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Geospatial & Earth Observation

Intelligent annotation for satellite imagery, aerial mapping, geospatial intelligence, and Earth observation AI systems

High-fidelity annotation for satellite and aerial imagery, buildings, roads, infrastructure, land cover, vegetation, water bodies, terrain, and environmental changes. Eidoryx supports AI systems that need to understand large-scale geographic environments, monitor changes over time, map physical assets, and extract actionable insights from complex geospatial data.

Book Demo Types of Annotation

Geospatial & Earth Observation annotation example

Types of Annotation

11 annotation types for geospatial & earth observation data.

Building & Infrastructure Annotation

Identifying and localizing buildings, bridges, towers, industrial facilities, residential structures, and other man-made infrastructure using bounding boxes, polygons, and segmentation masks. These datasets support urban mapping, infrastructure monitoring, property intelligence, and geospatial analysis.

Road & Transportation Annotation

Annotating roads, highways, streets, intersections, railways, bridges, runways, parking areas, and transportation networks. These datasets support automated mapping, transportation analysis, route planning, and infrastructure intelligence.

Land Use & Land Cover Annotation

Classifying and segmenting urban areas, agricultural land, forests, grasslands, barren land, wetlands, water bodies, and other land-cover classes. These annotations support land-use mapping, environmental monitoring, urban planning, and Earth observation systems.

Satellite & Aerial Image Segmentation

Pixel-level segmentation of geographic features, structures, terrain, vegetation, infrastructure, and environmental regions. These datasets enable precise geographic mapping, object measurement, spatial analysis, and automated image interpretation.

Change Detection Annotation

Annotating changes between satellite or aerial images captured at different times, including new construction, demolished structures, land-use changes, deforestation, flooding, infrastructure development, and other geographic changes. These datasets support temporal monitoring and automated change-detection systems.

Agriculture & Vegetation Mapping

Annotating crops, agricultural fields, forests, vegetation zones, orchards, plantations, and other green-cover regions in satellite and aerial imagery. These datasets support precision agriculture, crop monitoring, vegetation analysis, and environmental intelligence.

Water & Coastal Feature Annotation

Identifying rivers, lakes, reservoirs, coastlines, wetlands, shorelines, and other water-related geographic features. These datasets support water-resource monitoring, coastal analysis, flood mapping, and environmental applications.

Disaster & Damage Annotation

Annotating flooded areas, damaged buildings, landslides, wildfire-affected regions, destroyed infrastructure, debris, and other disaster-related features. These datasets support disaster response, damage assessment, emergency mapping, and humanitarian applications.

Urban & 3D Geospatial Annotation

Annotating buildings, roads, structures, urban zones, terrain, and spatial relationships within 3D or multi-view geospatial datasets. These annotations support digital twins, smart-city applications, 3D mapping, urban planning, and spatial intelligence.

Terrain & Natural Feature Annotation

Annotating mountains, hills, valleys, soil, rocks, forests, vegetation, and other natural geographic features. These datasets support terrain modeling, environmental analysis, geological mapping, and Earth observation.

Object Detection in Aerial Imagery

Detecting aircraft, ships, vehicles, construction equipment, solar panels, storage tanks, towers, and other objects visible in satellite and aerial imagery. These datasets support geospatial intelligence, asset monitoring, infrastructure inspection, and automated mapping.

Quality Assurance

Multi-stage annotation, senior review, and final verification.
Geospatial-specific taxonomies covering infrastructure, transportation, land cover, vegetation, water, terrain, and environmental features.
Detailed review of small objects, dense urban areas, overlapping structures, low-resolution imagery, and complex geographic boundaries.
Consistency checks across different satellite sensors, aerial platforms, resolutions, viewing angles, and geographic regions.
Dedicated verification of polygon boundaries, segmentation masks, geographic features, and object locations.
Temporal consistency checks for change-detection and multi-date imagery projects.
Quality review across different seasons, weather conditions, lighting conditions, and geographic environments.
Accuracy and completeness thresholds established before final delivery.

Why Eidoryx for Geospatial & Earth Observation?

Built for complex geospatial and Earth observation environments, where buildings, infrastructure, land, vegetation, water, terrain, and geographic changes must be accurately understood at scale. Eidoryx combines structured geospatial annotation with specialized quality workflows to create reliable datasets for satellite analytics, aerial mapping, geospatial intelligence, urban planning, infrastructure monitoring, disaster response, environmental monitoring, precision agriculture, change detection, digital twins, smart cities, and AI-powered Earth observation systems.

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