Drought is a major challenge threatening agricultural productivity in uMsinga. The occurrence of drought is expected to increase in coming decades, intensifying in severity, duration and the way people are affected by drought. The objective of this study is to understand small-scale farmers’ and rural communities’ perceptions of drought, its environmental and socio-economic impacts, adaptive and mitigation measures at household level and their satisfaction with the government’s role in drought management in the community. The study utilized a combination of quantitative and qualitative research methods, in the form of questionnaires, focus groups and key informant interviews. The sample size for the research study was 180 respondents for the questionnaire component and a total of 30 respondents for the focus groups and key informant interviews. The results show that increased levels of poverty, food insecurity and increased migration were the main socio-economic impacts perceived by respondents. Water scarcity, crop failure, forest degradation and an increase in average temperatures were perceived by respondents as the main environmental impacts caused by drought in uMsinga. Respondents perceived drought as a serious threat to agricultural production and adopted various indigenous adaptive strategies. A majority of respondents adopted a reactive approach to drought management, and therefore did not adopt many mitigation measures.

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SPOT-5 multispectral and panchromatic image data were used to compute texture measures to estimate the road edge effect on adjacent Eucalyptus grandis forests. Employing a stepwise selection algorithm enabled the selection of optimal texture measures that were input into a backpropagation artificial neural network. The R 2 of best models ranged from 0.67 to 0.89 for DBH, TH, BA, Volume and LAI on an independent test data set, with a root mean square error (RMSE) range of 0.01-5.36% for the respective variables. The result is critical for understanding and spatially predicting the road edge effect on adjacent vegetation.

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