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

Abstract

The 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 constraints