This startup provides daily, cloud-free, multi-spectral satellite imagery by using AI to synthesize data from multiple satellite constellations. This allows users to access clean imagery for vegetation monitoring and informed decision-making.
Funding
$109.2K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Consistent cloud cover obscures optical satellite imagery, creating gaps in temporal data and hindering effective monitoring of agriculture, forestry, and environmental changes. Traditional methods of cloud masking and atmospheric correction are often insufficient, leading to data loss and unreliable analysis.
Solution
ClearSKY Vision provides on-demand, cloud-free, analysis-ready satellite imagery by fusing optical and radar data from multiple sources, including Sentinel, Landsat, CBERS, and Amazônia-1. Using advanced AI algorithms, ClearSKY removes clouds, shadows, and other atmospheric distortions, delivering high-quality, multi-spectral imagery with preserved spectral integrity. Customers can order imagery for areas as small as 1 km² with revisit speeds ranging from daily to weekly. The service offers both data fusion and harmonization options, enabling seamless integration with existing Sentinel-2 workflows and unlocking historical data archives.
Target Audience
The primary target audience includes professionals in precision agriculture, forestry, environmental monitoring, and supply chain management who require consistent, cloud-free satellite imagery for informed decision-making.
Features
- AI-powered cloud removal and data fusion using Sentinel-1, Sentinel-2, Landsat 8/9, CBERS-4/4A, and Amazônia-1 data
- Generation of cloud-free Sentinel-2-like imagery with 10 spectral bands (B2, B3, B4, B5, B6, B7, B8, B8a, B11, B12)
- Option for Landsat to Sentinel-2 harmonization, enabling access to historical Landsat data within Sentinel-2 workflows
- Near real-time delivery of on-demand fused imagery with no interpolation required
- Flexible ordering options, including composite, full tile (2621 km²), and mini tile (10.24 km²) orders
- API access for seamless integration into existing geospatial workflows
- Choice of different AI models (e.g., Stratus-2, Stratus-2 No Snow, Nimbus) optimized for specific applications and regions
- Atmospheric correction with Sen2Cor for bottom-of-atmosphere disturbance removal