This dataset shows water bodies in Africa including lakes, reservoir, and lagoon. Data is curated from RCMRD Geoportal. The Regional Centre for Mapping of Resources for Development (RCMRD) was established in Nairobi – Kenya in 1975 under the auspices of the United Nations Economic Commission for Africa (UNECA) and the then Organization of African Unity (OAU), today African Union (AU). RCMRD is an inter-governmental organization and currently has 20 Contracting Member States in the Eastern and Southern Africa Regions; Botswana, Burundi, Comoros, Ethiopia, Kenya, Lesotho, Malawi, Mauritius, Namibia, Rwanda, Seychelles, Somali, South Africa, South Sudan, Sudan, Swaziland, Tanzania, Uganda, Zambia and Zimbabwe. To learn more about RCMRD, please visit http://www.rcmrd.org/

South Africa inland water bodies/features (including lakes, canals) with descriptions. Provided by DIVA-GIS

The Digital Earth Africa continental Waterbodies Monitoring Service identifies more than 700,000 water bodies from over three decades of satellite observations. This service maps persistent and seasonal water bodies and the change in their water surface area over time. Mapped water bodies may include, but are not limited to, lakes, ponds, man-made reservoirs, wetlands, and segments of some river systems.On a local, regional, and continental scale, this service helps improve our understanding of surface water dynamics and water availability and can be used for monitoring water bodies such as wetlands, lakes and dams in remote and/or inaccessible locations.

Shapefile of inland water bodies in Africa. This dataset originates from the Digital Chart of the World 1:1000000, 1998. The waterbodies for Africa have been characterized (as lake, lagoon, reservoir etc.) and named (if the names were easily available). The data layer presented contains all the waterbodies that had a name and were not characterized as river.

This dataset derives from the RWDB_SWB-PY shapefile data layer which covers the entire globe and is comprised of 8750 derivative vector framework library features derived based on 1:3,000,000 data originally from RWDBII. The original dataset is an enhanced SWB polygonal derivative based on 4 separate RWDB2 Library layers. The layer provides nominal analytical/mapping at 1:3,000,000. Acronyms and Abbreviations: RWDB2 or RWDB II- Relational World Database II SWB - Surface Water Body

Public health is a major concern in Africa, where malaria epidemic is a recurring problem. Factors supporting these diseases include: 1) environmental conditions leading to surface water for reproduction of mosquitoes, which are vectors that commonly carry the infectious microbes; 2) humidity for adult mosquito survival; and 3) specific air temperature to sustain development rates of both the vector and parasite populations. Providing information on the location of open waters where these parasites thrive is crucial in mitigating the problem

Public health is a major concern in Africa, where malaria epidemic is a recurring problem. Factors supporting these diseases include:1) environmental conditions leading to surface water for reproduction of mosquitoes, which are vectors that commonly carry the infectious microbes;2) humidity for adult mosquito survival; and3) specific air temperature to sustain development rates of both the vector and parasite populations.Providing information on the location of ...

Shape files on Morocco's administrative regions, population, infrastructure and in-country water bodies

Information about the supply of groundwater and surface water in a given land area, including its ownership, control and access. Includes, for example, information about: individual water sources, capacity, quality, and seasonality; means of physical control, diversion, and distribution; and ownership, legal control and access rights. Uses of water include agricultural, industrial, household, recreational and environmental activities.

This map features Africa Land Cover at 30m resolution from MDAUS BaseVue 2013, referencing the World Land Cover 30m BaseVue 2013 layer.Land cover data represent a descriptive thematic surface for characteristics of the land's surface such as densities or types of developed areas, agricultural lands, and natural vegetation regimes. Land cover data are the result of a model, so a good way to think of the values in each cell are as the predominating value rather than the only characteristic in that cell.Land use and land cover data are critical and fundamental for environmental monitoring, planning, and assessment.Dataset SummaryBaseVue 2013 is a commercial global, land use / land cover (LULC) product developed by MDA. BaseVue covers the Earth’s entire land area, excluding Antarctica. BaseVue is independently derived from roughly 9,200 Landsat 8 images and is the highest spatial resolution (30m), most current LULC product available. The capture dates for the Landsat 8 imagery range from April 11, 2013 to June 29, 2014. The following 16 classes of land use / land cover are listed by their cell value in this layer: Deciduous Forest: Trees > 3 meters in height, canopy closure >35% (<25% inter-mixture with evergreen species) that seasonally lose their leaves, except Larch.Evergreen Forest: Trees >3 meters in height, canopy closure >35% (<25% inter-mixture with deciduous species), of species that do not lose leaves. (will include coniferous Larch regardless of deciduous nature).Shrub/Scrub: Woody vegetation <3 meters in height, > 10% ground cover. Only collect >30% ground cover.Grassland: Herbaceous grasses, > 10% cover, including pasture lands. Only collect >30% cover.Barren or Minimal Vegetation: Land with minimal vegetation (<10%) including rock, sand, clay, beaches, quarries, strip mines, and gravel pits. Salt flats, playas, and non-tidal mud flats are also included when not inundated with water.Not Used (in other MDA products 6 represents urban areas or built up areas, which have been split here in into values 20 and 21).Agriculture, General: Cultivated crop landsAgriculture, Paddy: Crop lands characterized by inundation for a substantial portion of the growing seasonWetland: Areas where the water table is at or near the surface for a substantial portion of the growing season, including herbaceous and woody species (except mangrove species)Mangrove: Coastal (tropical wetlands) dominated by Mangrove speciesWater: All water bodies greater than 0.08 hectares (1 LS pixel) including oceans, lakes, ponds, rivers, and streamsIce / Snow: Land areas covered permanently or nearly permanent with ice or snowClouds: Areas where no land cover interpretation is possible due to obstruction from clouds, cloud shadows, smoke, haze, or satellite malfunctionWoody Wetlands: Areas where forest or shrubland vegetation accounts for greater than 20% of vegetative cover and the soil or substrate periodically is saturated with, or covered by water. Only used within the continental U.S.Mixed Forest: Areas dominated by trees generally greater than 5 meters tall, and greater than 20% of total vegetation cover. Neither deciduous nor evergreen species are greater than 75% of total tree cover. Only used within the continental U.S.Not UsedNot UsedNot UsedNot UsedHigh Density Urban: Areas with over 70% of constructed materials that are a minimum of 60 meters wide (asphalt, concrete, buildings, etc.). Includes residential areas with a mixture of constructed materials and vegetation where constructed materials account for >60%. Commercial, industrial, and transportation i.e., Train stations, airports, etc.Medium-Low Density Urban: Areas with 30%-70% of constructed materials that are a minimum of 60 meters wide (asphalt, concrete, buildings, etc.). Includes residential areas with a mixture of constructed materials and vegetation, where constructed materials account for greater than 40%. Commercial, industrial, and transportation i.e., Train stations, airports, etc.MDA updated the underlying data in late 2016 and this service was updated in February 2017. An improved selection of cloud-free images was used to produce the update, resulting in improvement of classification quality to 80% of the tiles for this service.What can you do with this layer?This layer can be used to create maps and to visualize the underlying data across the ArcGIS platform. It can also be used as an analytic input in ArcMap and ArcGIS Pro.This layer has query, identify, and export image services available. The layer is restricted to an 16,000 x 16,000 pixel limit, which represents an area of nearly 300 miles on a side. This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.

The African Water Resource Database (AWRD) is a set of data and custom-designed tools, combined in a GIS analytical framework aimed at facilitating responsible inland aquatic resource management with a specific focus on inland fisheries and aquaculture. It provides a valuable instrument to promote food security. The AWRD data archive includes an extensive collection of datasets covering the African continent, including: surface waterbodies, watersheds, aquatic species, rivers, political boundaries, population density, soils, satellite imagery and many other physiographic and climatological data. To display and analyse the archival data, it also contains a large assortment of new custom applications and tools programmed to run under version 3 of the ArcView GIS software environment (ArcView 3.x).

The Land and Water Development Division of FAO is developing a global information system of water and agriculture with the objective to provide users with comprehensive information on the state of agricultural water management across the world. Such a system should help in assessing the role of irrigation in global food production and the relation between irrigation and water scarcity. The system combines classical country-based statistics on all aspects of agricultural water management (water resources and use, irrigation, drainage, etc.), known as AQUASTAT, and a set of maps, data and models combined through a Geographical Information System (GIS). Africa is the first continent for which the information system has been completed.

The Atlas of Water Resources and Irrigation in Africa is available on CD-ROM published as part of FAO Land and Water Digital Media Series (#13). GIS coverages from the Atlas can be downloaded from the FAO-UN GeoNetwork Portal to Spatial Data and Information at [http://www.fao.org/geonetwork/srv/en/main.search]. The coverages are also available as interactive maps.

The CD-ROM contains all the information collected and processed concerning the African continent, namely:

1. A set of digital tables and maps on water resources and irrigation at continental level and by river basin (major basins and sub-basins) resulting from simulations on the water balance model.
2. A set of GIS coverages and Avenue scripts on water resources and irrigation (Annex 1) intended for advanced users willing to adapt the model to their specific needs.
3. A georeferenced database of African dams in Microsoft® Excel.
4. AQUASTAT country profiles for the 53 countries of Africa.

GIS coverages and interactive maps from FAO-UN GeoNetwork include:

1. Hydrological Basins in Africa
2. Inland Water Bodies in Africa
3. Rivers of Africa
4. Database of African Dams
5. Irrigation Cropping Pattern Zones in Africa

The programme was partly financed by the Dutch Directorate-General for International Cooperation through the Associate Professional Officer Programme. The geographical modelling tool was initially developed with technical assistance of the Center for Research in Water Resources of the University of Texas in Austin under the joint FAO/UNESCO project Water Balance of Africa.

Broad typologies of irrigation systems in project countries were identified by analyzing distribution of area equipped for irrigation in relation to climatic conditions, (proximity to) water resources and coastline, and dominant land cover. The distribution of irrigation systems is derived from the Global Map of Irrigation Areas input files, but caution is needed as not all information is validated or updated. It is foreseen that the country level analysis will better refine this preliminary review. The land cover (FAO, 2014) input can help identifying valley bottom and wetlands where water is managed under no or partial control, most commonly found in humid and sub-humid climates. Proximity to (perennial) rivers and water bodies give an indication on whether the irrigation area is serviced by surface or groundwater, although caution is needed at this scale, as reliable information on irrigation infrastructures is not consistently available. Proximity to coastline and deltas are used to characterize irrigation areas which rely on coastal aquifers.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

IntroductionBroad Brush Surveys (BBS) are a rapid, qualitative assessment approach using four meta-indicators -physical features, social organization, social networks and community narratives - to gauge how local context interfaces with service/intervention options, implementation and uptake.MethodsIn 2021, responding to rapid urbanization and the accompanying need for water and sanitation services, BBS was innovatively applied by social scientists and engineers to assess water and sanitation infrastructure, both formal and informal, in two African cities - Lusaka and Cape Town. In four urban communities, identified with local stakeholders, BBS data collection included: four mapping group discussions with local stakeholders (participants = 24); eight transect walks/drives; 60 structured observations of water and sanitation options, transport depots, health facilities, weekends, nights, rainy days; seven mixed gender focus group discussions (FGDs) with older and young residents (participants = 86); 21 key-informant interviews (KII, participants = 21).ResultsFindings were rapidly summarized into community profiles, including narrative reports, maps and posters, and first discussed with community stakeholders, then at national/provincial levels. The meta-indicator framework and set sequence of qualitative activities allowed the detail on water and sanitation to gradually emerge. For example, the mapping discussion identified water sources considered a risk for waterborne infections, further observed in the transect walks and then structured observations, which compared their relative condition and social interactions and what local residents narrated about them. FGDs and KIIs elaborated on the control of these sources, with nuanced detail, including hidden sources and the use of different water sources for different activities also emerging.DiscussionWe demonstrated that despite some limitations, BBS provided useful insight to systems and social processes surrounding formal and informal water and sanitation infrastructure in and across designated urban areas. Furthermore, BBS had the potential to galvanize local action to improve infrastructure, and illuminated the value of informal options in service delivery.

This map features a multi-resolution terrain layer for elevation displayed using the function for tinted hillshade. Terrain represents ground surface elevation and is based on a digital terrain model (DTM) where the lowest measured elevation values have been favored, and features such as structures and vegetation have been eliminated, leaving the best estimate of where the ground surface would be. Ground surface elevation is also known as bare earth elevation.Dataset SummaryThis layer is primarily intended for visualization and exploration tasks scripts. There are multiple datasets available within this layer, and depending on the scale being viewed, data from one of these datasets will be shown:GMTED2010 – Global Multi-res Terrain Elevation Data 2010, from USGS – 30, 15, and 7.5 ArcSecond (approximate resolution 1 km, 500 m, and 250 m per pixel)SRTM – From 60 Degrees N to 58 S. From USGS. – 3 ArcSecond (92.766242 m)NED – Covering Alaska. From USGS. – 2 ArcSecond (61.844162 m)NED – Covering Continental United States, Hawaii, and Mexico. From USGS. – 1 ArcSecond (30.922081 m)NED – Covering Continental United States, Hawaii, and parts of Alaska. From USGS. – 1/3 ArcSecond (10.30736 m)NED – Covering some portions of the Eastern United States. From USGS. – 1/9 ArcSecond (3.435787 m)This layer provides numeric values representing ground surface heights, based on a digital terrain model (DTM). Heights are orthometric (sea level = 0), and water bodies that are above sea level have approximated nominal water heights. In order to most effectively work with this service in ArcGIS Desktop, you will need to use the exact resolutions given above as the cell size geoprocessing environment setting.What can you do with this layer?This layer has server functions defined for following elevation derivatives:Slope DegreesSlope PercentageAspectHillshadePre-symbolized Elevation Tinted Hillshade (shown by default in this map)Pre-symbolized Slope DegreesPre-symbolized AspectThis layer has query, identify, and export image services available. The layer is restricted to a 24,000 x 24,000 pixel limit. This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.Important Note: This layer is available for users with an ArcGIS Organizational subscription. To access this layer, you'll need to sign in with an account that is a member of an organizational subscription. If you don't have an organizational subscription, you can create a new account and then sign up for a 30 day trial of ArcGIS Online This service is currently in beta. For more information, see the Landscape Layers group on ArcGIS Online.

Community engagement and involvement have been increasingly recognized as an ethical and valuable component of health science research over the past two decades. Progress has been accompanied by emerging standards that emphasize participation, two-way communication, inclusion, empowerment, and ownership. Although these are important and noble benchmarks, they can represent a challenge for research conducted in marginalized contexts. This community case study reports on the methods, outcomes, constraints and learning from an NGO-led community engagement project called Bucket Loads of Health, implemented in the Western Cape province of South Africa. The independent project team used multiple participatory visual methods to foster two-way communication between members of two disenfranchised communities, Enkanini and Delft, and a group of water microbiologists at Stellenbosch University who were conducting research in Enkanini. The project was carried out during the 2018 Western Cape water crisis, under the growing threat of “Day Zero”. The resulting visual outputs illustrated the negative impacts of water shortage on health and wellbeing in these community settings and showcased scientific endeavors seeking to address them. Engagement included knowledge exchange combining body maps, role play performances and films created by the community members, with hand maps, posters and presentations produced by the scientists. Whereas these engagement tools enabled reciprocal listening between all groups, their ability to respond to the issues raised was hindered by constraints in resources and capacity beyond their control. An additional core objective of the project was to bring the impacts of water shortage in participating communities, and the work of the research team, to the attention of local government. The case study demonstrates the challenges that politically ambitious community engagement faces in being acknowledged by government representatives. We further the argument that research institutions and funders need to match professed commitments to engagement with training and resources to support researchers and community members in responding to the needs and aspirations surfaced through engagement processes. We introduce the concept of engagement integrity to capture the gap between recommended standards of community engagement and what is realistically achievable in projects that are constrained by funding, time, and political interest.

The goal of developing HydroSHEDS was to generate key data layers to support regional and global watershed analyses, hydrological modeling, and freshwater conservation planning at a quality, resolution and extent that had previously been unachievable.

This map contains the location and associated information of the known cemeteries within Travis county, Texas. Additionally, this map contains public roads, public parks and water bodies information for Travis county.

Alongside scientific knowledge of hazards that may contaminate water sources, those living and working in rural sub-Saharan Africa may have detailed knowledge of potential contamination hazards and where they are located. Participatory mapping has been used as a component of the OneHealthWater project which aims to draw on that knowledge, to better understand geographic patterns of hazards that could contaminate water sources. The technique in this study involves working with small groups or individuals in 10 villages in Siaya County, who are then asked to map the domestic water sources and possible microbiological contamination hazards onto satellite imagery. The outputs may contribute to a better understanding of the potential hazards that may be found around rural water sources in sub-Saharan Africa and ultimately help to improve management of water safety.