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Satellite Image Classes Categorization Schemes for United Nations Framework Convention on Climatic Change (UNFCCC): Greenhouse Gas (GHG) Inventory for National Representation – The Botswana Case
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Author(s): Joyce Gosata Maphanyane (University of Botswana, Botswana)and Gofetamang Phunyuka (Ministry of Environment Natural Resources Conservation and Tourism, Botswana)
Copyright: 2018
Pages: 13
Source title:
Handbook of Research on Geospatial Science and Technologies
Source Author(s)/Editor(s): Joyce Gosata Maphanyane (University of Botswana, Botswana), Read Brown Mthanganyika Mapeo (University of Botswana, Botswana)and Modupe O. Akinola (University of Lagos, Nigeria)
DOI: 10.4018/978-1-5225-3440-2.ch006
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Abstract
This chapter looks at the disparities between the UNFCCC – GHG – Land-Use and Land-Cover Change (LULCC) remote sensing images classification scheme with that of Botswana for the GHG inventory for the National Representation. This chapter has points out that the Botswana Scheme maximizes the LANDSAT System electromagnetic waves capabilities and maps produced give more classes and better thematic resolution for the classification of land cover classes. Suggestions are made for these two schemes to be reconciled and use the one which gives the best GHG calculated results for inventories for Inter-Governmental Panel on Climate Change (IPCC) Reporting
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