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Part 1: Document Description
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Citation |
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Title: |
Limpopo landuse from ESA for the SWAT model for Limpopo River Basin |
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Identification Number: |
doi:10.7910/DVN/ADRSCP |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2024-06-29 |
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Version: |
1 |
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Bibliographic Citation: |
Thilina Madushanka, 2024, "Limpopo landuse from ESA for the SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/ADRSCP, Harvard Dataverse, V1 |
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Citation |
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Title: |
Limpopo landuse from ESA for the SWAT model for Limpopo River Basin |
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Identification Number: |
doi:10.7910/DVN/ADRSCP |
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Authoring Entity: |
Thilina Madushanka (International Water Management Institute) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Thilina Madushanka |
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Access Authority: |
Mariangel Garcia Andarcia |
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Holdings Information: |
https://doi.org/10.7910/DVN/ADRSCP |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Land cover, Topography, Earth observation, Limpopo |
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Topic Classification: |
Hydrology |
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Abstract: |
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 this data to promote sustainable land management practices, optimize resource utilization (e.g., water, agriculture), prioritize areas for biodiversity conservation, and guide responsible urban planning strategies, ultimately safeguarding the long-term ecological health and socioeconomic well-being of the Limpopo Basin.The main data source provider is ESA. |
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Country: |
South Africa, Zimbabwe, Mozambique, Botswana |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
Land_cover.rar |
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Text: |
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 this data to promote sustainable land management practices, optimize resource utilization (e.g., water, agriculture), prioritize areas for biodiversity conservation, and guide responsible urban planning strategies, ultimately safeguarding the long-term ecological health and socioeconomic well-being of the Limpopo Basin.The main data source provider is ESA. |
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Notes: |
application/x-compressed |