Fast Processing
Process requests of any size and receive your first enhanced satellite images in a matter of minutes.
Worldwide Coverage
Our system can enhance any image from S2 as well as any area of interest, even individual fields!
High Accuracy
With improved 1m/pixel resolution and 10 spectral bands, your images will be more accurate and detailed.
Deep Resolution Imagery Overview
The data is generated on demand and can be provided both retrospectively, starting from January 2018, as well as during current season. Currently, all images with cloud cover under 40% are processed, resulting in 10-40 scenes per year depending on location.
10x Deep Resolution
We downscaled the image resolution from 10 meters to a resolution of 1 meter per pixel.
500+ mln. Hectares
Imagery processed at 1 meter resolution multi-dates across 30+ different countries.
Any Size Images
Regular global coverage from 56° S to 84° N, including 5 years of historical archive.
API and Dashboard
We serve images via API or through dashboard so you can integrate it directly within your product.
Full Control of Data Delivery
The data from our Deep Resolution Imagery system will initially be served through DigiFarm’s client dashboard. Access through API endpoints will be available soon after for our clients to easily integrate it in their digital solutions.
Our latest accuracy report indicates an RMSE error of 0.011, which is roughly equivalent to 99% accuracy.
Two Order Types
We provide all possible S2 images for selected past period. You can convert all the settings into a subscription and receive new images too.
Cloud Coverage %
This value includes snow, defective pixels, low and high probability clouds, cloud shadows, data cover, etc.
Monthly Images
All S2 images within the criteria will be delivered, up to 6 images each month. Final monthly quantity will depend on S2 provider.
On Demand. Instant processing for small areas;
Pre-Rendered. Async processing for large areas in WMTS/WMS online server.
Deep Resolution Imagery plays a crucial role in modern agriculture by enabling data-driven decisions.
Land Use Planning
Analyzing land characteristics, such as soil types, topography, and water availability – crucial for planning the allocation of different crops, determining suitable areas for cultivation, and optimizing land use practices.
Pest and Disease Management
Farmers can detect early signs of pest infestations and disease outbreaks. This enables timely interventions, such as targeted pesticide application or disease control measures, reducing crop losses and ensuring healthier yields.
Precision Farming
Facilitate precision agriculture techniques, such as variable rate application of inputs, by providing detailed information about crop variability within a field leading to optimized resource utilization and cost savings.
Yield Prediction and Forecasting
Combined with machine learning algorithms, can be used to predict and forecast crop yields. Farmers can anticipate potential yield fluctuations, make informed marketing decisions, and optimize supply chain management.
Crop Monitoring
Monitor crop health, growth, and yield estimation. By analyzing the imagery data, farmers can identify areas of stress or disease, optimize irrigation and fertilizer application, and make informed decisions to maximize crop productivity.
Common Questions
Technical Partners That Believe In Us
