Accurate and up-to-date urban land records are essential for effective land governance, urban planning, taxation, infrastructure development, and delivery of citizen-centric services. At present, preparation of cadastral maps and delineation of urban parcel boundaries is largely dependent on manual interpretation of drone imagery and field-based Ground Truthing (GT) activities. The process is time- consuming, resource intensive, and requires extensive human intervention for extraction of parcel
The system should be that can: .
Accurate and up-to-date urban land records are essential for effective land governance, urban planning, taxation, infrastructure development, and delivery of citizen-centric services At present, preparation of cadastral maps and delineation of urban parcel boundaries is largely dependent on manual interpretation of drone imagery and field-based Ground Truthing (GT) activities
The system should be that can: . Automatic extraction of parcel boundaries . ldentification and delineation of building footprints . Detection of roads, pathways, and access corridors . Classification of land-use features in urban areas The proposed solution should utilize: . High-resolution Drone lmagery . Orthorectified lmagery (ORl) . DSM/DTM datasets . Existing GIS Parcel layers . Ground Truthing (GT) datasets . GNSS/CORS-enabled surveY data The system should incorporate: 1. Al-based image segmentation models for parcel delineation. 2. Deep learning techniques for feature extraction and object detection. 3. Automated topology generation and parcel polygon creation. 4. Detection of overlapping or inconsistent parcel geometries. 5. Web-GlS visualization and editing interface.