VISTA works in the government and defense sector, supporting military planning teams that prepare training environments for mission simulation.
For the US Air Force and the US Department of Defense, Wildstream applied geospatial analytics and machine learning to satellite, terrain and infrastructure data, helping planners compare viable training sites much faster.
Planning teams evaluate and compare candidate training sites much faster than with manual analysis of separate datasets
Satellite imagery, terrain data and infrastructure datasets are evaluated together to judge whether each location is viable
Delivered for the US Air Force and Department of Defense, it supports teams preparing realistic mission simulations
Finding locations that match terrain, environmental and mission requirements is slow manual analysis across many data sources. Military planning teams must identify training environments that meet terrain and environmental constraints as well as the needs of mission simulation. Doing this by hand means cross-checking many separate maps and datasets for every candidate location.
Planning teams evaluate and compare candidate training sites much faster than with manual analysis of separate datasets.
Satellite imagery, terrain data and infrastructure datasets are evaluated together to judge whether each location is viable.
Delivered for the US Air Force and Department of Defense, it supports teams preparing realistic mission simulations.
For the US Air Force and the US Department of Defense, Wildstream applied geospatial analytics and machine learning to satellite imagery, terrain data and infrastructure datasets to identify viable training locations. Military planning teams use the results to evaluate candidate sites and compare them side by side against the requirements of each mission, instead of assembling the analysis by hand.
Satellite images are processed to describe land cover, access and surroundings for every area under consideration.
Terrain data is checked against environmental constraints, so unsuitable ground is ruled out early in the search.
Infrastructure datasets show what each location offers, adding practical criteria beyond terrain to the comparison.
Planning teams reach a shortlist of viable sites much faster, leaving more time for preparing the training itself.
Every candidate site is assessed on the same terrain, environmental and infrastructure criteria, so comparisons stay fair.
Automated analysis lets teams consider more candidate locations than a manual review could cover in the same time.