Using deep learning to classify potential piping plover habitat along the Upper Missouri River
Description
The U.S. Army Corps of Engineers is required to assess piping plover habitat on the Missouri River annually, per a Biological Opinion. We have been using classification tools to map these habitats for over a decade. However, these methods are outdated and we will deep learning tools to automate the mapping of these habitats. This will create efficiencies once we have a production-scale model.
Detailed example
Prediction map of piping plover habitat
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
reduce time and effort, shorter customer wait times, allows shifting efforts to value-added science
Controls / human review
ATO: No; PIA: Not published
Data needed
We are training a UNET 3+ model using 3-m resolution satellite data acquired from PlanetScope through an agreement with the US Army Corps of Engineers. We can also acquire this same data through an interdepartmental agreement between NASA and DOI.