Spatial Data Integration of Inter-Agency Land Parcel Data for Multipurpose Cadastre Development

Abstract

The management and organization of spatial information in the land sector are critical for delivering reliable and efficient land services. For government authorities, spatial data must be accurate, up to date, and accessible to multiple users. A multipurpose cadastre supports this objective by enabling the reuse of land parcel data across administrative, fiscal, and planning functions. However, the development of a multipurpose cadastre is often constrained by duplication, inconsistency, and heterogeneity in land parcel datasets managed by different institutions. This study investigates the integration of inter-agency land parcel data derived from the Land Registration Map and the Land and Property Tax Map in Gonilan village, Indonesia. It identifies and analyses key technical and institutional challenges encountered during the integration process, including geometric inconsistencies, positional discrepancies, and differences in parcel representation. A geometry-based spatial alignment approach was applied to harmonise parcel boundaries and improve spatial consistency while preserving attribute information. To validate the spatial accuracy of the integrated dataset, a UAV-based orthophoto survey was conducted, supported by Ground Control Points (GCPs) and Independent Check Points (ICPs). The resulting horizontal accuracy achieved an RMSE of 0.0598 m and a CE90 of 0.0908 m, meeting the requirements for a 1:1000-scale map. The results demonstrate that spatial harmonisation significantly improves dataset compatibility and supports the development of a unified cadastral database. However, substantial discrepancies in parcel geometry and numbering persist in certain areas, requiring field verification and interagency coordination. The study highlights that effective multipurpose cadastre development depends on robust geospatial techniques, sustained inter-agency collaboration, and data governance.