{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,13]],"date-time":"2026-11-13T03:45:50Z","timestamp":1794541550673,"version":"4.9.1"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"8136","license":[{"start":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:00:00Z","timestamp":1791936000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:00:00Z","timestamp":1791936000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Nature"],"published-print":{"date-parts":[[2026,10,15]]},"DOI":"10.1038\/s41586-026-11115-0","type":"journal-article","created":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T23:03:04Z","timestamp":1792018984000},"page":"673-681","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluating space-based methane detection through a one-year blind test"],"prefix":"10.1038","volume":"658","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9463-7931","authenticated-orcid":false,"given":"Frances E.","family":"Reuland","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taylor","family":"Adams","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2180-4297","authenticated-orcid":false,"given":"Evan D.","family":"Sherwin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sahar H.","family":"El Abbadi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric A.","family":"Kort","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2528-1473","authenticated-orcid":false,"given":"Adam R.","family":"Brandt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,10,14]]},"reference":[{"key":"11115_CR1","doi-asserted-by":"publisher","first-page":"9617","DOI":"10.5194\/acp-22-9617-2022","volume":"22","author":"DJ Jacob","year":"2022","unstructured":"Jacob, D. J. et al. Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane. Atmos. Chem. Phys. 22, 9617\u20139646 (2022).","journal-title":"Atmos. Chem. Phys."},{"key":"11115_CR2","doi-asserted-by":"publisher","first-page":"765","DOI":"10.5194\/amt-17-765-2024","volume":"17","author":"ED Sherwin","year":"2024","unstructured":"Sherwin, E. D. et al. Single-blind test of nine methane-sensing satellite systems from three continents. Atmos. Meas. Tech. 17, 765\u2013782 (2024).","journal-title":"Atmos. Meas. Tech."},{"key":"11115_CR3","doi-asserted-by":"publisher","unstructured":"IPCC Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) https:\/\/doi.org\/10.1017\/9781009157896 (Cambridge Univ. Press, 2023).","DOI":"10.1017\/9781009157896"},{"key":"11115_CR4","doi-asserted-by":"publisher","first-page":"6898","DOI":"10.1002\/2014GL061503","volume":"41","author":"EA Kort","year":"2014","unstructured":"Kort, E. A. et al. Four corners: the largest US methane anomaly viewed from space. Geophys. Res. Lett. 41, 6898\u20136903 (2014).","journal-title":"Geophys. Res. Lett."},{"key":"11115_CR5","doi-asserted-by":"publisher","first-page":"6571","DOI":"10.1002\/2016GL069079","volume":"43","author":"DR Thompson","year":"2016","unstructured":"Thompson, D. R. et al. Space-based remote imaging spectroscopy of the Aliso Canyon CH4 superemitter. Geophys. Res. Lett. 43, 6571\u20136578 (2016).","journal-title":"Geophys. Res. Lett."},{"key":"11115_CR6","doi-asserted-by":"publisher","DOI":"10.1029\/2020GL090864","volume":"48","author":"DH Cusworth","year":"2021","unstructured":"Cusworth, D. H. et al. Multisatellite imaging of a gas well blowout enables quantification of total methane emissions. Geophys. Res. Lett. 48, e2020GL090864 (2021).","journal-title":"Geophys. Res. Lett."},{"key":"11115_CR7","doi-asserted-by":"publisher","first-page":"1986","DOI":"10.3390\/rs16111986","volume":"28","author":"F Li","year":"2024","unstructured":"Li, F. et al. Mapping methane super-emitters in China and United States with GF-5 02 hyperspectral imaging spectrometer. Natl Remote Sens. Bull. 28, 1986\u20132001 (2024).","journal-title":"Natl Remote Sens. Bull."},{"key":"11115_CR8","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1021\/acs.estlett.4c00399","volume":"11","author":"L Guanter","year":"2024","unstructured":"Guanter, L. et al. Multisatellite data depicts a record-breaking methane leak from a well blowout. Environ. Sci. Technol. Lett. 11, 825\u2013830\u00a0https:\/\/doi.org\/10.1021\/acs.estlett.4c00399 (2024).","journal-title":"Environ. Sci. Technol. Lett."},{"key":"11115_CR9","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abf4507","volume":"7","author":"I Irakulis-Loitxate","year":"2021","unstructured":"Irakulis-Loitxate, I. et al. Satellite-based survey of extreme methane emissions in the Permian basin. Sci. Adv. 7, eabf4507 (2021).","journal-title":"Sci. Adv."},{"key":"11115_CR10","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1126\/science.abj4351","volume":"375","author":"T Lauvaux","year":"2022","unstructured":"Lauvaux, T. et al. Global assessment of oil and gas methane ultra-emitters. Science 375, 557\u2013561\u00a0https:\/\/doi.org\/10.1126\/science.abj4351 (2022).","journal-title":"Science"},{"key":"11115_CR11","doi-asserted-by":"publisher","first-page":"26376","DOI":"10.1073\/pnas.1908712116","volume":"116","author":"S Pandey","year":"2019","unstructured":"Pandey, S. et al. Satellite observations reveal extreme methane leakage from a natural gas well blowout. Proc. Natl Acad. Sci. USA 116, 26376\u201326381 (2019).","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"11115_CR12","doi-asserted-by":"publisher","first-page":"1657","DOI":"10.5194\/amt-15-1657-2022","volume":"15","author":"E S\u00e1nchez-Garc\u00eda","year":"2022","unstructured":"S\u00e1nchez-Garc\u00eda, E., Gorro\u00f1o, J., Irakulis-Loitxate, I., Varon, D. J. & Guanter, L. Mapping methane plumes at very high spatial resolution with the WorldView-3 satellite. Atmos. Meas. Tech. 15, 1657\u20131674 (2022).","journal-title":"Atmos. Meas. Tech."},{"key":"11115_CR13","doi-asserted-by":"publisher","first-page":"5673","DOI":"10.5194\/amt-11-5673-2018","volume":"11","author":"DJ Varon","year":"2018","unstructured":"Varon, D. J. et al. Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes. Atmos. Meas. Tech. 11, 5673\u20135686 (2018).","journal-title":"Atmos. Meas. Tech."},{"key":"11115_CR14","doi-asserted-by":"publisher","first-page":"13507","DOI":"10.1029\/2019GL083798","volume":"46","author":"DJ Varon","year":"2019","unstructured":"Varon, D. J. et al. Satellite Discovery of anomalously large methane point sources from oil\/gas production. Geophys. Res. Lett. 46, 13507\u201313516 (2019).","journal-title":"Geophys. Res. Lett."},{"key":"11115_CR15","doi-asserted-by":"publisher","first-page":"2127","DOI":"10.5194\/amt-14-2127-2021","volume":"14","author":"D Jervis","year":"2021","unstructured":"Jervis, D. et al. The GHGSat-D imaging spectrometer. Atmos. Meas. Tech. 14, 2127\u20132140 (2021).","journal-title":"Atmos. Meas. Tech."},{"key":"11115_CR16","unstructured":"The Satellite. MethaneSAT https:\/\/www.methanesat.org\/satellite (2025)."},{"key":"11115_CR17","doi-asserted-by":"publisher","first-page":"6933","DOI":"10.5194\/amt-18-6933-2025","volume":"18","author":"R Duren","year":"2025","unstructured":"Duren, R. et al. The Carbon Mapper emissions monitoring system. Atmos. Meas. Tech. 18, 6933\u20136958 (2025).","journal-title":"Atmos. Meas. Tech."},{"key":"11115_CR18","unstructured":"eoPortal. GHOSt (Global Hyperspectral Observation Satellite) - eoPortal https:\/\/www.eoportal.org\/satellite-missions\/ghost#eop-quick-facts-section (2024)."},{"key":"11115_CR19","doi-asserted-by":"publisher","first-page":"112809","DOI":"10.1016\/j.rse.2021.112809","volume":"269","author":"S Jongaramrungruang","year":"2022","unstructured":"Jongaramrungruang, S., Thorpe, A. K., Matheou, G. & Frankenberg, C. MethaNet \u2013 an AI-driven approach to quantifying methane point-source emission from high-resolution 2-D plume imagery. Remote Sens. Environ. 269, 112809 (2022).","journal-title":"Remote Sens. Environ."},{"key":"11115_CR20","doi-asserted-by":"publisher","first-page":"115002","DOI":"10.1016\/j.rse.2025.115002","volume":"331","author":"T Plewa","year":"2025","unstructured":"Plewa, T., Butz, A., Frankenberg, C., Thorpe, A. K. & Marshall, J. Improvements of AI-driven emission estimation for point sources applied to high resolution 2-D methane-plume imagery. Remote Sens. Environ. 331, 115002 (2025).","journal-title":"Remote Sens. Environ."},{"key":"11115_CR21","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-47754-y","volume":"15","author":"B Rouet-Leduc","year":"2024","unstructured":"Rouet-Leduc, B. & Hulbert, C. Automatic detection of methane emissions in multispectral satellite imagery using a vision transformer. Nat. Commun. 15, 3801 (2024).","journal-title":"Nat. Commun."},{"key":"11115_CR22","doi-asserted-by":"publisher","first-page":"2625","DOI":"10.5194\/amt-17-2625-2024","volume":"17","author":"JH Bruno","year":"2024","unstructured":"Bruno, J. H., Jervis, D., Varon, D. J. & Jacob, D. J. U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers. Atmos. Meas. Tech. 17, 2625\u20132636 (2024).","journal-title":"Atmos. Meas. Tech."},{"key":"11115_CR23","unstructured":"Dashboard. Carbon Mapper https:\/\/data.carbonmapper.org\/#1\/25.3\/50.5 (2025)."},{"key":"11115_CR24","unstructured":"NASA JPL. VISIONS: the EMIT Open Data Portal. EMIT https:\/\/earth.jpl.nasa.gov\/data\/data-portal\/coverage-and-forecasts (2025)."},{"key":"11115_CR25","unstructured":"Eye on Methane Map. UNEP https:\/\/methanedata.unep.org\/map (2025)."},{"key":"11115_CR26","unstructured":"California Satellite Methane Project. California Air Resources Board https:\/\/ww2.arb.ca.gov\/our-work\/programs\/california-satellite-methane-project\/about (2025)."},{"key":"11115_CR27","unstructured":"Methane Super Emitter Program. EPA https:\/\/www.epa.gov\/compliance\/methane-super-emitter-program (2023)."},{"key":"11115_CR28","unstructured":"Nordin, S., Hoffmann, E., de Kersauson, Q. & De Catelle, W. Are you ready for the new EU rules on methane emissions in the energy sector? White & Case https:\/\/www.whitecase.com\/insight-alert\/are-you-ready-new-eu-rules-methane-emissions-energy-sector (8 April 2025)."},{"key":"11115_CR29","unstructured":"Methane Alert and Response System (MARS). UN Environment Programme https:\/\/www.unep.org\/topics\/energy\/methane\/international-methane-emissions-observatory\/methane-alert-and-response-system (2022)."},{"key":"11115_CR30","doi-asserted-by":"publisher","first-page":"9591","DOI":"10.1021\/acs.est.4c02439","volume":"58","author":"SH El Abbadi","year":"2024","unstructured":"El Abbadi, S. H. et al. Technological maturity of aircraft-based methane sensing for greenhouse gas mitigation. Environ. Sci. Technol. 58, 9591\u20139600 (2024).","journal-title":"Environ. Sci. Technol."},{"key":"11115_CR31","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-30761-2","volume":"13","author":"ED Sherwin","year":"2023","unstructured":"Sherwin, E. D. et al. Single-blind validation of space-based point-source detection and quantification of onshore methane emissions. Sci. Rep. 13, 3836 (2023).","journal-title":"Sci. Rep."},{"key":"11115_CR32","doi-asserted-by":"publisher","DOI":"10.1525\/elementa.2022.00080","volume":"10","author":"C Bell","year":"2022","unstructured":"Bell, C. Single-blind determination of methane detection limits and quantification accuracy using aircraft-based LiDAR. Elem. Sci. Anthr. 10, 00080 (2022).","journal-title":"Elem. Sci. Anthr."},{"key":"11115_CR33","doi-asserted-by":"publisher","first-page":"5794","DOI":"10.1021\/acs.est.2c09235","volume":"57","author":"C Bell","year":"2023","unstructured":"Bell, C., Ilonze, C., Duggan, A. & Zimmerle, D. Performance of continuous emission monitoring solutions under a single-blind controlled testing protocol. Environ. Sci. Technol. 57, 5794\u20135805 (2023).","journal-title":"Environ. Sci. Technol."},{"key":"11115_CR34","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1525\/elementa.373","volume":"7","author":"AP Ravikumar","year":"2019","unstructured":"Ravikumar, A. P. et al. Single-blind inter-comparison of methane detection technologies \u2013 results from the Stanford\/EDF Mobile Monitoring Challenge. Elem. Sci. Anthr. 7, 37 (2019).","journal-title":"Elem. Sci. Anthr."},{"key":"11115_CR35","first-page":"100210","volume":"17","author":"Z Darynova","year":"2023","unstructured":"Darynova, Z., Blanco, B., Juery, C., Donnat, L. & Duclaux, O. Data assimilation method for quantifying controlled methane releases using a drone and ground-sensors. Atmos. Environ. X 17, 100210 (2023).","journal-title":"Atmos. Environ. X"},{"key":"11115_CR36","unstructured":"Worden, J. R., Nickeson, J. & Policelli, F. Commercial Satellite Data Acquisition Program: GHGSat Principal Investigator Evaluation Summary https:\/\/earthdata.nasa.gov\/s3fs-public\/2025-03\/CSDA%20GHGSat%20Evaluation%20PI%20Report%20v2.pdf (CSDA, NASA, 2024)."},{"key":"11115_CR37","doi-asserted-by":"publisher","first-page":"21536","DOI":"10.1021\/acs.est.4c06702","volume":"58","author":"AK Ayasse","year":"2024","unstructured":"Ayasse, A. K. et al. Probability of detection and multi-sensor persistence of methane emissions from coincident airborne and satellite observations. Environ. Sci. Technol. 58, 21536\u201321544 (2024).","journal-title":"Environ. Sci. Technol."},{"key":"11115_CR38","doi-asserted-by":"publisher","first-page":"18134","DOI":"10.1021\/acs.est.4c14196","volume":"59","author":"X Zhang","year":"2025","unstructured":"Zhang, X. et al. Global identification of solid waste methane super emitters using hyperspectral satellites. Environ. Sci. Technol. 59, 18134\u201318145 (2025).","journal-title":"Environ. Sci. Technol."},{"key":"11115_CR39","doi-asserted-by":"crossref","unstructured":"Worden, J., Green, P., Eldering, A. & Sherwin, E. Common Practices for Quantifying Methane Emissions from Plumes Detected by Remote Sensing. Report No. NIST IR 8575 https:\/\/nvlpubs.nist.gov\/nistpubs\/ir\/2025\/NIST.IR.8575.pdf (NIST, 2025).","DOI":"10.6028\/NIST.IR.8575"},{"key":"11115_CR40","doi-asserted-by":"crossref","unstructured":"Zhang, X. et al. HyperGas 1.0: a python package for analyzing hyperspectral data for greenhouse gases from retrieval to emission rate quantification. Geosci. Model Dev. 19, 5979\u20136000 (2026).","DOI":"10.5194\/gmd-19-5979-2026"},{"key":"11115_CR41","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1038\/s41586-019-1720-3","volume":"575","author":"RM Duren","year":"2019","unstructured":"Duren, R. M. et al. California\u2019s methane super-emitters. Nature 575, 180\u2013184 (2019).","journal-title":"Nature"},{"key":"11115_CR42","doi-asserted-by":"crossref","unstructured":"Eldering, A. Methane plume detection and quantification intercomparison analysis based on EMIT measurements. Data Foundation https:\/\/datafoundation.org\/news\/reports\/812\/812-Methane-Plume-Detection-and-Quantification-Intercomparison-Analysis-Based-on-EMIT-Measurements- (2026).","DOI":"10.15868\/socialsector.52028"},{"key":"11115_CR43","unstructured":"Akani-Gu\u00e9ry, J., Roger, J. & Buchwitz, M. ESA Project MEDSUA: algorithm Intercomparison Report (AIR). (European Space Agency, 2026)."},{"key":"11115_CR44","doi-asserted-by":"publisher","first-page":"14961","DOI":"10.1021\/acs.est.5c17089","volume":"60","author":"D Jervis","year":"2026","unstructured":"Jervis, D., MacLean, J.-P. W., McKeever, J., Ramier, A. & Strupler, M. Joint estimation of the global facility-scale oil\u2013gas methane emission rate distribution and survey-mode detection probabilities from multiple satellite systems. Environ. Sci. Technol. 60, 14961\u201314970 (2026).","journal-title":"Environ. Sci. Technol."},{"key":"11115_CR45","doi-asserted-by":"publisher","unstructured":"Ramier, A. et al. Performance validation of the GHGSat Methane Constellation via controlled releases. Preprint at EarthArXiv https:\/\/doi.org\/10.31223\/X5N78R (2026).","DOI":"10.31223\/X5N78R"},{"key":"11115_CR46","doi-asserted-by":"publisher","first-page":"89","DOI":"10.5194\/amt-16-89-2023","volume":"16","author":"J Gorro\u00f1o","year":"2023","unstructured":"Gorro\u00f1o, J., Varon, D. J., Irakulis-Loitxate, I. & Guanter, L. Understanding the potential of Sentinel-2 for monitoring methane point emissions. Atmos. Meas. Tech. 16, 89\u2013107 (2023).","journal-title":"Atmos. Meas. Tech."},{"key":"11115_CR47","doi-asserted-by":"publisher","DOI":"10.1029\/2024GL108791","volume":"51","author":"C Frankenberg","year":"2024","unstructured":"Frankenberg, C. et al. Data drought in the humid tropics: how to overcome the cloud barrier in greenhouse gas remote sensing. Geophys. Res. Lett. 51, e2024GL108791 (2024).","journal-title":"Geophys. Res. Lett."},{"key":"11115_CR48","unstructured":"Carbon Mapper. Data Dispatch - Seeing around the clouds. https:\/\/carbonmapper.org\/articles\/seeing-around-the-clouds (2025)."},{"key":"11115_CR49","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1021\/acs.estlett.1c00173","volume":"8","author":"DH Cusworth","year":"2021","unstructured":"Cusworth, D. H. et al. Intermittency of large methane emitters in the Permian Basin. Environ. Sci. Technol. Lett. 8, 567\u2013573 (2021).","journal-title":"Environ. Sci. Technol. Lett."},{"key":"11115_CR50","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1038\/s41586-024-07117-5","volume":"627","author":"ED Sherwin","year":"2024","unstructured":"Sherwin, E. D. et al. US oil and gas system emissions from nearly one million aerial site measurements. Nature 627, 328\u2013334 (2024).","journal-title":"Nature"},{"key":"11115_CR51","doi-asserted-by":"publisher","unstructured":"Reuland, F., Adams, T., Galvin, K., Kort, E. A. & Brandt, A. R. Large-scale controlled methane releases for satellite-based detection and emission quantification of point-sources. Stanford Digital Repository https:\/\/doi.org\/10.25740\/QH001QT3946 (2025).","DOI":"10.25740\/QH001QT3946"},{"key":"11115_CR52","doi-asserted-by":"publisher","first-page":"2219","DOI":"10.5194\/amt-14-2219-2021","volume":"14","author":"S Knoop","year":"2021","unstructured":"Knoop, S., Bosveld, F. C., de Haij, M. J. & Apituley, A. A 2-year intercomparison of continuous-wave focusing wind lidar and tall mast wind measurements at Cabauw. Atmos. Meas. Tech. 14, 2219\u20132235 (2021).","journal-title":"Atmos. Meas. Tech."},{"key":"11115_CR53","unstructured":"Products Sizing Tool. Emerson https:\/\/www.emerson.com\/en\/measurement-instrumentation (2025)."},{"key":"11115_CR54","doi-asserted-by":"publisher","first-page":"10517","DOI":"10.1021\/acs.est.1c08575","volume":"56","author":"T Ehret","year":"2022","unstructured":"Ehret, T. et al. Global tracking and quantification of oil and gas methane emissions from recurrent Sentinel-2 imagery. Environ. Sci. Technol. 56, 10517\u201310529 (2022).","journal-title":"Environ. Sci. Technol."},{"key":"11115_CR55","doi-asserted-by":"publisher","unstructured":"Bell, C. & Zimmerle, D. METEC controlled test protocol: survey emission detection and quantification. Mountain Scholar https:\/\/doi.org\/10.25675\/10217\/235363 (2022).","DOI":"10.25675\/10217\/235363"},{"key":"11115_CR56","doi-asserted-by":"publisher","unstructured":"Green, R. O. et al. The Earth Surface Mineral Dust Source Investigation: an Earth Science Imaging Spectroscopy Mission. In Proc. 2020 IEEE Aerospace Conference 1\u201315 https:\/\/doi.org\/10.1109\/AERO47225.2020.9172731 (IEEE, 2020).","DOI":"10.1109\/AERO47225.2020.9172731"},{"key":"11115_CR57","unstructured":"Earth Observation Center of DLR. Mission. EnMAP https:\/\/www.enmap.org\/mission\/ (2023)."},{"key":"11115_CR58","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2024.3352403","volume":"62","author":"J Roger","year":"2024","unstructured":"Roger, J. et al. High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission. IEEE Trans. Geosci. Remote Sens. 62, 1\u201312 (2024).","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"11115_CR59","doi-asserted-by":"publisher","first-page":"115224","DOI":"10.1016\/j.rse.2025.115224","volume":"334","author":"F Li","year":"2026","unstructured":"Li, F. et al. Comparing the performance of different hyperspectral satellite imaging spectroscopy in mapping methane point-source emissions. Remote Sens. Environ. 334, 115224 (2026).","journal-title":"Remote Sens. Environ."},{"key":"11115_CR60","unstructured":"OHB Italia. Satellites & Missions: PRISMA. PRISMA https:\/\/www.ohb-italia.it\/satellites-missions\/ (2022)."},{"key":"11115_CR61","unstructured":"ESA. WorldView-3. Earth Online https:\/\/earth.esa.int\/eogateway\/ missions\/worldview-3 (2022)."},{"key":"11115_CR62","doi-asserted-by":"publisher","first-page":"3590","DOI":"10.3390\/rs15143590","volume":"15","author":"L Chen","year":"2023","unstructured":"Chen, L. et al. Mapping alteration minerals using ZY-1 02D hyperspectral remote sensing data in coalbed methane enrichment areas. Remote Sens. 15, 3590 (2023).","journal-title":"Remote Sens."},{"key":"11115_CR63","unstructured":"Landsat 8. USGS https:\/\/www.usgs.gov\/landsat-missions\/landsat-8 (2023)."},{"key":"11115_CR64","unstructured":"ESA. S2 Mission. SentiWiki https:\/\/sentiwiki.copernicus.eu\/web\/s2-mission (2021)."}],"container-title":["Nature"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41586-026-11115-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41586-026-11115-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41586-026-11115-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T04:44:01Z","timestamp":1792039441000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41586-026-11115-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,14]]},"references-count":64,"journal-issue":{"issue":"8136","published-print":{"date-parts":[[2026,10,15]]}},"alternative-id":["11115"],"URL":"https:\/\/doi.org\/10.1038\/s41586-026-11115-0","relation":{},"ISSN":["0028-0836","1476-4687"],"issn-type":[{"value":"0028-0836","type":"print"},{"value":"1476-4687","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,14]]},"assertion":[{"value":"13 March 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 October 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"E.A.K. is chair of the Carbon Mapper Science and Measurement Committee. A.R.B. is also a member of the committee. All other authors declare no competing interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Ethics"}}]}}