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United StatesPublic sector2019 – ongoing

National Audubon Society

Satellite habitat classification around Hurricane Harvey

Audubon reported 81% accuracy in pre-storm habitat classification and mapped post-Harvey flooding

WorkingCompany's own claimOfficial ↗

Problem

Storms hindered habitat surveys.

Approach

Audubon trained a satellite-image model using Azure and ArcGIS Pro. It mapped flooding after Harvey.

Results

81%pre-storm habitat classification accuracy reported by AudubonCompany's own claim[1]

Takeaway

Classification accuracy covered pre-storm habitats.

Categories

Business function
Production and quality
Innovation type
Process innovation
AI technology
Computer vision
Evidence
Company's own claim

Sources

  1. How Audubon Uses Drones and Artificial Intelligence to Protect Birds and the Coast
    National Audubon Society14 Mar 2019Company publication

Source summaries

[1]National Audubon Society14 Mar 2019

Audubon described a habitat-mapping proof of concept. It separately reported classification accuracy and post-storm flood mapping.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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