The Incomati basin encompasses parts of South Africa, Swaziland and Mozambique, and is a water stressed basin. Equitable allocation of water is crucial to sustain livelihoods and agro-ecosystems, and to sustain international agreements. As compliance monitoring of water distribution by flow meters is laborious, expensive and only partially feasible, a novel approach has been developed to estimate water withdrawals using satellite measurements. Direct withdrawals include pumping from rivers, impoundments and groundwater, for irrigation and other human uses.
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Library ResourceJournal Articles & BooksDecember, 2015South Africa, Mozambique, Eswatini, Southern Africa
Library ResourceJournal Articles & BooksDecember, 2010Eswatini
Library ResourceJournal Articles & BooksDecember, 2013Eswatini
Poor land preparation and late planting are among the factors responsible for the decline in food production on customary Swazi Nation Land (SNL). While efforts are being made to develop an improved national land cultivation programme, this process can be helped by identifying factors that influence farmers to use alternative technologies for land cultivation. Using cross-section data collected in 2009 from a random sample of 210 farmers in Komati, three land cultivation technologies were identified; (i) use of tractors; (ii) use of draught animals; and (iii) use of hand hoes.
Library ResourceJournal Articles & BooksDecember, 2011Eswatini
This article describes the use of a Bayesian network (BN) for the classification of land cover from satellite imagery in northern Swaziland. The main objective of this work was to apply and evaluate the efficacy of a BN for land-cover classification using gap-filled and terrain-corrected Landsat 7 Enhanced Thematic Mapper Plus (ETM+) imagery acquired on 15 May 2007. The posterior probabilities (parameters) were estimated using the expectation-maximization (EM) and conjugate gradient descent (CGD) algorithms.
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