Unlocking deeper geospatial insights with 3D visualization

Traditional 2D maps provide valuable information and remain essential for many geospatial applications. However, adding 3D visualization offers an additional layer of depth and perspective, enabling a clearer understanding of complex spatial relationships. By incorporating 3D views, users can gain richer context and deeper insights into terrain, structures, and spatial data.

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What is 3D visualization?

3D visualization is the process of creating three-dimensional representations of spatial data, allowing for a more immersive and detailed understanding of terrain, structures, and spatial relationships. It enhances traditional 2D mapping by incorporating depth and perspective, making it easier to analyze elevation, infrastructure, and environmental changes.

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Why 3D visualization matters

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Geospatial data is all about location, but it’s also about depth, height, and perspective. A 3D view can help:

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• Improve terrain analysis: Visualizing elevation changes, slopes, and natural formations becomes much easier in three dimensions.
• Enhance infrastructure planning: Buildings, roads, and other assets can be seen in context with their surroundings, aiding better decision-making.
• Support environmental monitoring: From tracking erosion to assessing vegetation growth, 3D views provide a better grasp of landscape changes over time.
• Enable immersive site inspections: Instead of physically visiting a site, teams can explore environments remotely with a detailed 3D representation.

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Key applications of 3D geospatial visualization

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Industries using geospatial data increasingly rely on 3D visualization to optimize workflows. Here are some common use cases:

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• Mining & resources: Accurate volumetric calculations of stockpiles and excavation areas.
• Construction & infrastructure: Site planning and progress tracking with real-world context.
• Forestry & environmental management: Assessing tree heights, canopy coverage, and biomass distribution.
• Utilities & asset inspections: Identifying risks and maintenance needs for power lines, pipelines, and other infrastructure.

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How does 3D visualization work?

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Creating a 3D geospatial model typically involves:

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1. Uploading data: Users can upload their aerial imagery into Birdi for processing (or, upload/visualize existing DEMs into the map).
2. Processing & rendering: Birdi can process the images into a range of outputs, including  orthomosaics, digital elevation models (DEMs), 3D meshes, or point clouds for visualization.
3. Visualization & analysis: Users can interact with the 3D data within a geospatial platform, extracting insights and making data-driven decisions.

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3D model types: Point clouds vs. textured meshes

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There are different types of 3D models used in geospatial visualization, each serving a unique purpose:

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• Point clouds: A collection of data points in space, typically generated from LiDAR or photogrammetry. Point clouds provide a raw, high-density representation of the environment and are useful for measuring distances, analyzing terrain, and detecting objects.

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• Textured meshes: A 3D model that combines geometry (triangulated surfaces) with texture mapping for a more realistic visual representation. Textured meshes are ideal for visual analysis, simulations, and presentations where a more intuitive, real-world appearance is needed.

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When to use each:

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• Use point clouds when high-precision measurements or classification of terrain and objects is required.
• Use textured meshes when detailed visual context is necessary, such as in planning, design reviews, or public-facing applications.
• In many cases, both are used together—point clouds for analysis and measurements, and textured meshes for visualization.

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For more on point clouds and textured meshes, check out this article: 2D & 3D photogrammetry outputs explained (ideal for beginners!)

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2D vs. 3D: When to use each

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Both 2D and 3D visualization both provide geospatial context and insights. Here’s when to use each:

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• 2D maps: Best for broad overviews, route planning, and layered data visualization.
• 3D visualization: Ideal for in-depth site analysis, elevation changes, and spatial awareness.

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3D visualization isn’t just about making geospatial data look impressive—it’s about extracting more value from it. Whether you’re analyzing terrain, planning infrastructure, or monitoring environmental changes, a three-dimensional perspective can unlock deeper insights and better decision-making.

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Want to see 3D visualization in action? Book a demo and explore how it can enhance your geospatial workflows.

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