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Wind turbine detection
Description
An algorithm that detects wind turbines in SPOT imagery using object detection. Wind turbine detection can be used for energy production monitoring, aircraft traffic regulations, infrastructure management, and construction monitoring.
Technical information
| Source | SPOT tasking or catalog collections |
| Compatibility | - The STAC item should be a SPOT 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 format | GeoJSON file: with polygons drawn around detected wind turbines |
| Output | The 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 management → Jobs - Retrieve the results via the API |
Algorithm performance and training data
This algorithm is a classification deep learning model. It is expected to achieve a high level of recall. It is still considered as a Beta version.
The algorithm has been trained on a 40,000 object dataset created specifically for this purpose.
Further information
For more information, please visit the technical documentation.