3D Urban Analytics: From Point Clouds to Planning Decisions
Traditional 2D GIS falls short when assessing vertical urban growth, microclimates, and complex built environments. Modern smart cities require true 3D spatial intelligence derived from airborne and terrestrial LiDAR point clouds.
Point Cloud Processing
Building Volume & Height
Digital Twins & Smart Cities
Master filtering, classification, and feature extraction from raw LAS/LAZ airborne and UAV LiDAR datasets.
Extract accurate 3D building footprints, heights, and volumetric urban density metrics for planning compliance.
Bridge raw elevation data with actionable decision models for flood modeling, solar urban potential, and morphology.
- CURRICULUM BREAKDOWN
4-Day Intensive Hands-on Schedule
Designed for immediate application with open-source desktop software and workflows.
Point Cloud Fundamentals & CloudCompare
Command-Line Processing with LAStools
Introduction to 3D spatial data structure, LiDAR vs Photogrammetry point clouds, importing LAS/LAZ in CloudCompare, noise filtering, subsampling, and point cloud registration.
Automated ground classification, DTM vs DSM generation, building extraction pipelines, and tile-based batch processing for large urban administrative regions.
UAV Point Cloud Processing in WebODM
3D QGIS Analytics & Planning Decisions
Generating dense point clouds from aerial imagery, setting ground control points (GCPs), exporting orthomosaics and textured 3D meshes for municipal urban planning.
Integration in QGIS 3D Canvas, shadow/viewshed analysis, canopy and building height profiling, urban morphology modeling, and exporting web-ready 3D digital twin maps.
Open-Source Tools Mastered
Learn industry-standard open-source tools that eliminate expensive proprietary software licensing while delivering enterprise-grade urban analytics.
• QGIS 3D Canvas & Point Cloud Native Layer • CloudCompare 3D Data Inspection & Filtering • LAStools Batch LiDAR Command Line Toolkit • WebODM Open Drone Map Photogrammetry Engine
Assistant Professor, Loreto College Kolkata, with extensive research and practical expertise in GIS, Remote Sensing, LiDAR point cloud processing, and urban environmental modeling.
Urban Planners, GIS Analysts, Architects, Civil Engineers, Remote Sensing Researchers, Smart City Consultants, and Post-graduate students wanting practical 3D spatial analytics skills.
Frequently Asked Questions
Are session recordings provided?
Will I get an e-certificate?
Yes, INDACA Institute of Skills provides a verified Certificate of Completion upon finishing the workshop assignments.
Yes, recorded video lectures and practice datasets will be made available to all registered participants for self-paced revision.
Need help registering?
What hardware is required?
Reach out directly via WhatsApp at +91 9038413517 or fill out the contact form below for quick assistance.
A standard Windows/Mac/Linux laptop with at least 8GB RAM (16GB recommended) for smooth 3D rendering and point cloud handling.
Register for 3D Urban Analytics Workshop
Limited cohort size to ensure interactive guidance. Registration closes 1 October 2026.
💬 WhatsApp Inquiry: +91 9038413517
✉️ Email Support: contact@indaca.in