Development of a computer vision model to monitor for early detection of habitat loss across the landscape. [2024 INV#DOI-65]
Description
The U.S. Fish and Wildlife Service is planning to partner with the Chesapeake Conservancy, an NGO, to develop a computer vision model to monitor for early detection of habitat loss across the landscape, a significant threat to biodiversity, including threatened and endangered species. By using a computer vision model one can rapidly identify and flag areas where habitat loss may be occurring due to natural or human-caused disturbances. Early detection can facilitate rapid responses, when appropriate, or allow practitioners to accurately calculate habitat loss over time. More accurate estimates of habitat loss allow for better management decisions and potentially shorter recovery times for threatened and endangered species.
Detailed example
AI-powered computer vision enables early detection of habitat loss, allowing faster, more accurate responses to threats. This supports better conservation decisions and helps protect and recover threatened and endangered species.
AI / analytics pattern
Other
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
AI-powered computer vision enables early detection of habitat loss, allowing faster, more accurate responses to threats. This supports better conservation decisions and helps protect and recover threatened and endangered species.
Controls / human review
ATO: No; PIA: Not published