Hyderabad, India: The session on LiDAR, laser scanning and 3D modelling witnessed interesting and innovations applications of these technologies and other aspects. Jayant Sharma, Director, Product Management, Oracle, talked about scalable workflows for 3D data management. Highlighting the growing trend of integrated data management for all geospatial data types, he identified factors driving technology push including sensor driven 3D data, imagery and models. He dwelt upon the benefits that spatial databases bring to 3D. These include support for large seamless 3D scenes with terabytes of objects, fusion of aerial imagery, close-range airborne and ground video/LIDAR with traditional 2D vector models, conducting traditional GIS queries on 3D scenes, transactional updates, integration of 3D models with business information, data security, access control, encryption and authentication and support by third party 3D viz and analysis tools. He observed that once a person has data, he should be able to access it in a meaningful manner.
David van Rensburg, Head – Rock Engineering (Geotechnical Dept), Anglo Americans, Mogalakwena Platinum Mine, South Africa illustrated the benefits of deploying lasers for slope stability monitoring at Mogalakwena Platinum Mine. The deployment forms part of an integrated risk monitoring system, used mainly to determine long term slope deformation trends and to identify high risk areas. David concluded that although the laser did not locate any movement in the failure area, it identifies the precursor to the event almost a month earlier and the reputational and economic cost to any mining organisation when personnel are injured or killed or equipment damaged or destroyed, are immense.
Mika Salolahti, Business Development Manager, Terrasolid Ltd. Informed the audience about the software offered by the company for LiDAR processing and the ways in which users can use them. Mobile laser scanning according to him is a fast catching form of laser scanning. He also drew a list of pros and cons of airborne and mobile scanning for 3D city modelling. Susham Biswas, research scholar from Indian Institute of Technology, Kanpur, India discussed a research on sound propagation modeling at high resolution using LiDAR data and aerial photography for outdoor environments. The research aimed to determine whether LiDAR data be used for sound modeling and how, whether there is any advantage of using high resolution spatial data, and whether better data and/ or model can lead to better prediction. Describing the design of algorithm to extract spatial parameters, he concluded that LiDAR/Aerial Photo data can be used to incorporate detail terrain information for outdoor sound propagation modeling. He also observed that in general, good data and good modeling (complex coherent) scheme gives the best results.
Arun Raj of Avineon, India presented a case study demonstrating the benefits of implementing Avineon solutions in utility management. He informed that a customer maintaining 11 utility networks wanted to implement GIS system for maintenance department in a 3D environment and perform all network tracing as well as analysis functions. Avineon modeled multiple utility networks with 3D coordinates. To address this requirement, Avineon migrated GIS network data of above ground, underground and building internals. The company developed customised 3D trace visualisation tools for the customer. Avineon also developed customised reports out of trace analysis results.
Amit A. Kokje, researcher from the University of Auckland, New Zealand discussed the data fusion approach used in translating satellite images into meaningful geospatial information. Commenting that geographic information systems are playing crucial role in decision making and planning for urban areas, he observed that very high resolution (VHR) satellite imagery offering detailed view and large coverage of earth features can be a efficient source for rapid geospatial data acquisition but they have certain practical limitations. Since most of the data fusion methods are customised, targeting single feature identification and limiting their applicability to other types of urban scene. Hence according to him there is a need of robust standardise procedure for multi-sensor data fusion for rapid extraction of geospatially compatible data. He described his research that attempted to integrate elevation and intensity data from LiDAR and spectral information of satellite images for identification of various LULC commonly found urban scene.
Source: Our correspondent