SWARA is a modern, web-based viewer that brings together aerial imagery, LiDAR, GIS layers, and AI-generated spatial datasets into a single, unified environment. It supports aerial imagery collected from manned aircraft, along with other spatial datasets such as drone imagery and LiDAR, making complex information easier to view, measure, validate, and understand—without switching tools or exporting data.
SWARA is built for performance and clarity, allowing users to explore the same location from multiple angles, understand elevation and surface context, and interact directly with both raw and derived spatial data through an intuitive web interface.
SWARA supports multi-angle viewing of aerial imagery, including oblique perspectives commonly collected from aircraft. This allows locations to be examined from different viewpoints within a single web environment, improving understanding of building form, roadway geometry, terrain, and surrounding context that is difficult to interpret from a single top-down view.
When LiDAR data is available, SWARA adds 3D and elevation context, enabling users to visualize surfaces, height variation, and terrain alongside imagery and GIS layers.
SWARA includes built-in measurement tools that allow real-world distances, areas, and features to be measured directly within the viewer. Measurements can be performed using aerial imagery, LiDAR-derived surfaces, and GIS data—supporting validation and analysis without requiring external software.
This combination of visual context and measurement helps users confirm conditions, evaluate features, and better understand spatial relationships.
SWARA is designed to display computer vision and AI-derived datasets generated from aerial imagery and LiDAR. These outputs may include detected features, classified objects, or change indicators produced using machine learning models.
By presenting AI outputs directly on top of imagery and authoritative GIS layers, SWARA allows users to
Visually verify AI results against real-world conditions
Compare detected features with existing spatial data
Explore AI insights while maintaining spatial context
This approach improves transparency and confidence in AI-generated data by keeping results closely tied to their source imagery.
SWARA brings together:
Aerial imagery, including oblique views collected from aircraft
LiDAR point clouds and derived surfaces
GIS layers with attribute access
Computer vision and AI-generated spatial datasets
All data is presented in a single, cohesive web environment, allowing seamless navigation between imagery, measurements, attributes, and derived insights.
SWARA is designed to handle large and complex spatial datasets while remaining fast and responsive. Navigation is simple and intuitive, supporting pan, zoom, rotation, and interaction across desktop, tablet, and mobile web browsers.
Performance is a core design principle—data is rendered efficiently so users can focus on understanding spatial information rather than managing tools or waiting for content to load.
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