Evaluating the impact of land use and land cover change on unprotected wetland ecosystems in the arid-tropical areas of South Africa using the Landsat dataset and support vector machine
Loading...
Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor and Francis Group
Abstract
The study explored the impact of Land Use and Land Cover (LULC) change dynamics in relation to the condition and status of an unprotected wetland located in the arid-tropical parts of the Limpopo Province, South Africa. The long-term Landsat archival data series was used to map and quantify the impacts of LULC change on the wetland over a period of 36 years (1983–2019). A multi-source satellite image analysis was performed, using the support vector machine (SVM) algorithm and advanced spatially- explicit geographic information system tools. Landsat data series covering the entire study area was used to assess, map and monitor LULC change that occurred over-time. Post-classification maps for the Maungani wetland area were analysed to provide a quantitative assessment and a detailed overview of the rate of change. The generated wetland detection maps for four temporal phases (i.e., 1983–1992, 1992–2001, 2002–2010) were analysed.
Description
Keywords
Rural development, Vector machine, Wetland degradation, Water pollution, South Africa
Citation
Thamaga, K. H. et al. (2022). Evaluating the impact of land use and land cover change on unprotected wetland ecosystems in the arid-tropical areas of South Africa using the Landsat dataset and support vector machine. Geocarto International. https://doi.org/10.1080/10106049.2022.2034986