Tatenda Dzurume, T. Dube, K. H. Thamaga, C. Shoko, D. Mazvimavi
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引用次数: 12
Abstract
ABSTRACT The study sought to assess the impacts of land use and land cover (LULC) changes on two wetland systems (Makuleke and Nylsvley Nature Reserve) in the Limpopo Transfrontier River Basin (LTRB) in South Africa between 2014 and 2018. To fulfil this objective, multi-date Landsat images were used. Furthermore, the maximum likelihood classification algorithm was used to identify various LULC classes within delineated wetlands. The LULC changes were mapped from the two wetlands, with high overall accuracies, ranging from 80% to 89% for both study areas. The spatial extent of the Makuleke wetland declined by 2% between 2014 and 2018, whereas the Nylsvley wetland decreased by 3%. Built-up areas have increased slightly over the 2014 and 2018 period because of population growth and infrastructure development, which occupy a portion of the wetland. In Nylsvley wetland, it was evident that during the 5-year monitoring period, croplands increased steadily in the Nylsvley catchment. Overall, the results demonstrated a steady decline in natural vegetation cover in both wetlands. This information can aid in enforcing wetland legislations and LULC management practices that can help protect them from further encroachment and degradation.
期刊介绍:
The South African Geographical Journal was founded in 1917 and is the flagship journal of the Society of South African Geographers. The journal aims at using southern Africa as a region from, and through, which to communicate geographic knowledge and to engage with issues and themes relevant to the discipline. The journal is a forum for papers of a high academic quality and welcomes papers dealing with philosophical and methodological issues and topics of an international scope that are significant for the region and the African continent, including: Climate change Environmental studies Development Governance and policy Physical and urban Geography Human Geography Sustainability Tourism GIS and remote sensing