Traditionally, trade area analysis and urban development monitoring have depended heavily on manual field surveys and disparate sources of information. These methods are often time-consuming, labor-intensive, and geographically limited.
This white paper introduces an advanced technological approach that harnesses artificial intelligence (AI) and time-series satellite imagery to automatically detect building construction and demolition activities. By doing so, it enables more accurate, timely, and scalable urban analysis.
The paper outlines concrete methodologies for improving the efficiency and precision of urban development tracking and trade area research. It also presents real-world application examples across diverse domains, including smart city planning, real estate investment, map maintenance, and trade area evaluation — particularly in regions where conventional data collection is challenging.
We invite you to explore how this technology can support strategic decision-making and unlock new business opportunities.
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