The LIMPOPO River Basin data repository in Dataverse is designed to facilitate the interoperability of diverse data sources created to support the management and conservation efforts in the Limpopo River Basin. This repository catalogs various datasets developed by the International Water Management Institute (IWMI) as part of the CGIAR Digital Innovation Initiative's project on developing a prototype digital twin for the basin.
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1 to 10 of 11 Results
Shapefile as ZIP Archive - 11.0 KB - MD5: 8159dd22905e0d5c575c62109ac3506a
Unverified discharge stations that have not been verified for accuracy or compliance.the data are gethered from AWARE platform fetching from DWS (Department of Water and Sanitation)
Compressed Archive - 364.1 KB - MD5: 2f8e9b149847c7e65c7483ef65b57a45
The development of a channel network is a crucial part of watershed delineation. It involves identifying the streams and rivers within a watershed based on terrain data. This process uses the Digital Elevation Model (DEM) to simulate the flow of water across the landscape, determining where streams are likely to form.
Compressed Archive - 20.7 MB - MD5: 1480b806284fc613243bd5e715103a59
This comprehensive land use dataset provides a granular understanding of the Limpopo Basin's surface composition. It reveals the spatial distribution of various land cover types – natural vegetation, agricultural lands, urban areas, and protected ecosystems – offering a valuable foundation for informed decision-making. Stakeholders can leverage thi...
Compressed Archive - 434.6 KB - MD5: dc5e59657379da9208c829a1a57af1df
Leveraging this comprehensive soil data collection, stakeholders can gain a nuanced understanding of the Limpopo Basin's pedosphere (soil layer). This data unveils the intricate spatial distribution of soil types, their physical and chemical properties (texture, fertility, erodibility), and associated vulnerability to degradation. This knowledge em...
Compressed Archive - 880.0 KB - MD5: 026207787763fe8600a81be4a0aded90
Creating precise basin boundaries is essential for hydrological modeling and effective water resource management. The Soil and Water Assessment Tool (SWAT) integrated with QGIS offers a robust interface to achieve this. this optimized approach ensures that hydrological models are based on precise watershed and sub-basin delineations, facilitating b...
Compressed Archive - 2.1 KB - MD5: 56745a9a66543cd009fc1d24f12810c7
Dams play a critical role in hydrological systems by altering natural water flow, creating reservoirs, and providing benefits such as water supply, flood control, irrigation, and hydroelectric power. Dams data gethered using google maps,monographs and characteristics data - Massingir dam authority
Shapefile as ZIP Archive - 1.3 MB - MD5: d04ff30f7fea3bdde68eb9d7bea73193
Water bodies, including lakes, ponds, reservoirs, and rivers, significantly influence the hydrological dynamics of a watershed. Waterbodies data gethered from Digital Earth Africa
Shapefile as ZIP Archive - 21.1 KB - MD5: a4b7d0f220229822e854f642e7b6817e
Verified dischareg stations that have been verified for accuracy or compliance.the data are gethered from AWARE platform fetching from DWS (Department of Water and Sanitation).
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