Unlocking the potential of ChatGPT in detecting the XCO2 hotspot captured by orbiting carbon observatory-3 satellite.
Saved in:
| Title: | Unlocking the potential of ChatGPT in detecting the XCO |
|---|---|
| Authors: | Hwang YS; Data Solution Business Team, HANCOM InSpace, Daejeon, 34126, Korea., Schlueter S; Department of Mathematics, Natural and Economic Sciences, Ulm University of Applied Sciences, 89075, Ulm, Germany., Pradhan B; Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW, 2007, Australia. biswajeet.pradhan@uts.edu.au., Um JS; Department of Geography, Kyungpook National University, Daegu, 41566, Korea. jsaeom@knu.ac.kr. |
| Source: | Scientific reports [Sci Rep] 2025 Aug 07; Vol. 15 (1), pp. 28969. Date of Electronic Publication: 2025 Aug 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
