Hatfield is at the forefront of applying AI and computer vision techniques for environmental monitoring, including the development of novel AI and computer vision systems for our clients.
We apply our extensive knowledge of Earth observation sensors (including satellite, airborne, and terrestrial sensors), leading-edge computational methods, and partner with AI and computer vision experts to prototype, design, and deliver customized AI-driven solutions.
Our expertise includes:
- Object detection: identifying and locating objects of interest in satellite images using convolutional neural network (CNN) approaches, such as marine mammals, exemplified by our smartWhales space-based detection system.
- Semantic Segmentation: using deep learning to categorize satellite images into different classes based on feature characteristics, such as texture, color, and shape. We apply these methods to identify linear disturbance in forest landscapes in research to support Woodland Caribou habitat management.
- Cloud-based solutions: Hatfield develops cost-effective scalable cloud-based solutions that integrate model operation, sensor management, data visualization, and management tools. Hatfield’s GEOAnalytics Canada platform
Hatfield is a trusted advisor to government, private sector, and non-government clients on the use of remote sensing technology for environmental monitoring and management around the world. If you are keen to explore AI and deep learning, we can help you navigate the options and bring together a project design and required partnerships for success.