Unlocking the potential of ChatGPT in detecting the XCO2 hotspot captured by orbiting carbon observatory-3 satellite

Unlocking the potential of ChatGPT in detecting the XCO2 hotspot captured by orbiting carbon observatory-3 satellite

Abstract This study assesses the practical implications of ChatGPT’s ability to identify hotspots by comparing its performance to Geographical Information System (GIS) software in detecting CO2 sources and sinks observed by the Orbiting Carbon Observatory-3 (OCO-3) satellite. ChatGPT exhibited perfo...

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Bibliographic Details
Main Authors: Young-Seok Hwang, Stephan Schlueter, Biswajeet Pradhan, Jung-Sup Um
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
ChatGPT
Hotspot
GIS software
XCO2
OCO-3
Multimodal artificial intelligence
Online Access:https://doi.org/10.1038/s41598-025-13240-8
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