A map as we know it does not tell the whole story; it’s missing classifications of what makes up the land such as water, types of forests, snow, grasslands, and so on. Interplay can be used as a land classification system, able to clearly define boundaries between land classes. This can then be graphically mapped out and scaled to any geographic location.
Land cover classifications can be used to understand the environment as a whole, including availability of habitat, contributors to climate change, pollution and chemicals, frequency of natural and urban settings, and general monitoring of the ecosystem. To gain an understanding of how to use a specific environment, an accurate land cover classification is key.
Interplay is able to take an inbound stream of images (satellite or arial photos) and then classify the land types according to any trained data set. Because this leverages AI, landcover analysis can be done at huge volumes and repeatedly-- showing the change in landcover (i.e. as forests are cleared, flood damage occurs, or industrial areas are built out). These tools are immensely valuable to the Intelligence Community as well as non-profit environmental organizations.f
Data security is paramount for Interplay within run-time production environments. As needed, Interplay can function as stand-alone servers within SCIF or other sensitive facilities.