Use of remotely sensed data and spatial modelling techniques to assess impacts of different land management practices on surface water quality

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dc.contributor.advisorDube, Timothy
dc.contributor.authorCloete, Danielle
dc.date.accessioned2023-07-24T08:49:53Z
dc.date.accessioned2024-11-06T08:03:20Z
dc.date.available2023-07-24T08:49:53Z
dc.date.available2024-11-06T08:03:20Z
dc.date.issued2023
dc.description>Magister Scientiae - MScen_US
dc.description.abstractThe study uses remote sensing and statistical techniques in assessing land use land cover impacts on surface water quality in the Heuningnes Catchment, Cape Agulhas, South Africa. Firstly, a review of the advancements made in extracting water quality information because of land use land cover impacts, specifically the advancements of modelling techniques that consider spatiotemporal variations across water quality parameters was conducted. The review results show that advancements made across small-scale waterbodies and developing countries such as sub-Saharan Africa are impaired by resource and data constraintsen_US
dc.identifier.urihttps://hdl.handle.net/10566/17608
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.rights.holderUniversity of the Western Capeen_US
dc.subjectLand use land coveren_US
dc.subjectRemotely sensed dataen_US
dc.subjectSentinel-2en_US
dc.subjectWater-based indicesen_US
dc.subjectGeographically Weighted Regressionen_US
dc.titleUse of remotely sensed data and spatial modelling techniques to assess impacts of different land management practices on surface water qualityen_US

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