USDA · USDA-079 · record R1379

The Big Data, Mapping, and Analytics Platform (BIGMAP) Project

Department of Agriculture · Natural Resources and Environment

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2019-01-01 (day precision)Source: 1/1/2019
Withheld from public reporting: Not reported

Mission

Topic area: Science
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

To produce maps of various characteristics of US forests at all locations, based on field plots measured by the US Forest Service Forest Inventory and Analysis (FIA) program only at some locations.

Expected benefits

BIGMAP maps can be used for visualizations, modeling, and decision-making at regional and sub-state scales. Provides greater precision in estimates and leads to more informed decisions about the forest resources in the US.

System outputs

Maps with predictions of various forest attributes for all of the contiguous United States and coastal Alaska.

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): Esri FS GeoPlatform (Esri Blanket Purchase Agreement)
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Esri
Vendors (standardized): Esri

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: Yes
Demographic features: k) None of the above
Training and evaluation data: Data from the Forest Inventory and Analysis (FIA) program and the Forest Inventory and Analysis Database (FIADB) were used to finetune and validate the models used.
Federal Data Catalog: catalog.data.gov ↗

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported