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This literature review examines the integration of artificial intelligence (AI), remote sensing, and software engineering in geospatial applications. It explores machine learning techniques for satellite imagery analysis, geospatial data processing, software development practices, model integration, reproducibility, and challenges affecting AI-enabled remote sensing systems. The review synthesizes existing academic literature to highlight current approaches, practical applications, limitations, and opportunities for future research. It aims to provide insights into how software engineering principles can support the development of reliable, scalable, and maintainable AI-powered remote sensing solutions.
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Daniel Olasunkanmi (2026) studied this question.
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