Virtual 3d Mapping and Analysis Using Remote Sensing Data and Photographs
With the rapid growth of urbanization, visualization in the three-dimensional aspect is getting more importance nowadays. 3D modeling and visualization techniques help in decision making process to understand the third dimensional features in cities. Planners, urban designers, landscape architects and other planning professionals use computerized vi-sualization techniques to encourage the participation of public in urban planning. Aerial and Satellite images can be used to generate 3D models, but they cannot give a realistic feel due to the absence of texture information. The objective of this study is to build a 3D model along with texture information using currently available software tools and to make it freely viewable for the public. High resolution satellite data are useful for 3D mapping and analysis. In the current study, field photographs and satellite images are used to create 3D database of few iconic buildings in Bangalore city. Satellite images are used to identify the georeferenced footprint of the buildings or features. The designing and creation of 3D database is carried out using Sketchup software tools. Texture information is added from the photographs to get a realistic feel of the 3D building. The 3D features are visualized in Arcscene using Digital Elevation Model (DEM) and orthorectified high resolution Satellite data. Further, techniques have been employed to generate a 3D cadastre prototype for visualization of vertical growth of buildings. Line of sight and shadow analysis was carried out using the 3D model analyst toolbar in Arcscene for understanding the potential of this technology for locating security cameras.
New Cadastral System Approach for Planning Sustainability in Malaysia
This paper present solution for reformulate, further improve and enhance the usefulness of the existing cadastral system and title registration of multi-layer properties in order to facilitate a modern Malaysian Cadastral and Land Administration Systems. A conclusion from the first International Workshop on 3D cadastres in Delft was that the concept of property mainly depends on the national legal system, where each such system has its own instruments for multiple use of land (Registration of Properties in Strata, 2002). A common definition thus does not seem to exist. Each researchers dealing with this term choose their own stipulated definition or description. The introduction of the concept of 3D property establishes a strong link between the real world and legal cadastral entities. With 3D property, which differs from on surface properties where there must be no gaps or overlaps in their boundaries, 3D property can be located above or below one another. In this paper, we are looking into the field 3D property and it rights as well as the categorisation of 3D property issues relating to rights. Besides that, we also give an introduction into 3D cadastre, the importance of 3D cadastre and the practical solution. Later, we present the 3D property type in Malaysia with an explanation on the land legislation framework, cadastral survey and registration in Malaysia. This paper discusses literature on good governance, e-government and intergovernmental coordination. Furthermore, this paper also includes discussions on the ways towards 3D property formation and the criteria associated with the establishment of Malaysian 3D cadastre for 3D property rights and the ways to achieve its implementation.
ANN+GIS: An automated system for property valuation
Although property valuation models have become an important paradigm in real estate market research, the results of the most well-known approaches are limited due to various data-related problems such as the non-linearity of relationships, the presence of noise, or the absence of necessary information. This paper focuses on overcoming these obstacles. We introduce an automated system for property valuation that combines artificial neural network models with a geographic information system, and both tools have shown their potential usefulness in the field of economic research. The artificial neural network models used in this work are the multilayer perceptron, the radial basis function, and Kohonen's maps.