Soil and landcover databases for SWAT+ applications in South Africa including cross-border catchment data

Description

The input datasets including the following. • Landcover maps linked to SWAT landcover codes including South African National Landcover (2014, 2018, 2020) at 20 to 30 m resolution with 72 to 73 landcover classes, and Finer Resolution Observation and Monitoring of Global Landcover for Africa version 2 (2017) with 8 landcover classes at 30 m resolution for cross-border catchment areas. • A soil map with texture and hydraulic parameter values derived from pedotransfer functions of the Land Type Database of South Africa useable at a scale of 1:250 000, as well as soil maps for cross-border catchments derived from the Soil and Agronomy Data Cube for Africa.

Steps to reproduce

Le Roux, J.J., Mararakanye, N., Mudaly, L., Weepener, H.L., van der Laan, M. 2022. Development of a South African national input database to run the SWAT model in a GIS, WRC report 3053/1/22. Water Research Commission: Pretoria, South Africa. ISBN 978-0-6392-0454-3. https://wrcwebsite.azurewebsites.net/wp-content/uploads/mdocs/3053%20final.pdf van der Laan, M., M., Viviers, C., Maseko, S., Schutte, C., Thomson, A., Khoboko, P., Silberbauer, M, le Roux, J.J., Mudaly, L., Weepener, H., Hoogenboom, G., Raghavan, S., Clark, D., Kunz, R., 2024: Development of the Water Research Observatory and case studies on machine learning applications, WRC report 3121/1/23. ISBN 978-0-6392-0593-9. Water Research Commission: Pretoria, South Africa. https://www.wrc.org.za/wp-content/uploads/mdocs/3121%20final.pdf

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