Efficient and Optimized Geospatial Data Representation in Blockchain-Based Land Administration

The intersection of blockchain technology with geospatial data is reshaping e-governance, especially in the realm of land administration systems. This paper delves into the transformative potential of integrating geographical data into blockchain for secure, transparent, and tamper-proof land registries and cadastral data. These systems provide a robust foundation to avoid to resolve conflict in land disputes due to the immutable nature of blockchain transactions and accuracy of cadastral data in identifying land property. Our exploration encompasses various methods of encoding and storing geographical data in the blockchain, with a focus on WGS84 coordinates, Geohash, and Mapcode representations. Significantly, we address the intricate trade-offs between data size and precision, crucial considerations for efficient e-governance. In addition to surveying existing approaches, this work introduces novel geospatial data storage optimization layers, a contribution that substantially reduces data size by capitalizing on redundancy within specific representation forms. These optimization layers offer a practical and effective solution to the challenge of managing large and complex geospatial data in blockchain-based land administration systems, aligning with the core tenets of efficient e-governance. This research establishes a foundational framework for future studies in the dynamic field of blockchain land administration, emphasizing the essential need for a flexible approach to geospatial data management in e-governance systems.