Summary
Trafficability of open terrain remains a key issue in national security applications, both in operational and strategic defence planning context. Whereas in a strategic context, the planning entities may rely on irregularly updated soil maps produced on a national level and lower resolution, in operational (tactical) context, for planning defensive routes or predicting opponent’s offence, timely and accurate information on soil moisture becomes crucial. Trafficability maps of open terrain are also vital for efficient, cost-effective, and sustainable agricultural operations. They provide farmers with crucial information to optimize machinery use, maintain soil health, improve crop yields, manage risks, and implement precision agriculture practices.
National security situations have also led to a surge in demand for satellite imagery from various government agencies, international organizations, and commercial entities involved in crisis management. This increased demand has strained the available resources, making it harder for commercial users to obtain timely data. Therefore, we are aiming to provide trafficability maps by combining AI, satellite data and other non-commercial sources of satellite imagery.
The objectives of this project are to:
- Evaluate the feasibility of detecting open landscape trafficability for
machinery using soil moisture from satellite data and ancillary
information.
- Develop pre-processing chain for active and passive remote sensing
sensors and ancillary data such as cumulative precipitation, cumulative
sum of temperature, soil type, slope of the terrain, wide water bodies.
- Develop AI-based models for landscape trafficability estimation.
- Establish a daily trafficability service with OGC standard interface.
