Development of a computer vision model to monitor for early detection of habitat loss across the landscape. [2024 INV#DOI-65]
Department of the Interior · FWS
Overview
- Development stage
- In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- Not reported
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Science
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
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.
Expected benefits
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.
System outputs
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.
Technology
- AI classification
- Other
- System name(s)
- Not reported
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Not reported
- Vendor (as reported)
- Not reported
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- No
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
Not reported