← Marketplace

Shadow detection


An algorithm that detects shadows in SPOT or Pléiades imagery and returns a probability map. It identifies all pixels corresponding to shadows in satellite images. Shadow detection can be used for urban planning, construction, solar power planning, economic development tracking, and land use analysis.

Technical information

SourceSPOT, Pléiades or Pléiades Neo tasking or catalog collections
Compatibility- The STAC item should be a SPOT, Pléiades or Pléiades Neo image of the display radiometric processing level
- The STAC item should have been added to storage in 2023 or later
Required parameters- Console: If your chosen input data meets the above specifications you will be able to run your job
- API: You will need to input an Output title and the Input data
Output data formatGeoTIFF file: maps the probability of each pixel being part of a shadow
OutputThe result will be added to your account as a STAC item in a new STAC collection. You can retrieve the resulting data in one of the following ways:
- Open the console, go to Data managementJobs
- Retrieve the results via the API

Algorithm performance and training data

The model accuracy is approximately 95% for detecting tree shadows. For building shadows, the accuracy of the 1.0 model decreases to approximately 70%, and there are false positives in some water bodies being identified as shadows. Both these limitations will be improved in version 2.0.

The solution uses deep learning techniques for computer vision and is constantly improved with subsequent updates; thus far, it has been trained on tens of thousands of semantically annotated images. The model is used as part of the Tree and tree height detection algorithm.

Due to its complexity, this algorithm requires a significant running time. There are no restrictions on image dimensions, but the computing time will increase with the size of the image.

Further information

For more information, please visit the technical documentation.

Terms & conditions

View the End User License Agreement conditions

Ready to get started?

Explore UP42 now.

Sign in or create an account