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dc.contributor.advisor Zerizghy, M. G.
dc.contributor.author Mamorobela, Karabo Edwin
dc.date.accessioned 2025-01-30T06:43:19Z
dc.date.available 2025-01-30T06:43:19Z
dc.date.issued 2023
dc.identifier.uri http://hdl.handle.net/10386/4840
dc.description Thesis M.Sc. (Soil Science)) -- University of Limpopo, 2023 en_US
dc.description.abstract Soil degradation is a serious environmental threat facing the humanity today. Soil degradation in one or more of its forms has been labelled as a ‘global pandemic’. This is because; soil degradation is a very serious world problem and affects all countries or continents. Thus there is an acute need to devise a way of reducing its vast advance. This is why, it is important to establish the magnitude and the extent of soil degradations in order to mitigate its effect. The objectives of this study were to:(i)Identify soils degraded by rill erosion with acceptable accuracy from remote sensing images.(ii) Determine soil organic carbon status with acceptable accuracy from remote sensing.(iii) Determine soil surface salt accumulation with acceptable accuracy from remote sensing images. The soil degradation forms consider edin this study are soil salinity, rill soil erosion and soil organic carbon. Nutrient depletion is another significant chemical process of soil degradation. Soil organic carbon depletion is a chemical degradation and in most instances is influenced by human and natural activities. The assessment of these soil degradation forms has been done in three separate chapters and detailed abstract is given at the start of each chapter. However, the general findings revealed that the prediction of those soil degradation forms from remotely sensed images did not yield good results. Nonetheless, promising performance has been recorded. Recommendations for feature studies are also provided. en_US
dc.description.sponsorship National Research Foundation (NRF) en_US
dc.format.extent 72 leaves en_US
dc.language.iso en en_US
dc.relation.requires PDF en_US
dc.subject Soil degradations en_US
dc.subject Remote sensing en_US
dc.subject Multispectral imagery (sentinel 2) en_US
dc.subject Regression analysis en_US
dc.subject Syferkuil farm en_US
dc.subject.lcsh Soil degradation en_US
dc.subject.lcsh Soil exhaustion en_US
dc.subject.lcsh Remote sensing -- Equipment and supplies en_US
dc.title Assessment of selected types of soil degradation in Syferkuil Farm using remote sensing techniques en_US
dc.type Thesis en_US


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