Cloudless Satellite Imagery
No More Clouds & Shadows
Tired of looking at clouds? ClearSky Vision uses artificial intelligence and radar imagery to remove clouds, shadows, and image artifacts from optical images. So you can enjoy clean and cloudless Sentinel-2 data. Click here for more previews.
Translucent Cloud Cover
Too much ‘almost cloudless’ satellite imagery is left unused and ends up as nothing more than expensive storage. Unless it’s carefully corrected for the translucent clouds, they result in unwanted fluctuations in the end analysis. Nonetheless, watch as the image transitions from messy to clean.
More Than Cloudless!
An inherent problem with satellite imagery is the atmospheric disturbance, which makes the images less generalizable. It makes earth observation less viable for tracking smaller changes. This example is not only clouded but also affected by blue tint and overexposure. Our AI removes most image inconsistencies and empowers rapid monitoring.
Our imagery is not bound by the image size of Sentinel-2. We can create wall-to-wall cloudless imagery that fits your arbitrary size needs. No more wasted time on burdensome data cleaning, cloud detection, and data merging. Do you need 20,000×5,000 pixel images? We got it.
Leverage the power of working with useful, clean satellite images 100% of the time. No hassle, go directly to insights. No need for cloud detection and masks when there are none. You can request a trial API key on eo.clearsky.vision
Biomass & Vegetation
ClearSky Vision enables continuous agricultural monitoring by combining data from multiple different satellites in orbit. We also create the most commonly used indices used for tracking vegetation growth.
Insights about crop and soil moisture can be an important tool in agriculture. SWIR bands are important when quantifying moisture and we produce a cloud-free version of SWIR1 and SWIR2 from Sentinel-2.
The combination of optical and radar imagery makes our AI excellent for spotting changes in forests. That includes legal and illegal deforestation. Earth observation is an affordable tool for grand-scale forestry monitoring but it’s only insightful when it’s cloudless.
Access to Sample Data
You can get access to cloudless multi-spectral imagery today. If this sounds interesting, please contact Morten Fjord Pedersen, at firstname.lastname@example.org. Or get access below to historical sample data from selected areas: