Recent drought prevalence in the Limpopo River Basin: insights from the digital twin platform
The Limpopo River Basin (LRB), a transboundary river basin extending over Botswana, Mozambique, South Africa, and Zimbabwe, is highly vulnerable to drought. This manuscript analyzes drought conditions in the LRB using Earth Observation (EO) datasets and key drought indices such as the Standardized P...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/173427 |
| _version_ | 1855518888475754496 |
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| author | Ghosh, Surajit Vigneswaran, Kayathri Dickens, Chris Retief, H. Garcia Andarcia, Mariangel |
| author_browse | Dickens, Chris Garcia Andarcia, Mariangel Ghosh, Surajit Retief, H. Vigneswaran, Kayathri |
| author_facet | Ghosh, Surajit Vigneswaran, Kayathri Dickens, Chris Retief, H. Garcia Andarcia, Mariangel |
| author_sort | Ghosh, Surajit |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Limpopo River Basin (LRB), a transboundary river basin extending over Botswana, Mozambique, South Africa, and Zimbabwe, is highly vulnerable to drought. This manuscript analyzes drought conditions in the LRB using Earth Observation (EO) datasets and key drought indices such as the Standardized Precipitation Index (SPI) and Vegetation Condition Index (VCI). The year 2023, marked by the El Niño phenomenon, exacerbated dry conditions, resulting in prolonged water shortages and reduced agricultural output. Approximately 37% of the basin has been experiencing drought since the 2023–2024 cropping season, impacting ecosystems and crop yields. The present manuscript presents a comprehensive analysis of drought conditions in the LRB and applications of the Digital Twin platform for the LRB to support resource allocation for agricultural planning. Integrating multiple near real-time datasets, the platform enables policymakers to visualize and analyze drought conditions, enhancing decision-making for sustainable resource management and food security in the basin. |
| format | Journal Article |
| id | CGSpace173427 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1734272025-02-28T05:47:11Z Recent drought prevalence in the Limpopo River Basin: insights from the digital twin platform Ghosh, Surajit Vigneswaran, Kayathri Dickens, Chris Retief, H. Garcia Andarcia, Mariangel drought monitoring digital technology datasets river basins precipitation The Limpopo River Basin (LRB), a transboundary river basin extending over Botswana, Mozambique, South Africa, and Zimbabwe, is highly vulnerable to drought. This manuscript analyzes drought conditions in the LRB using Earth Observation (EO) datasets and key drought indices such as the Standardized Precipitation Index (SPI) and Vegetation Condition Index (VCI). The year 2023, marked by the El Niño phenomenon, exacerbated dry conditions, resulting in prolonged water shortages and reduced agricultural output. Approximately 37% of the basin has been experiencing drought since the 2023–2024 cropping season, impacting ecosystems and crop yields. The present manuscript presents a comprehensive analysis of drought conditions in the LRB and applications of the Digital Twin platform for the LRB to support resource allocation for agricultural planning. Integrating multiple near real-time datasets, the platform enables policymakers to visualize and analyze drought conditions, enhancing decision-making for sustainable resource management and food security in the basin. 2025-02 2025-02-28T05:46:38Z 2025-02-28T05:46:38Z Journal Article https://hdl.handle.net/10568/173427 en Limited Access Springer Ghosh, Surajit; Vigneswaran, Kayathri; Dickens, Chris; Retief, H.; Garcia Andarcia, Mariangel. 2025. Recent drought prevalence in the Limpopo River Basin: insights from the digital twin platform. Journal of the Indian Society of Remote Sensing, 8p. (Online first) [doi: https://doi.org/10.1007/s12524-025-02133-y] |
| spellingShingle | drought monitoring digital technology datasets river basins precipitation Ghosh, Surajit Vigneswaran, Kayathri Dickens, Chris Retief, H. Garcia Andarcia, Mariangel Recent drought prevalence in the Limpopo River Basin: insights from the digital twin platform |
| title | Recent drought prevalence in the Limpopo River Basin: insights from the digital twin platform |
| title_full | Recent drought prevalence in the Limpopo River Basin: insights from the digital twin platform |
| title_fullStr | Recent drought prevalence in the Limpopo River Basin: insights from the digital twin platform |
| title_full_unstemmed | Recent drought prevalence in the Limpopo River Basin: insights from the digital twin platform |
| title_short | Recent drought prevalence in the Limpopo River Basin: insights from the digital twin platform |
| title_sort | recent drought prevalence in the limpopo river basin insights from the digital twin platform |
| topic | drought monitoring digital technology datasets river basins precipitation |
| url | https://hdl.handle.net/10568/173427 |
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