Recent drought prevalence in the Limpopo River Basin: insights from the digital twin platform
cg.contributor.affiliation | International Water Management Institute | en |
cg.contributor.affiliation | Association for Water and Rural Development (AWARD), Hoedspruit, South Africa | en |
cg.contributor.donor | CGIAR Trust Fund | en |
cg.contributor.donor | Leona M. and Harry B. Helmsley Charitable Trust | en |
cg.contributor.initiative | Digital Innovation | en |
cg.coverage.country | Botswana | en |
cg.coverage.country | Mozambique | en |
cg.coverage.country | South Africa | en |
cg.coverage.country | Zimbabwe | en |
cg.coverage.iso3166-alpha2 | BW | en |
cg.coverage.iso3166-alpha2 | MZ | en |
cg.coverage.iso3166-alpha2 | ZA | en |
cg.coverage.iso3166-alpha2 | ZW | en |
cg.coverage.subregion | Limpopo River Basin | en |
cg.creator.identifier | Surajit Ghosh: 0000-0002-3928-2135 | en |
cg.creator.identifier | Kayathri Vigneswaran: 0009-0004-4573-7978 | en |
cg.creator.identifier | Chris Dickens: 0000-0002-4251-7767 | en |
cg.creator.identifier | Mariangel Garcia: 0000-0002-4145-0847 | en |
cg.identifier.doi | https://doi.org/10.1007/s12524-025-02133-y | en |
cg.identifier.iwmilibrary | H053482 | en |
cg.isijournal | ISI Journal | en |
cg.issn | 0974-3006 | en |
cg.journal | Journal of the Indian Society of Remote Sensing | en |
cg.reviewStatus | Peer Review | en |
cg.river.basin | LIMPOPO | en |
dc.contributor.author | Ghosh, Surajit | en |
dc.contributor.author | Vigneswaran, Kayathri | en |
dc.contributor.author | Dickens, Chris | en |
dc.contributor.author | Retief, H. | en |
dc.contributor.author | Garcia Andarcia, Mariangel | en |
dc.date.accessioned | 2025-02-28T05:46:38Z | en |
dc.date.available | 2025-02-28T05:46:38Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/173427 | |
dc.title | Recent drought prevalence in the Limpopo River Basin: insights from the digital twin platform | en |
dcterms.abstract | 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. | en |
dcterms.accessRights | Limited Access | en |
dcterms.available | 2025-02-14 | en |
dcterms.bibliographicCitation | 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] | en |
dcterms.extent | 8p. | en |
dcterms.issued | 2025-02 | en |
dcterms.language | en | en |
dcterms.license | Copyrighted; all rights reserved | en |
dcterms.publisher | Springer | en |
dcterms.subject | drought | en |
dcterms.subject | monitoring | en |
dcterms.subject | digital technology | en |
dcterms.subject | datasets | en |
dcterms.subject | river basins | en |
dcterms.subject | precipitation | en |
dcterms.type | Journal Article | en |
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