# The US Geological Survey reports producing its National Land Cover Database with three linked deep learning models, delivering the map faster and more cheaply

Page: https://flyvolo.ai/en/changes/ev-20251022-gis-analyst-9
Date: 2025-10-22 · Stage: Deployment
Can this record move a task judgement? yes
Occupation: https://flyvolo.ai/en/careers/gis-analyst

## Scope

United States. The Department of the Interior's own AI use-case inventory lists the USGS National Land Cover Database as deployed and operational since 22 October 2025 and developed in-house; it says the database is among the most widely used datasets the department produces, that revamping its methodology with a series of three linked deep learning models has improved the product, reduced the latency of delivery and produced it more cheaply, that its output is maps of land cover change over time, and that accuracy is assessed with high-resolution data and manual interpretation by land cover experts. One national dataset; it says nothing about how much analyst time changed.

## Source

- U.S. Department of the Interior — 2025 AI Use Case Inventory, individual use cases (CSV; entry DOI-0066, National Land Cover Database, U.S. Geological Survey) — https://www.doi.gov/sites/default/files/data/2025doigovfinalindividual2025aiusecaseinventory.csv (primary source)

## What this means

A national mapping agency now builds and updates a flagship map database with deep learning in production.

## What it does not show yet

One dataset, with no measure of analysts' time or of human review.

## How to verify it yourself

Open the Department of the Interior's 2025 AI use-case inventory (individual use cases, CSV) and find "a series of 3 linked deep learning models".


More: https://flyvolo.ai/llms.txt