Available Models & Pricing
Cloudless Data Fusion
Stratus-2 is the original ClearSKY Vision cloud-removal model and the ‘Product’ winner of the CASSINI Challenges. It leverages data from Sentinel-1 (ascending and descending), Sentinel-2, and Landsat 8/9 to produce cloudless, multi-spectral Sentinel-2 imagery. Thanks to its advanced data cleaning capabilities, Stratus-2 excels during periods with haze, thin cirrus clouds, and cloud shadows, delivering clear and accurate images. Its SAR (Synthetic Aperture Radar) capabilities make it particularly powerful in northern countries, where high SAR revisit frequencies significantly enhance image timeliness and provide more up-to-date imagery.
Inputs
- Data types
- OpticalSAR
- Required
- Sentinel-1Sentinel-2Landsat 8/9
Ordering limits
- AOI
- 1 km²+
- Geometry
- Polygon, MultiPolygon
Outputs
Stratus-2 (No Snow) is a specialized variant of the Stratus-2 cloud-removal model, designed for users who require consistent, cloud-free imagery without seasonal snow cover. Built on the same core architecture as Stratus-2, it leverages Sentinel-1 (ascending and descending), Sentinel-2, and Landsat 8/9 data to produce high-quality, multi-spectral images while reconstructing a snow-free surface, even when input data indicates snow presence. This ensures reliable and consistent imagery over time, making it particularly useful in regions with sporadic or transient snow, where intermittent snow cover can introduce inconsistencies in time-series analysis. It is especially recommended for agricultural applications, where fine-scale features such as crop health and soil conditions require stable, uninterrupted monitoring.
Inputs
- Data types
- OpticalSAR
- Required
- Sentinel-1Sentinel-2Landsat 8/9
Ordering limits
- AOI
- 1 km²+
- Geometry
- Polygon, MultiPolygon
Outputs
Nimbus represents the next generation in cloud removal technology and is currently in its final stages of testing. Engineered with modularity at its core, Nimbus integrates seamlessly with all available data sources on our platform, adapting to diverse input types for maximum versatility. By combining SAR and optical data, Nimbus achieves unprecedented accuracy in cloud removal, setting a new standard in the field. One of its most transformative advancements lies in how it processes SAR data compared to its predecessors, Stratus-2. With state-of-the-art SAR noise reduction algorithms, Nimbus extracts the maximum value from every image, even in challenging conditions.
Inputs
- Data types
- OpticalSAR
- Required
- Sentinel-1Sentinel-2
- Optional
- Landsat 8/9
Ordering limits
- AOI
- 1 km²+
- Geometry
- Polygon, MultiPolygon
Outputs
Nimbus (NDVI) is an NDVI-only variant designed for users who only need vegetation index time series. Because the pipeline is optimized to output NDVI directly (rather than preserving full multispectral fidelity), it can deliver a more temporally stable NDVI signal with fewer short-term artifacts. It matches Nimbus ordering options, while delivering NDVI as the only output for simpler workflows and lighter downloads.
Inputs
- Data types
- OpticalSAR
- Required
- Sentinel-1Sentinel-2
- Optional
- Landsat 8/9
Ordering limits
- AOI
- 1 km²+
- Geometry
- Polygon, MultiPolygon
Outputs
Get the right model for your use case
Tell us your region, AOI size, cadence, and what you want to measure. We will recommend the best model and share pricing.