<i>HyperGas</i> 1.0: a python package for analyzing hyperspectral data for greenhouse gases from retrieval to emission rate quantification

Zhang, Xin; Maasakkers, Joannes D.; de Jong, Tobias A.; Tol, Paul; Reuland, Frances; Brandt, Adam R.; Kort, Eric A.; Adams, Taylor J.; Aben, Ilse

doi:10.5194/gmd-19-5979-2026

Articles | Volume 19, issue 13

https://doi.org/10.5194/gmd-19-5979-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-5979-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 13

Development and technical paper

|

13 Jul 2026

Development and technical paper |

| 13 Jul 2026

HyperGas 1.0: a python package for analyzing hyperspectral data for greenhouse gases from retrieval to emission rate quantification

Xin Zhang, Joannes D. Maasakkers, Tobias A. de Jong, Paul Tol, Frances Reuland, Adam R. Brandt, Eric A. Kort, Taylor J. Adams, and Ilse Aben

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Month	HTML	PDF	XML	Total
Jan 2026	1,195	875	109	2,179
Feb 2026	274	389	17	680
Mar 2026	337	398	14	749
Apr 2026	118	155	3	276
May 2026	66	94	3	163
Jun 2026	20	17	3	40
Jul 2026	454	115	18	587
Aug 2026	331	50	16	397
Sep 2026	313	151	56	520
Oct 2026	122	66	39	227

Cumulative views and downloads (calculated since 11 Jan 2026)

Month	HTML	PDF	XML	Total
Jan 2026	1,195	875	109	2,179
Feb 2026	274	389	17	680
Mar 2026	337	398	14	749
Apr 2026	118	155	3	276
May 2026	66	94	3	163
Jun 2026	20	17	3	40
Jul 2026	454	115	18	587
Aug 2026	331	50	16	397
Sep 2026	313	151	56	520
Oct 2026	122	66	39	227

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Total article views: 5,818 (including HTML, PDF, and XML) Thereof 5,616 with geography defined and 202 with unknown origin.

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Short summary

Reducing emissions of greenhouse gases such as methane and carbon dioxide is essential for addressing climate change. We developed HyperGas, an open tool that uses hyperspectral satellite images to retrieve and detect greenhouse gas plumes. It helps scientists locate emission sources, estimate their strength, and examine uncertainties through an easy workflow and visual app. Our goal is to make tracking human-made emissions more accurate and accessible, supporting better climate monitoring.