Project Overview:

1. Objective:

   • To create realistic, geo-referenced 3D city models for Qatar.

   • To support urban development, infrastructure planning, asset management, and smart city initiatives.

2. Data Sources:

   • Stereo Imagery: Aerial, drone, and satellite images are captured for accurate terrain and structure data.

   • Terrestrial Data: Ground-level imagery for building details and texture accuracy.

   • LiDAR Scans: Used for terrain and feature extraction with high precision.

3. Workflow:

   • Stereo Compilation:

     • 3D vector data is extracted from stereo views using tools like DATEM Summit Evolution.

     • This process ensures the precise collection of features such as building footprints, elevations, and roof structures.

   • 3D Surface Model Creation:

     • The vector data is converted into surface models and then into mesh models for seamless 3D rendering.

   • Texturing & Detailing:

     • Real-time textures are applied to the models using terrestrial imagery to enhance realism.

     • Software tools like Rhinoceros 3D, Rhino Terrain, Rhino City, and Photoshop/GIMP are used for surface detailing and texture editing.

   • Level of Detail (LoD):

     • LoD-0: Basic 2D footprints.

     • LoD-1: Simplified 3D block models.

     • LoD-2: Detailed 3D models including roofs and façade structures.

     • LoD-3: High-detail models with accurate textures, architectural elements, and real-world features.

   • Quality Assurance:

     • Advanced error detection is carried out using tools like ArcPy scripts to ensure data accuracy and compliance.

   • CityGML Format:

     • Final outputs are prepared in the CityGML format, a standard for storing and sharing 3D geospatial data.

4. Technologies Used:

   • 3D Modeling: DATEM Summit Evolution, Rhinoceros 3D, Rhino City, Rhino Capture, Rhino Terrain.

   • Texturing & Editing: Photoshop, GIMP.

   • Quality Control: ArcPy scripts, ArcGIS.

   • Data Integration: Google Earth Pro, Global Mapper.

5. Applications:

   • Urban Planning & Development: Accurate 3D city models aid planners in visualizing urban growth and infrastructure needs.

   • Smart City Initiatives: Supports smart infrastructure management, IoT, and GIS-based urban solutions.

   • Asset Management: Helps municipalities and private organizations monitor and manage assets.

   • Disaster Management: Facilitates risk assessment and response planning using realistic models.

Role of Rajalingam in the Project:

As the Senior 3D Modeler leading the 3D Modeling team:

• Rajalingam performs stereo data collection, surface model creation, and detailed mesh modeling.

• He applies advanced real-time textures for LoD-2 and LoD-3 models.

• He ensures the output meets client specifications and is delivered in CityGML format.

• He uses tools like DATEM Summit Evolution, Rhinoceros 3D, and ArcPy scripts to maintain precision and quality.

This project represents a critical milestone in advancing Qatar's geospatial infrastructure, positioning it as a leader in 3D city modeling and smart city technologies.