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The study assessed the adoption of land use consolidation and its determinants in Nyanza District of Southern Province, Rwanda. Land use consolidation is part of the on-going crop intensification program led by the Ministry of Agriculture in Rwanda.
In this study, maximum likelihood supervised classification and post-classification change detection techniques were applied to cloud-free Landsat mosaic scenes formed for three years, 1987, 2001 and 2010, to map land cover changes in the Lake Kivu region in Central Africa.
Durban COP17 December 2011 (UNFCCC 2011). The World held its breath for a global commitment to reducing greenhouse gas emissions in a bid to steady human-induced climate change.
Food crop production in Rwanda is predominantly dependent on the productivity in small- and fragmented farms. Raising productivity levels in smallholder farms therefore represents a vital means to economic growth and poverty reduction in Rwanda.
This chapter accomplishes several purposes, in which it shares the reader the theoretical orientation and empirical evidences of numerous studies that are closely related to the issues being raised in this study.
The majority of rural Rwandans are dependent on land for their livelihoods. Recognizing the critical nature of land to peace, stability, and economic development, Rwanda began implementing the Land Tenure Regularisation Process (LTRP) in 2008.
This study consists of seven chapters. Chapter 1 sets the stage of the thesis in terms of problem statement, theoretical perspective, objectives and research questions, the research area and data collection procedure, and ends with this outline.
Rwanda is a small, landlocked country with an area of 26,338 square kilometres, only 52% of which is used or developed. The country has a population of nearly ten million people, with a population growth rate of 3.1% and a high urbanisation rate of 8% a year.
In 2005 the Government, aiming to encourage more intensive forms of agriculture to supply new markets, passed a land law which brought all marshes and river valleys under State control.
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