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The study focuses on climate change impacts and local adaptation strategies in the rural community of Rusizi district, Rwanda. Using remote sensing methods, Landsat TM 4-5 satellite images from 2005 and 2015, taken from eartexplorer.usgs.govs, were processed, analyzed and classified using ARC GIS 10.3 software. The interview, pre-survey and survey were supported by a questionnaire addressed to a representative sample of 106 subjects. The results were encoded using EXCEL 2010 software. However, SWOT (or MOFF) was used for qualitative data processing, and statistical data was processed using R 2.15.1 to compare mean frequencies, XLSTAT 2016 to separate mean frequencies at the 5% significance level, and PAST 3.14 to perform logistic regression of impacts and adaptations to climate change...
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