Cloudless Sentinel-2 preview

Cloudless Sentinel-2

Our service recreates 10 spectral bands from Sentinel-2, free from clouds, shadows and image artifacts. This is achieved by combining data from multiple satellites, including Sentinel-1, Sentinel-2, Sentinel-3, Landsat 8/9, CBERS4/4A, and Amazônia-1, using state-of-the-art deep learning techniques. The result is the most up-to-date and reliable Sentinel-2 data available online. Below, you can explore detailed information about our cloudless service, the data generation process, and other exciting aspects of our technology.

Advanced Processing Techniques

Optical Data Cleaning

We clean up raw Sentinel-2 data to remove clouds, cloud shadows, and other image artifacts. Enhancing clarity and preserving essential spectral details across all bands. This in itself adds up to 20% more useful data.

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SAR Optical Fusion

We fuse Sentinel-1 SAR data with optical imagery to generate clear, cloud-free and consistent optical imagery. This helps ensure uninterrupted insights, even in countries with cloud-prone areas and time periods.

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Satellite Translation

Leveraging data from diverse optical satellites, we translate the imagery into a standardized Sentinel-2 format for seamless integration with your workflows. All happening within the same data fusion service.

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Data Fusion as a Service

Minimum Order Area

Order imagery for as small as 1 km² area, ensuring affordability even for small projects.

Flexible Revisit Speeds

Choose data fusion revisit speeds from 1 to 7 days to capture rapid ground changes.

Ordering Options

Select from composite, full tile, and mini tile orders to suit your project needs.

Attractive Discounts

Enjoy up to 90% off on full tiles (2621 km²) and 50% off on mini tiles (10.24 km²).

Custom Satellite Selection

Tailor your order by choosing the model that suits you, and optional satellite to meet specific criteria.

Near Real-Time Delivery

Order future delivery of live data or get historical data delivered a few hours after ordering.

To order imagery on-demand and experience the full potential of our data fusion capabilities, please visit dashboard.clearsky.vision.

Level-1 (TOA) vs Level-2A (BOA)

We historically delivered Level-2A (BOA) Sentinel-2 products. With our new Nimbus model, orders are produced at Level-1 (TOA) by default. In your downloads you can get both: the Nimbus Level-1 output and a Level-2A product (Sen2Cor-style atmospheric correction applied) for workflows that prefer BOA reflectance.

Level-1C (TOA) via Nimbus

Top-of-Atmosphere reflectance generated by Nimbus (cloudless, temporally consistent and analysis-ready).

  • Fastest availability and best temporal consistency for our fusion models.
  • Great for change detection & ML where relative signals and cadence matter most.
  • More sensitive to atmospheric effects; some indices can vary more across dates.

Level-2A (BOA) Download

Bottom-of-Atmosphere reflectance (Sen2Cor-like), derived directly from the Nimbus Level-1 products.

  • Better absolute reflectance for cross-date comparability and biophysical retrievals.
  • Preferred for BOA-based indices (e.g., more stable vegetation metrics in some settings).
  • Slightly higher latency and occasional artifacts over complex atmospheres or bright targets.

Ordering: When you order with Nimbus, we produce a Level-1C (TOA) product. From the same order you can download Level-2A (BOA) as needed. No re-ordering required as long as the data is available. Different Level-2A BOA formats available upon request.

Level-1 (TOA) provides 13 spectral bands (B1–B12) while Level-2A (BOA) downloads include 11 bands.

Read the full TOA/BOA guide

In-Depth Service Description

Click to expand for more details.

Application Areas

Our cloudless Level-1C and Level-2A data formats are compatible and interoperable with many different applications in agriculture, forestry, environmental and supply chain tracking.

Precision Agriculture

Precision Agriculture

Continuous monitoring of arable crops and pasture fields.

Modern Forestry

Modern Forestry

Wall-to-wall change detection for forests in hard to reach places.

Supply Chain

Supply Chain

Ensure compliance with continuous monitoring of deforestation.

Cloudless Fusion Models

Explore our currently available and up-and-coming AI-powered data fusion models below.

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.

Full model name
Stratus2
Required input satellites
Sentinel-1, Sentinel-2, Landsat 8/9
Spatial resolution
10 meter pr. pixel
Optional input satellites
None
Temporal revisit
Daily to weekly
Data product
Level-2A (B2, B3, B4, B5, B6, B7, B8, B8a, B11, B12)

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.

Full model name
Stratus2NoSnow
Required input satellites
Sentinel-1, Sentinel-2, Landsat 8/9
Spatial resolution
10 meter pr. pixel
Optional input satellites
None
Temporal revisit
Daily to weekly
Data product
Level-2A (B2, B3, B4, B5, B6, B7, B8, B8a, B11, B12)

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.

Full model name
TBD
Required input satellites
Sentinel-1, Sentinel-2
Spatial resolution
10 meter pr. pixel
Optional input satellites
Landsat 8/9, Sentinel-3, Amazônia-1, CBERS-4, CBERS-4a
Temporal revisit
TBD
Data product(s)
Level-1C (B1, B2, B3, B4, B5, B6, B7, B8, B8a, B9, B10, B11, B12)
Level-2A (B2, B3, B4, B5, B6, B7, B8, B8a, B11, B12)

Cloudless Sentinel-2 — Quick FAQ

We use advanced cloud removal and data-fusion by combining multiple satellites with deep learning. We clean optical imagery (clouds, cloud-shadows, atmospherics) and fuse cloud-penetrating SAR to produce multi-spectral, cloud-free images.
Sentinel-1 (A/C), Sentinel-2 (A/B/C), Sentinel-3, Landsat 8/9, CBERS-4/4A, and Amazônia-1. We continually add new satellites.
You can access cloud-free Sentinel-2 via our cloudless data fusion service on dashboard.clearsky.vision. Simply sign up with your email or Google login. You can also request sample data at clearsky.vision/demo.
Beyond the required satellites, you can select additional inputs per order (e.g., CBERS-4/4A, Amazônia-1) to improve timeliness/quality. We’ll use all available scenes within your order window to meet the requested frequency.

Access Sample Data

Below is a short time-series of an area in Sweden produced every 6th day with the Stratus-2 cloud-removal model. The time-frame is the early part of the growing season, which means rapid changes in very little time.

  • 2023-04-29

    Sample 2023-04-29
  • 2023-05-05

    Sample 2023-05-05
  • 2023-05-11

    Sample 2023-05-11
  • 2023-05-17

    Sample 2023-05-17
  • 2023-05-23

    Sample 2023-05-23
  • 2023-05-29

    Sample 2023-05-29
  • 2023-06-04

    Sample 2023-06-04
  • 2023-06-10

    Sample 2023-06-10
  • 2023-06-16

    Sample 2023-06-16
  • 2023-06-22

    Sample 2023-06-22
  • 2023-06-28

    Sample 2023-06-28

Experience the full potential of our cloudless Sentinel-2 service, including access to GeoTIFFs for various areas, and additional previews. Fill out the form below to request complete sample data.