Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites
[EN] Solid waste is the third largest source of anthropogenic methane, and mitigating emissions is crucial for addressing climate change. We combine three high-resolution (30-60 m) hyperspectral satellite imagers (EMIT, EnMAP, and PRISMA) to quantify emissions from 38 strongly emitting disposal site...
| Autores: | , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/227695 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/227695 |
| Access Level: | acceso abierto |
| Palabra clave: | Methane Hyperspectral Landfill Satellite Remote sensing |
| id |
ES_ead22f103a02fa7f35f3022b8e9f7749 |
|---|---|
| oai_identifier_str |
oai:riunet.upv.es:10251/227695 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral SatellitesZhang, XinMaasakkers, Joannes D.Sharma, ShubhamLama, SrijanaTol, PaulVaron, Daniel J.Cusworth, Daniel H.Howell, KatherineThorpe, Andrew K.Brodrick, Philip G.Aben, IlseRoger-Juan, Javier|||0000-0003-4851-4185Guanter-Palomar, Luis María|||0000-0002-8389-5764MethaneHyperspectralLandfillSatelliteRemote sensing[EN] Solid waste is the third largest source of anthropogenic methane, and mitigating emissions is crucial for addressing climate change. We combine three high-resolution (30-60 m) hyperspectral satellite imagers (EMIT, EnMAP, and PRISMA) to quantify emissions from 38 strongly emitting disposal sites across worldwide urban methane hotspots. The imagers give consistent emission estimates, with EMIT and EnMAP having better sensitivity than PRISMA. Total observed emissions add up to 230 +/- 15 t h-1, representing 5% of reported global solid waste emissions. Our estimates exceed the facility-level Climate TRACE inventory by a factor of 1.8, while we only detect emissions from 9 of the inventory's 20 highest-emitting sites, highlighting the importance of facility-level information. Furthermore, multimonth observations reveal emission patterns potentially linked to facility operations. We estimate that these instruments could detect 35-60% of global landfill emissions, critically expanding on satellite instruments designed for methane and supporting emission mitigation.We thank the Jet Propulsion Laboratory (JPL), German Aerospace Center (DLR), and Italian Space Agency (ASI) for processing the Level 0 data and calibrating the Level 1B radiance data. This work was funded by the Targeting Waste emissions Observed from Space (TWOS) project funded by the Global Methane Hub. S.S. acknowledges funding from the IMEO Science Studies programme contract DTIE22-EN5036. P.T. acknowledges funding from the NSO TROPOMI national program.American Chemical SocietyDepartamento de Física AplicadaEscuela Técnica Superior de Ingeniería de TelecomunicaciónInstituto Universitario de Ingeniería del Agua y del Medio AmbienteUnited NationsAgenzia Spaziale ItalianaNetherlands Organization for Scientific ResearchRepositorio Institucional de la Universitat Politècnica de València Riunet20252025-09-02journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/227695reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2276952026-06-13T07:49:27Z |
| dc.title.none.fl_str_mv |
Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites |
| title |
Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites |
| spellingShingle |
Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites Zhang, Xin Methane Hyperspectral Landfill Satellite Remote sensing |
| title_short |
Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites |
| title_full |
Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites |
| title_fullStr |
Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites |
| title_full_unstemmed |
Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites |
| title_sort |
Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites |
| dc.creator.none.fl_str_mv |
Zhang, Xin Maasakkers, Joannes D. Sharma, Shubham Lama, Srijana Tol, Paul Varon, Daniel J. Cusworth, Daniel H. Howell, Katherine Thorpe, Andrew K. Brodrick, Philip G. Aben, Ilse Roger-Juan, Javier|||0000-0003-4851-4185 Guanter-Palomar, Luis María|||0000-0002-8389-5764 |
| author |
Zhang, Xin |
| author_facet |
Zhang, Xin Maasakkers, Joannes D. Sharma, Shubham Lama, Srijana Tol, Paul Varon, Daniel J. Cusworth, Daniel H. Howell, Katherine Thorpe, Andrew K. Brodrick, Philip G. Aben, Ilse Roger-Juan, Javier|||0000-0003-4851-4185 Guanter-Palomar, Luis María|||0000-0002-8389-5764 |
| author_role |
author |
| author2 |
Maasakkers, Joannes D. Sharma, Shubham Lama, Srijana Tol, Paul Varon, Daniel J. Cusworth, Daniel H. Howell, Katherine Thorpe, Andrew K. Brodrick, Philip G. Aben, Ilse Roger-Juan, Javier|||0000-0003-4851-4185 Guanter-Palomar, Luis María|||0000-0002-8389-5764 |
| author2_role |
author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Departamento de Física Aplicada Escuela Técnica Superior de Ingeniería de Telecomunicación Instituto Universitario de Ingeniería del Agua y del Medio Ambiente United Nations Agenzia Spaziale Italiana Netherlands Organization for Scientific Research Repositorio Institucional de la Universitat Politècnica de València Riunet |
| dc.subject.none.fl_str_mv |
Methane Hyperspectral Landfill Satellite Remote sensing |
| topic |
Methane Hyperspectral Landfill Satellite Remote sensing |
| description |
[EN] Solid waste is the third largest source of anthropogenic methane, and mitigating emissions is crucial for addressing climate change. We combine three high-resolution (30-60 m) hyperspectral satellite imagers (EMIT, EnMAP, and PRISMA) to quantify emissions from 38 strongly emitting disposal sites across worldwide urban methane hotspots. The imagers give consistent emission estimates, with EMIT and EnMAP having better sensitivity than PRISMA. Total observed emissions add up to 230 +/- 15 t h-1, representing 5% of reported global solid waste emissions. Our estimates exceed the facility-level Climate TRACE inventory by a factor of 1.8, while we only detect emissions from 9 of the inventory's 20 highest-emitting sites, highlighting the importance of facility-level information. Furthermore, multimonth observations reveal emission patterns potentially linked to facility operations. We estimate that these instruments could detect 35-60% of global landfill emissions, critically expanding on satellite instruments designed for methane and supporting emission mitigation. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2025-09-02 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://riunet.upv.es/handle/10251/227695 |
| url |
https://riunet.upv.es/handle/10251/227695 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Reconocimiento (by) http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Reconocimiento (by) http://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
American Chemical Society |
| publisher.none.fl_str_mv |
American Chemical Society |
| dc.source.none.fl_str_mv |
reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname:Universitat Politècnica de València (UPV) |
| instname_str |
Universitat Politècnica de València (UPV) |
| reponame_str |
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| collection |
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869423173321097216 |
| score |
15,812429 |