Machine learning and computer vision methods for extracting information from satellite, aerial, and other remote-sensing data.
Projects can include image classification, segmentation, object detection, change detection, feature extraction, and spatial modeling.
Applications include environmental monitoring, land-use analysis, biodiversity, agriculture, and geographic research.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.