Fairbanks, DHKThompson, MWVink, DENewby, TSVan den Berg, HMEverard, DA2007-08-062007-08-062000-02Fairbanks, DHK et al. 2000. South African land-cover characteristics database: a synopsis of the landscape. South African Journal of Science, Vol. 96(2), pp 69-820038-2353http://hdl.handle.net/10204/1087Copyright: 2000 Bureau Scientific PublishersAccurate, up-to-date information on land cover and land-use is essential for strategic planning, sustainable resource management and environmental research. A land-cover database for South Africa, Swaziland and Lesotho, designed for use in a variety of regional modelling, monitoring and analytical endeavours, has been created. Database development involved (1) a stratification of natural land cover and human land-use, (2) a contextual classification of hardcopy multispectral data derived from Landset Thematic Mapper(TM) imagery colled from 1994 to 1996, and (3) a stratified post-classification accuracy assessment using a large sample of field data. The resultant database has yielded substantial information to characterize the landscapes of South Africa. The analysis uses data recorded by province, primary hydrological catchment and vegetation biome to explore the land-cover characteristics of South African, Swaziland and Lesotho. Aggregated results show that South Africa comprises the following general surface types: 5.8% forest and woodland; 0.3% forest; 17.6% thicket and bushland; 34.1% shrubland and low fynbos; 0.2% herbland; 12.3% grassland; 12.2% cultivated lands; 1.5% forest plantations; 0.4% waterbodies; 0.5% wetland; 0.2% barren rock; 4.9% degraded lands; 1.1% urban/built-up lands; and 0.14% mines and quarries. The accuracy of the database ranges form 51% to 93%, depending on geographical area, with corresponding kappa index from 35 to 88.enLand cover databaseSustainable resource managementThematic MapperGrasslandsDeveloping countriesSouth African land-cover characteristics database: a synopsis of the landscapeArticleFairbanks, D., Thompson, M., Vink, D., Newby, T., Van den Berg, H., & Everard, D. (2000). South African land-cover characteristics database: a synopsis of the landscape. http://hdl.handle.net/10204/1087Fairbanks, DHK, MW Thompson, DE Vink, TS Newby, HM Van den Berg, and DA Everard "South African land-cover characteristics database: a synopsis of the landscape." (2000) http://hdl.handle.net/10204/1087Fairbanks D, Thompson M, Vink D, Newby T, Van den Berg H, Everard D. South African land-cover characteristics database: a synopsis of the landscape. 2000; http://hdl.handle.net/10204/1087.TY - Article AU - Fairbanks, DHK AU - Thompson, MW AU - Vink, DE AU - Newby, TS AU - Van den Berg, HM AU - Everard, DA AB - Accurate, up-to-date information on land cover and land-use is essential for strategic planning, sustainable resource management and environmental research. A land-cover database for South Africa, Swaziland and Lesotho, designed for use in a variety of regional modelling, monitoring and analytical endeavours, has been created. Database development involved (1) a stratification of natural land cover and human land-use, (2) a contextual classification of hardcopy multispectral data derived from Landset Thematic Mapper(TM) imagery colled from 1994 to 1996, and (3) a stratified post-classification accuracy assessment using a large sample of field data. The resultant database has yielded substantial information to characterize the landscapes of South Africa. The analysis uses data recorded by province, primary hydrological catchment and vegetation biome to explore the land-cover characteristics of South African, Swaziland and Lesotho. Aggregated results show that South Africa comprises the following general surface types: 5.8% forest and woodland; 0.3% forest; 17.6% thicket and bushland; 34.1% shrubland and low fynbos; 0.2% herbland; 12.3% grassland; 12.2% cultivated lands; 1.5% forest plantations; 0.4% waterbodies; 0.5% wetland; 0.2% barren rock; 4.9% degraded lands; 1.1% urban/built-up lands; and 0.14% mines and quarries. The accuracy of the database ranges form 51% to 93%, depending on geographical area, with corresponding kappa index from 35 to 88. DA - 2000-02 DB - ResearchSpace DP - CSIR KW - Land cover database KW - Sustainable resource management KW - Thematic Mapper KW - Grasslands KW - Developing countries LK - https://researchspace.csir.co.za PY - 2000 SM - 0038-2353 T1 - South African land-cover characteristics database: a synopsis of the landscape TI - South African land-cover characteristics database: a synopsis of the landscape UR - http://hdl.handle.net/10204/1087 ER -