Following object detection, each temporary shapefile of building footprints undergoes automated attribute enrichment before cloud synchronization.
To expand the operational utility of the extracted building footprints, the platform links the core pipeline to three dedicated analytical modules developed as independent ModelBuilder workflows.
Analytical Module A conducts temporal change detection and geometric area analysis by comparing recent building footprints against a baseline layer from 2020.
Simultaneously, Module C overlays statutory land-use zoning classifications onto building footprints using a one-to-one Spatial Join based on polygon centroids.
Subject of Research: AIoT platform architecture for automated building footprint extraction and urban spatial decision support Article Title: AIoT-enabled platform urbanism for smart city management: a demonstration of building footprint extraction Article References: Hossain, S. T., Yigitcanlar, T., & Ye, X.