Geospatial computer vision is a specialized research domain that integrates computer vision methodologies with geospatial science to analyze and interpret imagery and other spatially-referenced data of the Earth's surface. It aims to automate the extraction of geographic information, monitor environmental dynamics, and understand spatial patterns through techniques like image processing, pattern recognition, and deep learning, leveraging spatial context for enhanced scene understanding and actionable insights regarding the terrestrial environment.