Subdivision of land parcels in the vertical space has made it necessary for cadastral jurisdictions to manage cadastral objects both in 2D as well as 3D. Modern sensor and hardware capabilities for capture and utilisation of large point clouds is one of the major drivers to consider Spatial Database Management Systems (SDBMS) in 3D and organisations are still progressing towards it. 3D data models and their topological relationships are two of the important parts of 3D spatial data management. 3D spatial systems should enable data models that handle a large variety of 3D objects, perform automated data quality checks, search and analysis, rapid data dissemination, 3D rendering and visualisation with close linkages to standards. This chapter asserts that while there has been work done in defining 2D and 3D vector geometry in standards, it is still not sufficient for 3D cadastre purposes as 3D cadastral objects have a much more rigorous definition. The Land Administration Domain Model (LADM), which is an ISO Standard, addresses many of the issues in 3D representation and storage of 3D data in a database management system (DBMS). The chapter further discusses the various approaches to storing 3D data such as through voxels, or point cloud data type and elaborates on the characteristics of a 3D DBMS capable of storing 3D data. Approaches for spatial indexing to improve the fast access of data and the various available options for a 3D geographical database system are presented. Several spatial operations on and amongst 3D objects are illustrated with linkages to the current standards including the LADM. Next, construction of 3D topological and geometrical models based on standards and including their characteristics is discussed. Current 3D spatial database managements systems and their characteristics, including some comparison between selected DBMS including the hardware capabilities are elaborated in detail. Finally, the chapter proposes a 3D topology model based on Tetrahedron Network (TEN) synchronised with LADM specifications for 3D cadastral registration. This topological model utilises surveying boundaries to generate 3D cadastral objects with consistent topology and rapid query and management capabilities. The definition for validation of 3D solids also considers the automatic repair of invalid solids. Point cloud and TEN related data structures available in SDBMSs are also investigated to enable storage of non-spatial attributes so that database updates would store all spatial and attribute information directly inside the spatial database.

Disaster management is a multidisciplinary field, which requires a general coordination approach as well as specialist approaches. Science and Technology system of a country allows to create policies and execution of technical inputs required which provide services for the specific types of disasters management. Land administration and management agencies, as the administrative and management bodies, focus more on the coordination of designated tasks to various agencies responsible for their dedicated roles. They get help from Scientific and technical inputs & policies which require to be implemented in a professional manner. The paper provides an example of such integration from India where these two systems complement each other with their dedicated services. Delhi, the Capital of India, has such a disaster management system which has lot of technical departments of government which are mandated to provide their services as Emergency Service Functionaries. Thus, it is shown that disaster management is a job which is an integral part of Science & Technology system of a country while being implemented primarily with the help of land administration and management agencies. It is required that new policies or mandates for the Science and technology organizations of government should give a primary space to disaster management