This study presents a comprehensive Geographic Information System (GIS)-enabled analysis aimed at evaluating land eligibility for renewable ammonia production in Kenya. The general scope of the research focuses on assessing the suitability of various land areas by combining renewable energy potential, environmental factors, and existing infrastructure.

Utilizing a combination of remote sensing data, land use maps, and environmental datasets, we conducted a multi-step GIS analysis. The methodology involved spatial data processing, suitability modeling, and overlay analysis to identify optimal regions for ammonia production. A key component of the GIS analysis was the use of the Analytic Hierarchy Process (AHP) to prioritize various criteria relevant to ammonia production with the help of experts and local stakeholders. This method allowed for a structured assessment of factors such as access to water sources, solar energy potential, soil quality, and transportation infrastructure. By combining these criteria with the land eligibility analysis, we were able to identify suitable locations and compare them on an easy-to-understand scale.

The relevance of this research lies in its potential to significantly enhance agricultural productivity in Kenya by offering sustainable, locally produced fertilizers. This approach addresses the growing demand for fertilizers and aims to reduce the country's dependence on imported chemical fertilizers, which can be both costly and environmentally detrimental.

The major conclusions drawn from this study underscore the importance of a thorough GIS-based land suitability analysis in informing decision-makers for renewable ammonia production. By highlighting optimal locations, this research contributes valuable insights to stakeholders, including policymakers, agricultural producers, and renewable energy developers. Ultimately, this work is part of a broader research initiative aimed at promoting sustainable production and utilization of hydrogen and its derivatives in Africa while mitigating environmental impacts through informed land use strategies.