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Articles | Volume XLVIII-4/W6-2022
https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-159-2023
https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-159-2023
06 Feb 2023
 | 06 Feb 2023

MARINE CADASTRE DATA MODELS WITH TEMPORAL ASPECT – REVIEW

Y. Hussaini Atulukwu and A. Abdul Rahman

Keywords: 3D Model, 4D Model, Spatiotemporal, Marine Cadastre

Abstract. A full 3D cadastre that supports volume parcels is one interpretation of the phrase "3D cadastre", whereas traditional cadastres that maintain only a limited amount of information about 3D circumstances are another. Three-dimensional (3D) cadastres are sometimes referred to as the 3D computerized illustration of real estate rights, constraints, and obligations. These include all the portions of legal objects, below or above the earth. The paper attempted to clarify the idea of developing 4D marine cadastral data models by evaluating and synthesizing the existing literature on how operators and stakeholders influence the applications of these models in the management of marine objects and properties. In this paper, the authors will identify the phases of marine cadastre models and their current status and more curiously seeks to update the current dimension of the time component to the existing 3D marine cadastre model. The current 3D marine cadastral data model for example in Malaysia and in other countries is still at the conceptual level. This paper will also highlight the peculiarities of marine cadastre components and their interactions with stakeholders, and addresses the practice and appropriate method to make those cadastral objects appear in 4D (3D + t). This study is structured around theories and models that have already been developed by scholars to explain temporal variations in these objects and properties. The result of the study shall give an in-depth discovery of what is known about the proposed 4D model and proffer key areas of interest that further studies can investigate to integrate the time aspect leading to a new 4D marine cadastre data model.