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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

Satellite Image Classes Categorization Schemes for United Nations Framework Convention on Climatic Change (UNFCCC): Greenhouse Gas (GHG) Inventory for National Representation – The Botswana Case

Joyce Gosata Maphanyane, Gofetamang Phunyuka
Copyright: © 2018 |Pages: 13
ISBN13: 9781522534402|ISBN10: 1522534407|EISBN13: 9781522534419
DOI: 10.4018/978-1-5225-3440-2.ch006
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MLA

Maphanyane, Joyce Gosata, and Gofetamang Phunyuka. "Satellite Image Classes Categorization Schemes for United Nations Framework Convention on Climatic Change (UNFCCC): Greenhouse Gas (GHG) Inventory for National Representation – The Botswana Case." Handbook of Research on Geospatial Science and Technologies, edited by Joyce Gosata Maphanyane, et al., IGI Global, 2018, pp. 101-113. https://doi.org/10.4018/978-1-5225-3440-2.ch006

APA

Maphanyane, J. G. & Phunyuka, G. (2018). Satellite Image Classes Categorization Schemes for United Nations Framework Convention on Climatic Change (UNFCCC): Greenhouse Gas (GHG) Inventory for National Representation – The Botswana Case. In J. Maphanyane, R. Mapeo, & M. Akinola (Eds.), Handbook of Research on Geospatial Science and Technologies (pp. 101-113). IGI Global. https://doi.org/10.4018/978-1-5225-3440-2.ch006

Chicago

Maphanyane, Joyce Gosata, and Gofetamang Phunyuka. "Satellite Image Classes Categorization Schemes for United Nations Framework Convention on Climatic Change (UNFCCC): Greenhouse Gas (GHG) Inventory for National Representation – The Botswana Case." In Handbook of Research on Geospatial Science and Technologies, edited by Joyce Gosata Maphanyane, Read Brown Mthanganyika Mapeo, and Modupe O. Akinola, 101-113. Hershey, PA: IGI Global, 2018. https://doi.org/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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