color33 is an automated, cloud-based, online processing service that converts multispectral Earth observation images into actionable categories without requiring any training samples.
Unlike unsupervised clustering routines or machine learning approaches, color33 is based on a physical-model, producing a known set of spectral categories with known semantic associations. The service is parameter-free, fully-automated and application-independent.
Semantic enrichment of EO-data as a cloud service:
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- On-demand semantic enrichment
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- Fully automated
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- Scalable
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- Globally deployable
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- Output for workflows (e.g. change detection, water monitoring,…)
Semantic enrichment of Sentinel-2 images
Examples:
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- Construction activities/ soil sealing
The automatic identification of construction activities is based on the semantic analysis of dense time series of Sentinel-2 satellite data. Spectral changes – such as the transition from vegetation or bare soil to sealed surfaces – are continuously captured mathematically and directly translated into semantic categories (e.g., “construction site,” “new building”). This layer enables the precise, fully automated, and large-scale monitoring of soil sealing, infrastructure projects, and urban growth dynamics over time.
Vizualisation of construction activities based on semantic categorization over time (Sentinel-2 images)
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- Vegetation change
Identify patterns and trends hidden within your Sentinel-2 imagery with color33’s automated workflows. Color33 enables users to select pixels that look like vegetation based on their spectral category before calculating vegetation indices, such as NDVI, removing or minimizing the need for thresholding to extract meaningful information about vegetation.
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- Search for patterns to detect vegetation loss
- Observation over several months or years
- e.g. landslides, forest damage, deforestation, forest fire impact
Multitemporal analysis of landslide event using color33 vegetation and bare soil categories through time (Sentinel-2 images)
More information: https://app.color33.io/
Contact: office@spatial-services.com