication and Analysis ProjectGlobal map of volcanoes and their attributes (e.g., last erruption date).E; HVolcano locations; volcano types; volcano erruption dates; Eruption propertiesCrosweller, H. S., Sparks, R. S., & Siebert, L. (2009, December). A New Breed of Database System: Volcano Global Risk Identification and Analysis Project (VOGRIPA). In AGU Fall Meeting Abstracts (Vol. 1, p. 02).http://www.bgs.ac.uk/vogripa/GlobalN/AContinuously updatedMonth?Variable, as far back as records of volcanoes goWMSMainly based on literature reviews
12ClimAfrica WP4A monitoring and forecasting warning system (based on ClimAfrica data) that produces prospective analyses about food insecurity and water crisis for the next 10 years. This will fill the gap between seasonal scale predictions and long-term impact scenarios, and identify the future Areas of Concerns (AoCs) and likely hotspots of vulnerabilities and food insecurityIInfrastructure qualityhttp://www.fao.org/geonetwork/srv/en/resources.get?id=48388&fname=ClimAfr23_infrastructure_index.zip&access=privateAfrica30 arcseconds2010StaticStatic, 2010
13CrisisNET incident dataCrisisNET is an Ushahidi initiative to build a platform for the world’s crisis data, giving journalists, data scientists, developers, and other makers fast, easy access to critical government, business, humanitarian, and crowdsourced information. By reducing the time it takes to access and use crisis data from hours or days to minutes, CrisisNET removes the barriers to big data, and empowers communities to create solutions for their own problems.HVarious citizen reportshttp://crisis.net/explore/GlobalVariableContinuously updateddayUnknow, late 2000's?WMS, csvSome bugs in software. Based on crowd-generated reporting.Small collection of crowd-sourced reports of various topics (hazards, civil unrest, etc.)
14Dartmouth Flood ObservatoryGlobal archive of large flood events collected from news, goernmental, instrumental and remote sensing sources. Maps extent of affected areaHFlood area affectedG.R.Brakenridge, "Global Active Archive of Large Flood Events", Dartmouth Flood Observatory, University of Colorado, http://floodobservatory.colorado.edu/Archives/index.html.http://floodobservatory.colorado.edu/Archives/index.htmlGlobalContinuously updatedday1985xls; xml; mapifo; shpBased on MODIS imagery
15Data Portal MalawiA good 'official' country level portal containing some good socioeconomic and development and mortality indicators at Malawi regional level.E; H; I; P; SSocial; Environmentalhttp://www.dataportal.nsomalawi.mw/en/MapMalawiCoarse; CountyVariableVariable 1990 onwardscsv; tiffAt a regional level (there are 3 regions in Malawi)
16DesinventarDesInventar is a conceptual and methodological tool for the generation of National Disaster Inventories and the construction of databases of damage, losses and in general the effects of disasters.HHazards; Deaths; LossesSerje, J. (2011). Desinventar: a methodology to build Disaster Inventories as part of the Risk Mitigation Process. UNDP/LA RED, 20.http://www.desinventar.net/GlobalCountyContinuously updated2015csv
17Digital Chart of the WorldThe Digital Chart of the World (DCW) is a comprehensive digital map of Earth. It is the most comprehensive geographical information system (GIS) global database that is freely available, although it has not been updated since 1992.IRoads; Railwayshttps://worldmap.harvard.edu/data/geonode:Digital_Chart_of_the_WorldGlobalshapefile
18Digital Soil Map of the WorldThe vector data set is based on the FAO-UNESCO Soil Map of the World. The Digitized Soil Map of the World, at 1:5.000.000 scale, is in the Geographic projection (Latitude - Longitude) intersected with a template containing water related features (coastlines, lakes, glaciers and double-lined rivers). The Digital Soil Map of the World (except for the continent of Africa) was intersected with the Country Boundaries map from the World Data Bank II (with country boundaries updated to January 1994 at 1:3 000 000 scale), obtained from the US Government. For Africa, the country boundaries are derived from the FAO Country Boundaries on the original FAO/UNESCO Soil Map of the World. Country boundaries in both cases were checked and adjusted in certain places on the basis of FAO and UN conventions.ESoil typehttp://www.fao.org/geonetwork/srv/en/metadata.show?id=14116Global1:5 000 0002007Variablepdf; shapefile; WMS
19Down to Earth: Geographical Information for Sustainable Development in Africa (2002)In 1992, world leaders adopted Agenda 21, the work program of the 1992 U.N. Conference on Environment and Development. This landmark event provided a political foundation and action items to facilitate the global transition toward sustainable development. The international community marked the tenth anniversary of this conference in Johannesburg, South Africa, in August 2002. Down to Earth, a component of the U.S. State Department's "Geographic Information for Sustainable Development" project for the World Summit, focuses on sub-Saharan Africa with examples drawn from case-study regions where the U.S. Agency for International Development and other agencies have broad experience. Although African countries are the geographic focus of the study, the report has broader applicability. Down to Earth summarizes the importance and applicability of geographic data for sustainable development and draws on experiences in African countries to examine how future sources and applications of geographic data could provide reliable support to decision-makers as they work towards sustainable development. The committee emphasizes the potential of new technologies, such as satellite remote-sensing systems and geographic information systems, that have revolutionized data collection and analysis over the last decade.E(Book) Links to spatial data sourcesJensen, J. R., Botchway, K., BRENNAM-GALVIN, E., Johannsen, C. J., Juma, C., Mabogunje, A., ... & Taylor, D. R. F. (2002). Down to Earth: geographic information for sustainable development in Africa. National Research Council, Washington, DC.http://www.nap.edu/catalog/10455/down-to-earth-geographical-information-for-sustainable-development-in-africaAfrica2002Static(Book)
20Earth Impact DatabaseThe Earth Impact Database (EID) comprises a list of confirmed impact structures from around the world. To date, there are 188 confirmed impact structures in the database.HLocation, age and info about impact cratersSpray, J., & Hines, J. (2009). Earth impact database. Planetary and Space Science Centre, University of New Brunswick, Canada. http://www. unb. ca/passc/ImpactDatabase/index. html (March 2010).http://www.passc.net/EarthImpactDatabase/index.htmlGlobalN/AUnknown(data searching ~1990) Impacts from millions of years agoxlsBased on combination of methods (literature reviews, public reporting, aerial photo analysis)
21EM-DATSince 1988 the Centre for Research on the Epidemiology of Disasters (CRED) has been maintaining an Emergency Events Database EM-DAT. EM-DAT was created with the initial support of the WHO and the Belgian Government. The main objective of the database is to serve the purposes of humanitarian action at national and international levels. It is an initiative aimed to rationalise decision making for disaster preparedness, as well as providing an objective base for vulnerability assessment and priority setting. EM-DAT contains essential core data on the occurrence and effects of over 18,000 mass disasters in the world from 1900 to present. The database is compiled from various sources, including UN agencies, non-governmental organisations, insurance companies, research institutes and press agencies.HHazards; Fatalities; Impact; CostEM-DAT, C.R.E.D., 2010. The OFDA/CRED international disaster database.Université catholique.http://www.emdat.be/country_profile/index.htmlGlobalN/AContinuously updatedUnknowncsv
22Environmental Information Systems Africa (EIS Africa)EIS-AFRICA is a pan-African membership organization working to improve use of geospatial and environmental information to enrich policy debate and support decision-making for the well-being of Africa’s people.EConferencehttp://www.eis-africa.org/AfricaNo data online yet but useful organisation to be aware of. Arrange conferences on spatial data for Africa
23FEWS (Famine Early Warning System)The Famine Early Warning Systems Network is a leading provider of early warning and analysis on food insecurity. Created by USAID in 1985 to help decision-makers plan for humanitarian crises, FEWS NET provides evidence-based analysis on some 35 countries. Implementing team members include NASA, NOAA, USDA, and USGS, along with Chemonics International Inc. and KimetricaE; HFood securityHerman, A., Kumar, V. B., Arkin, P. A., & Kousky, J. V. (1997). Objectively determined 10-day African rainfall estimates created for famine early warning systems. International Journal of Remote Sensing, 18(10), 2147-2159.http://www.fews.net/AfricaRegionalContinuously updatedMonthkml; pdfSome pdf reports available in archive. Possibly contact for archive for spatial data
24GEOnet Names Server (GNS)The GEOnet Names Server (GNS) is the official repository of standard spellings of all foreign geographic names, sanctioned by the United States Board on Geographic Names (US BGN). The database also contains variant spellings (cross-references), which are useful for finding purposes, as well as non-Roman script spellings of many of these names. All the geographic features in the database contain information about location, administrative division, and quality. The database can be used for a variety of purposes, including establishing official spellings of foreign place names, cartography, GIS, GEOINT, and finding places.SGazeteerHill, L.L., Frew, J. and Zheng, Q., 1999. Geographic names. D-Lib Magazine,5(1), p.17.http://geonames.nga.mil/gns/html/GlobalContinuously updatedDatabase of place names. Also available as KML through KCL Geodata Portal
25GeoNodeGeoNode is an open source geospatial platform that enables users to manage and use geospatial content relevant to recovery and reconstruction. The GeoNode platform is already being used in more than 24 countries to collect and manage disaster risk management data under open licenses.HDisaster datahttps://www.gfdrr.org/gfdrr-and-american-red-cross-launch-online-data-sharing-platform-aftermath-typhoon-yolandaGlobalVariableSoftware for sharing and crowdsourcing crisis data. Ubuntu only
26GLIDEAccessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. This idea was shared and promoted by the Centre for Research on the Epidemiology of Disasters (CRED) of the University of Louvain in Brussels (Belgium), OCHA/ReliefWeb, OCHA/FSCC, ISDR, UNDP, WMO, IFRC, OFDA-USAID, FAO, La Red and the World Bank and was jointly launched as a new initiative "GLIDE".HHazard dates; Hazard ID numbers; Hazard DescriptionsCenter, A.D.R., 2009. GLIDEnumber. Asian Disaster Reduction Center.http://www.glidenumber.net/glide/public/search/search.jspGlobalN/AContinuously updateddaytextEach disaster is given a unique identifier
27Global Disaster and Alert Coordination System (GDACS)GDACS provides alerts and impact estimations after major disasters through a multi-hazard disaster impact assessment service managed by the European Commission Joint Research Centre. To this end, JRC establishes scientific partnerships with global hazard monitoring organisations. Flood disasters are provided by the Dartmouth Flood Observatory. Relevant data is integrated automatically into GDACS alerts and impact estimations.HEarthquake location; Earthquake Impact; Tsunami; Flood; CycloneAlert, Global Disaster. "Coordination System (GDACS)." 2008-02-01]. http://www. gdacs. org.http://www.gdacs.org/alerts/default.aspxGlobalVariableContinuously updatedDayWMS; kml; shapefileSource of information and coordinated relief efforts for current disasters. Has searchable archive of observations and impacts of past events.
28Global Risk Data PlatformThe Global Risk Data Platform allows the visualisation of data on natural hazards, exposure (both human and economical) and risk. Users may perform zooms, pan to a particular area, add different layers of general data including cities, national parks, etc... Different backgrounds can be chosen to highlight different components reflecting vulnerability, such as population distribution, GDP per capita, elevation, landcover. Layers of natural hazards can be added for both events and yearly average for tropical cyclones, droughts, earthquakes, biomass fires, floods, landslides and tsunamis.HHazard occurrence; Risk; ExposureGiuliani, G. and Peduzzi, P., 2011. The PREVIEW Global Risk Data Platform: a geoportal to serve and share global data on risk to natural hazards. Natural Hazards and Earth System Science, 11(1), pp.53-66.http://preview.grid.unep.ch/index.php?preview=map&lang=engGlobalvariableContinuously updateddayWMS; shapefile; raster
29Global Roads Open Access Data Set (gROADS)The Global Roads Open Access Data Set, Version 1 (gROADSv1) was developed under the auspices of the CODATA Global Roads Data Development Task Group. The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. All country road networks have been joined topologically at the borders, and many countries have been edited for internal topology. Source data for each country are provided in the documentation, and users are encouraged to refer to the readme file for use constraints that apply to a small number of countries. Because the data are compiled from multiple sources, the date range for road network representations ranges from the 1980s to 2010 depending on the country (most countries have no confirmed date), and spatial accuracy varies. The baseline global data set was compiled by the Information Technology Outreach Services (ITOS) of the University of Georgia. Updated data for 27 countries and 6 smaller geographic entities were assembled by Columbia University's Center for International Earth Science Information Network (CIESIN), with a focus largely on developing countries with the poorest data coverage.IRoadsCenter for International Earth Science Information Network - CIESIN - Columbia University, and Information Technology Outreach Services - ITOS - University of Georgia. 2013. Global Roads Open Access Data Set, Version 1 (gROADSv1). Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4VD6WCT.http://sedac.ciesin.columbia.edu/data/set/groads-global-roads-open-access-v1GlobalUnknown1980s-2010variableshapefileDo not know how this compares to OSM, focused on devleoping countries with low access to datasets*
30Google Earth3D visualisation of global aerial imagery, points of interest, roads, place names, topography. Can be used to visualise other datasets in *.kml or *.kmz formatE; P; SRemote sensing; Places; Roadshttps://www.google.com/earth/GlobalVariable; FineContinuously updatedYearkmlIt is possible to request shapefiles of google road maps for humanitarian purposes.
31GRDC: Major River Basins of the WorldThe Major River Basins of the World is an ongoing GIS project of the Global Runoff Data Centre (GRDC) that aims at the provision of a set of shape files for the use with Geographic Information Systems (GIS). This dataset was created for the generation of GRDC map products and will be updated from time to time whenever extensions may be required by future GRDC projects. At present the dataset comprises the GIS layer of 405 river basins and 687 associated rivers. The drainage basins are derived from the flow direction data set of the HYDRO1k Elevation Derivative Database. The associated river network was generated on the basis of Major Riverbasins of the BGR in Hanover, Germany. Mean river discharge values calculated with the WaterGAP 2.1 (Universities of Frankfurt and Kassel, 2007) were assigned to each river as attributes.ERiver basins: Annual Discharge; River NamesGlobal Runoff Data Centre (2007): Major River Basins of the World / Global Runoff Data Centre. Koblenz, Germany: Federal Institute of Hydrology (BfG).http://www.bafg.de/GRDC/EN/02_srvcs/22_gslrs/221_MRB/riverbasins_node.htmlGlobal2007Static2007shapefile
32Gridded Population of the World (GPW)GPWv3 depicts the distribution of human population across the globe. GPWv3 provides globally consistent and spatially explicit human population information and data for use in research, policy making, and communications. This is a gridded, or raster, data product that renders global population data at the scale and extent required to demonstrate the spatial relationship of human populations and the environment across the globe.The purpose of GPW is to provide a spatially disaggregated population layer that is compatible with data sets from social, economic, and Earth science fields.The gridded data set is constructed from national or subnational input units (usually administrative units) of varying resolutions. The native grid cell resolution is 2.5 arc-minutes, or ~5km at the equator, although aggregates at coarser resolutions are also provided. Separate grids are available for population count and density per grid cell.PPopulation densityhttp://sedac.ciesin.columbia.edu/data/collection/gpw-v3Global2.5 arc-minutesLast estimate: 2000, Projected: 20155 year1990WMS
33Harvest choiceHarvestChoice generates knowledge products to help guide strategic decisions to improve the well-being of the poor in sub-Saharan Africa through more productive and profitable farming. To this end, HarvestChoice has developed and continues to expand upon a spatially explicit, landscape level evaluation framework. HarvestChoice’s evolving list of knowledge products includes maps, datasets, working papers, country briefs, user-oriented tools, and spatial and economic models designed to target the needs of investors, policymakers, and research analysts who are working to improve the food supply of the world's poor.E; H; I; P; SVarious agricultural and economic datasetsVaries by maphttp://harvestchoice.org/products/dataAfricaVariable; Fine; MediumVariableVariableVariablecsv, ascii, geotiffHarmonising various agricultural datasets
34Hydro1KHYDRO1k is a geographic database developed to provide comprehensive and consistent global coverage of topographically derived data sets, including streams, drainage basins and ancillary layers derived from the USGS' 30 arc-second digital elevation model of the world (GTOPO30). HYDRO1k provides a suite of geo-referenced data sets, both raster and vector, which will be of value for all users who need to organize, evaluate, or process hydrologic information on a continental scale.ERiver network; Flow direction; River basinsVerdin, K. L. (2011). ISLSCP II HYDRO1k elevation-derived products. ISLSCP Initiative II Collection, edited by: Hall, FG, Collatz, G., Meeson, B., Los, S., Brown de Colstoun, E., and Landis, D. Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA, doi, 10.https://lta.cr.usgs.gov/HYDRO1KGlobal1 × 1 km2012Static2012shapefile; raster
35HydroSHEDSHydroSHEDS is a mapping product that provides hydrographic information for regional and global-scale applications in a consistent format. It offers a suite of geo-referenced data sets (vector and raster) at various scales, including river networks, watershed boundaries, drainage directions, and flow accumulations. HydroSHEDS is based on high-resolution elevation data obtained during a Space Shuttle flight for NASA's Shuttle Radar Topography Mission (SRTM).ERiver network; Flow directionLehner, B., Verdin, K., & Jarvis, A. (2006). HydroSHEDS technical documentation, version 1.0. World Wildlife Fund, Washington, DC. Available from: www. worldwildlife. org/hydrosheds.http://hydrosheds.cr.usgs.gov/index.phpGlobal3 arc-second - 5 arc-second; Regional2007Staticshapefile; raster
36KCL Geodata portal: AsterPAAThis is a Google Earth implementation of the ASTER-Protected Areas Archive (now 'TerraLook'). ASTER-PAA-GE includes some 4000+ Landsat, ASTER and IKONOS images covering protected areas and other areas of interest and spanning the period 1972-present. Users can view the availability of scenes year by year and zoom, pan and tilt to view scenes of interest at full resolution.ERemote sensinghttp://geodata.policysupport.org/asterpaageGlobal Protected areas15 m ×15 m; 30 m × 30 m1972 - Presentday1972kmlRemote sensing images for protected areas, can use to detect land cover changes
37KCL Geodata portal: DamsThis is a global database of dams developed by digitising visible dams in Google Earth and naming them. The database has been developed as part of the pantropical hydrology research at King's College London (http://www.ambiotek.com/tropicalhydrology) . We have used it to examine hydrological inputs to these dams and the impacts of climate and land use change. It is made available to the user community in raw and unfinished form in the hope that others will contribute to its development so that it will grow in use and utility.IDamsMulligan, M. Saenz-Cruz , L., van Soesbergen, A., Smith,V.T. and Zurita,L (2009) Global dams database and geowiki. Version 1. http://geodata.policysupport.org/dams. Version 1.http://geodata.policysupport.org/damsGlobal2011?kmlGlobal database of dams mapped in Google earth
38Kenya National Bureau of StatisticsNational official statistical bureau for Kenya, contains various socioeconomic datasetsP; SSocial; Economichttp://www.knbs.or.ke/index.phpKenya
39Kenya NewspapersOnline access to Kenyan NewspapersHNews reportshttp://www.onlinenewspapers.com/kenya.htmKenyaN/AContinuously updateddaytextList of 7 Nairobi newspapers with websites
40Kenya Open DataThe Kenya Open Data Portal makes Public Government datasets accessible for free to the public in easy reusable formats, supporting the Government's drive to proactively inform citizens and be accountable.E; P; SDemographics; Socioeconomic Indicators; Public Mining; County Boundaries; Building structure material; Hazardshttps://opendata.go.ke/KenyaVariable; countyContinuously updatedYearVariableshapefile; csv; xls; WMSSome interesting datasets on building materials for houses. Includes map of hazards. Not clear if this is same as Desinventar
41Malawi Spatial Data Portal (MASDAP)MASDAP, a web-based data sharing tool launched in November 2012, managed by the National Spatial Data Center (in the Department of Surveys), in collaboration with the National Statistics Office and a number of technical Ministries. This user-friendly platform is based on free and open-source software and will create a platform for improved inter-agency information collaboration and enhanced public access for awareness-building, research, further knowledge product creation and decision support.E; H; SFlooding; agriculture; land cover; various otherhttp://www.masdap.mw/maps/MalawivariableContinuously updatedVariableWMSPortal for people to share maps they have created. All sorts of different topics. Quality control and metadata not always clear.
42Map KiberaE; I; P; SSewage; roadshttp://www.communityledtotalsanitation.org/blog/africasan-urban-clts-and-some-promising-connectionsKibera (area of Nairobi, Kenya)FineUnknownUnknownpdfNot direct link but link to some of the maps created*
43MODIS Active Fire and Burned AreaThe MODIS active fire product detects fires in 1km pixels that are burning at the time of overpass under relatively cloud-free conditions using a contextual algorithm, where thresholds are first applied to the observed middle–infrared and thermal infrared brightness temperature and then false detections are rejected by examining the brightness temperature relative to neighboring pixels (Giglio, L. et al. 2003).HFire location; Burned areaGiglio, L., Descloitres, J., Justice, C.O. and Kaufman, Y.J., 2003. An enhanced contextual fire detection algorithm for MODIS. Remote sensing of environment, 87(2), pp.273-282.http://modis-fire.umd.edu/Global250 × 250 m to 1 × 1 kmContinuously updated2 dayraster
44NASA Blue MarbleELanduseStöckli, R., Vermote, E., Saleous, N., Simmon, R., & Herring, D. (2005). The Blue Marble Next Generation-A true color earth dataset including seasonal dynamics from MODIS. Published by the NASA Earth Observatory.http://earthobservatory.nasa.gov/Features/BlueMarble/Global500 × 500 mMonthly updatedMonthSeasonal land/snow cover dynamics from MODIS imagery
45NASA Global Landslide CatalogThis study compiles a landslide catalog for rainfall triggered events for several years, drawing upon news reports, scholarly articles, and other hazard databases to provide a landslide catalog at the global scale. While this database may only represent a subset of rainfall-triggered landslides globally, due to lack of reports, it presents a lower boundary on the number of events globally and provides initial insight into the spatial/temporal statistical trends in landslide distribution and impact.HLocation, date and trigger of landslides across the globeKirschbaum, D. B., Adler, R., Hong, Y., Hill, S., & Lerner-Lam, A. (2010). A global landslide catalog for hazard applications: method, results, and limitations. Natural Hazards, 52(3), 561-575.http://gcmd.nasa.gov/records/GCMD_NASA_GSFC_TRMM_LANDSLIDE_INVENTORY.htmlGlobalVariable2008Variable2007csvDue to methods of data collection, this database will not be complete. Each landslide has an estimate of how certain the record is
46NASA Socioeconomic Data and Applications CenterSEDAC, the Socioeconomic Data and Applications Center, is one of the Distributed Active Archive Centers (DAACs) in the Earth Observing System Data and Information System (EOSDIS) of the U.S. National Aeronautics and Space Administration. Focusing on human interactions in the environment, SEDAC has as its mission to develop and operate applications that support the integration of socioeconomic and earth science data and to serve as an "Information Gateway" between earth sciences and social sciences.E; H; P; SLandslide risk; Flood risk; Earthquake risk; socieconomic dataDeichmann, U., Balk, D. and Yetman, G., 2001. Transforming Population Data for Interdisciplinary Usages: From census to grid. NASA Socioeconomic Data and Application Center (SEDAC).http://sedac.ciesin.columbia.edu/data/sets/browse/6GlobalCoarseVaries, typically year 2000 estimatesVariableWMS; pdfSome good maps of risk but coarse spatial resolution (global scale)
47NASA WorldviewThe Worldview tool from NASA's EOSDIS provides the capability to interactively browse global, full-resolution satellite imagery and then download the underlying data. Most of the 100+ available products are updated within three hours of observation, essentially showing the entire Earth as it looks "right now". This supports time-critical application areas such as wildfire management, air quality measurements, and flood monitoring. Arctic and Antarctic views of several products are also available for a "full globe" perspective. Browsing on tablet and smartphone devices is generally supported for mobile access to the imagery.ERemote sensing; MODIS productshttps://earthdata.nasa.gov/labs/worldview/Global250 × 250 m to 1 × 1 kmContinuously updated2 daysrasterVarious MODIS products. Can browse much like Google Earth
48National Statistical Office of MalawiNational government statistical office, containing links to various census datasetsP; SSocial; Economichttp://www.nsomalawi.mw/Malawi
49NOAA ENSO indexEl Niño/Southern Oscillation (ENSO) is the most important coupled ocean-atmosphere phenomenon to cause global climate variability on interannual time scales. Here we attempt to monitor ENSO by basing the Multivariate ENSO Index (MEI) on the six main observed variables over the tropical Pacific. These six variables are: sea-level pressure (P), zonal (U) and meridional (V) components of the surface wind, sea surface temperature (S), surface air temperature (A), and total cloudiness fraction of the sky (C). These observations have been collected and published in ICOADS for many years. The MEI is computed separately for each of twelve sliding bi-monthly seasons (Dec/Jan, Jan/Feb,..., Nov/Dec). After spatially filtering the individual fields into clusters (Wolter, 1987), the MEI is calculated as the first unrotated Principal Component (PC) of all six observed fields combined. This is accomplished by normalizing the total variance of each field first, and then performing the extraction of the first PC on the co-variance matrix of the combined fields (Wolter and Timlin, 1993). In order to keep the MEI comparable, all seasonal values are standardized with respect to each season and to the 1950-93 reference period.E; HEl Nino Southern Oscillation IndexWolter, K. and Timlin, M.S., 2011. El Niño/Southern Oscillation behaviour since 1871 as diagnosed in an extended multivariate ENSO index (MEI. ext).International Journal of Climatology, 31(7), pp.1074-1087.http://www.esrl.noaa.gov/psd/enso/mei/table.htmlGlobalGlobalContinuously updatedMonth?csv
50NOAA International Best Track Archive for Climate Stewardship (IBTrACS)Contains the most complete global set of historical tropical cyclones available. Combines information from numerous tropical cyclone datasets. Simplifies inter-agency comparisons by providing storm data from multiple sources in one place. Provides data in popular formats to facilitate analysis. Checks the quality of storm inventories, positions, pressures, and wind speeds, passing the information on to the user.HTropical storm trackshttp://www.ncdc.noaa.gov/ibtracs/index.phpGlobalVariable2013Variable1851jpeg
51NOAA Natural HazardNCEI archives and assimilates tsunami, earthquake and volcano data to support research, planning, response and mitigation. Long-term data, including photographs, can be used to establish the history of natural hazard occurrences and help mitigate against future events.HTsunami events, Tsunami observations, Significant earthquakes, significant volcanic erruptions, DART stations, Plate boundarieshttp://maps.ngdc.noaa.gov/viewers/hazards/?layers=0GlobalUnknownContinuously updateddayWMSSome impact information for past hazard events
52NOAA Space Weather Prediction CenterObservations and forecasts of space weather and potential impactsHSolar wind; Electron, proton and x-ray fluxhttp://www.swpc.noaa.gov/products-and-dataGlobalUnknownContinuously updated1 minute; 5 minute; 1 hour2000csvSatellite observations and forecasts
53NOAA Volcano DataSearchable databases of significant volcanic erruptions, loations and volcanic ashHVolcano locations; volcano types; volcano erruption dateshttp://www.ngdc.noaa.gov/nndc/struts/results?type_0=Like&query_0=&op_8=eq&v_8=Kenya&type_10=EXACT&query_10=None+Selected&le_2=&ge_3=&le_3=&ge_2=&op_5=eq&v_5=&op_6=eq&v_6=&op_7=eq&v_7=&t=102557&s=5&d=5GlobalUnknownContinuously updateddayxls
54Nyasa Times, MalawiOnline newspaper for Malawi that could be used to search for records of hazard eventsHNews reportshttp://www.nyasatimes.com/MalawiN/AContinuously updateddaytextSearchable archive of news stories. Searching the word 'flood' returns ~440 articles
55Open Data for AfricaLinks to open data portals for many African countries. Also contains various databases that area Africa wideP; SDemographics; Socioeconomic Indicatorshttp://opendataforafrica.org/AfricaCountryContinuously updatedYearWMS; pdf; csvNot much spatial data but nice website (with a page for each African nation) for finding demographic/socioeconomic data
56Open Street MapOpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world.I; SRoads; Railways; Administrative Boundaries; Gazeteer; Landuse; Points of Interest; Water; Building outlinesHaklay, M., & Weber, P. (2008). Openstreetmap: User-generated street maps.Pervasive Computing, IEEE, 7(4), 12-18.http://www.openstreetmap.org/#map=5/51.500/-0.100GlobalVariable; FineContinuously updatedDayshapefile
57OpenLayers Plugin for QGISE; I; P; SRemote sensing; Road Maps; Public transportationhttps://plugins.qgis.org/plugins/openlayers_plugin/GlobalVariable; FineContinuously updatedYearWMSUseful basemaps
58OpenQuake (Global Earthquake Model)OpenQuake Platform, by the GEM Foundation. This web-based platform offers an interactive environment in which users can access, manipulate, share and add data, and explore models and tools for integrated assessment of earthquake risk.Hhttps://platform.openquake.org/maps/GlobalvariableContinuously updatedUnknownWMS; softwareCan calculate earthquake risk maps. Need to download software to do this. Requires registration
59Relief webService of the UNOCHA to share digital information about disasters and resilienceHHazard occurrenceRusu, S., 1998. Early warning and information: The role of ReliefWeb. Early Warning an Early Response, Columbia International Affairs Online, http://www. cc. columbia. edu/sec/dlc/ciao/book/schmeidl.http://reliefweb.int/GlobalvariableContinuously updateddayWMSReports on the largest disasters
60SADC Groundwater Grey Literature ArchiveE; HHyrdogeological mapshttp://www.bgs.ac.uk/sadc/index.cfmSouthern AfricavariableContinuously updatedvariablepdf
61SERVIR GlobalA joint development initiative of National Aeronautics and Space Administration (NASA) and United States Agency for International Development (USAID), SERVIR works in partnership with leading regional organizations world-wide to help developing countries use information provided by Earth observing satellites and geospatial technologies for managing climate risks and land use. We empower decision-makers with tools, products, and services to act locally on climate-sensitive issues such as disasters, agriculture, water, and ecosystems and land use.E; HHyrdrological models, stream flow datahttp://catalogue.servirglobal.net/GlobalvariableContinuously updatedvariable
62Smart Infrastructure Planner (for conservation)IInfrastructure impact on ecologyhttp://www.worldwildlife.org/publications/smart-infrastructure-planner-betaGlobalVariable2012Arc-GIS add-on toolDecision making tool for planning infrastructure and minimising impact on conversation and wildlife
63Smithsonian Institution Global Volcanism ProgramE; HVolcano locations; volcano types; volcano erruption dateshttp://www.volcano.si.edu/GlobalN/AContinuously updatedMonth?WMS
64SRTMEDEMJarvis, A., Reuter, H. I., Nelson, A., & Guevara, E. (2008). Hole-filled SRTM for the globe Version 4. available from the CGIAR-CSI SRTM 90m Database (http://srtm. csi. cgiar. org).http://eros.usgs.gov/Global30 × 30 m; 90 × 90 mStaticraster
65TAMSATTropical Applications of Meteorology using SATellite data and ground-based observations. We use satellite imagery, calibrated against ground observations for estimating rainfall for Africa.E; HCumulative rainfallMaidment, Ross I., et al. "The 30 year TAMSAT African rainfall climatology and time series (TARCAT) data set." Journal of Geophysical Research: Atmospheres 119.18 (2014).http://www.met.reading.ac.uk/tamsat/about/Africa4 kmContinuously updatedDaily - Monthly1983NetCDF Tom Etherington
66The Odora Africa Pipelines MapIOil pipelines; Gas pipelines; Products pipelineshttp://www.theodora.com/pipelines/africa_oil_gas_and_products_pipelines_map.htmlAfricaCoarse2008StaticWMSMetadata and quality control not clear.
67UCAR Global Lightning NetworkGlobal database of lightning occurrence. The GLN is comprised of advanced lightning stroke detection sensors strategically located at more than 150 international hosting partner sites, in addition to the detectors that make up the North American Precision Lightning Network (all NAPLN data is included in the GLN data feed). In the key deployment areas, including North and South America, Europe, and Asia/Australia, GLN detection efficiency values are as high as 90-95% with corresponding location accuracies less than 1 km. Real-time data are collected in a 1-minute bin, and contain cloud-to-ground lightning stroke data and some cloud flash discharges. Because GLN detection efficiency and location accuracy can vary geographicallyHLightning occurrence, time and locationAbarca, S. F., Corbosiero, K. L., & Vollaro, D. (2011). The World Wide Lightning Location Network and convective activity in tropical cyclones.Monthly Weather Review, 139(1), 175-191.http://www.unidata.ucar.edu/data/lightning/gln.htmlGlobal1 kmContinuously updated1 minuteUnknownasciiRequires registration. Spatial accuracy depends on number of sensors in that area
68UN-SPIDER Knowledge PortalUnited Nations Office for Outer Space Affairs Knolwedge Portal searchable database of links to various remotely sensed data sources.E; H; SEnvironmental datasets; Hazard datasetshttp://www.un-spider.org/links-and-resources/data-sourcesGlobalVariableUnknownVariableVariableVariable
69UNEP Environmental Data ExplorerE; H; I; P; SInfrastructure; Environment; Socioeconomichttp://geodata.grid.unep.ch/Globalvariale; CoarseVariableVariableWMS; text
70UNISYS Tropical StormsThis page provides access to a wealth of hurricane information including charts on the track of the storm plus a text based table of tracking information. The table includes position in latitude and longitude, maximum sustained winds in knots, and central pressure in millibars.HTropical storm trackshttp://weather.unisys.com/hurricane/Global (oceans where tropical storms form)Variable2015Variable1851csv
71United Nations Food and Agriculture Organization (FAO) GeoNetworkE; H; I; P; SBoundaries; Agriulture; Ecology; Forestry; Health; Population; Soil; Infrastructure; Hyrdologyhttp://www.fao.org/geonetwork/srv/en/main.homeGlobalCoarse (30 arcsec - 10 arc min; 1: 1 million - 1: 10 million)Continuously updatedYearvariableSome good country level datasets. Useful pool of information from various sources. Not all datasets are digital or available
72University of Nairobi library archivesHNews reports; meeting minutes; private collectionshttp://uonlibrary.uonbi.ac.ke/node/724KenyaN/AContinuously updateddaypdf; paper; microfilm
73USGS Earthquakes ProgramHEarthquake epicentre; Ground shakinghttp://earthquake.usgs.gov/GlobalFineContinuously updatedhourxml; kml; shapefile; raster
74USGS Surficial Geology of AfricaE; HSurface GeologyFeliks M. Persits, Thomas S. Ahlbrandt, Michelle L. Tuttle, Ronald R. Charpentier, Michael E. Brownfield and Kenneth I. Takahashi (2006) 'Map showing Geology, Oil and Gas Fields, and Geologic Provinces of Africa', U.S. Geological Survey Open-File Report OFR-97-470-A, Denver, Coloradohttp://energy.usgs.gov/OilGas/AssessmentsData/WorldPetroleumAssessment/WorldGeologicMaps.aspxAfrica1:5,000,0001996StaticshapefileScanned from paper geologic maps
75Virtual KenyaE; HHazards; Mapshttp://maps.virtualkenya.org/KenyaVariable; county; FineContinuously updatedWMS; shapefileSeems to be a place for people to create mashups and upload datasets. Metadata and quality control not clear.
76World Health Organisation Global Health ObservatoryDatabse of mortality and health indicators. Not investigated in detail but possibly of use for comparison to geophysical hazardsP; SSocioeconomic tableshttp://apps.who.int/gho/data/node.country.country-MWI?lang=enGlobalCountry2014year~2002xls
77WUDAPTThe World Urban Database and Access Portal Tools (WUDAPT) is an initiative to collect data on the form and function of cities around the world. The impact of cities on the climate at urban, regional and global scales is a topic of considerable debate. Much of the relevant research to date has been focused on mapping urban centers using demographic and administrative information, often supplemented by remote sensing. However, these data provide no information on the internal make-up of cities, which is important for understanding their impact on the environment as well as their vulnerability to change. The most recent report from the Intergovernmental Panel on Climate Change (IPCC) notes the dearth of information on urban areas. The WUDAPT initiative is designed to fill this gap.E; ILocal climate zones within citiesMills, G., Ching, J., See, L., & Betchel, B. (2015). An introduction to the WUDAPT project. In 9th International Conference on Urban Climate.http://www.wudapt.orgGlobalVariableUnknownVariableUnknown (based on variable data)UnknownNot clear if data is yet availble (Mar 2016)Mark Mulligan
78WWLLN World Wide Lighning Location NetworkThe World Wide Lightning Location Network is operated by the University of Washington in Seattle with lightning location sensors at VLF (3-30 kHz).Most ground-based observations in the VLF band are dominated by impulsive signals from lightning discharges called “sferics”. Significant radiated electromagnetic power exists from a few hertz to several hundred megahertz, with the bulk of the energy radiated at VLF. With our network of sferic sensors we are producing regular maps of lightning activity over the entire Earth. Our map showing the entire world uses coloured spots to indicate lightning strokes (red stars inside an open circle are active WWLLN lightning sensor locations). Click on the map for explanation.HLightning occurrence, time and locationRodger, C. J., Werner, S., Brundell, J. B., Lay, E. H., Thomson, N. R., Holzworth, R. H., & Dowden, R. L. (2006, December). Detection efficiency of the VLF World-Wide Lightning Location Network (WWLLN): initial case study. InAnnales Geophysicae (Vol. 24, No. 12, pp. 3197-3214).http://wwlln.net/new/GlobalUnknownContinuously updated1 minute (commercial); 10 minute (accademic)2004Spatial accuracy depends on number of sensors in that area/ 30% detection rate. Have to purchase on CD ROM