Using advanced computing techniques for image-based monitoring [2024 INV#WO0000000109674]

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

Image and video analysis Derived by keyword rules; see methodology

Problem the AI is intended to solve

Provide tools and methods for leveraging image-based monitoring and machine learning approaches for measuring surface water properties.

Expected benefits

USGS Water Mission Area improvements in operational efficiencies and reduction in safety incidents with application of image-based monitoring techniques and methods. Enhance data portfolio and provide new data types to stakeholders at reduced cost

System outputs

Auto-labeled imagery for use in training ML models; Pre-trained models for determining water level elevation; Enhanced video files for computation of surface velocities; Auto-generated ice-affected data qualifiers

Technology

AI classification

Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…

System name(s)

Not reported

Custom-developed code

No

Public source code

Not reported

Sourcing

How it was built

Developed in-houseSource: b) Developed in-house

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