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Remote sensing support for the gain-loss approach for greenhouse gas inventories

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author McRoberts, Ronald E.
dc.contributor.author Næsset, Erik
dc.contributor.author Sannier, Christophe
dc.contributor.author Stehman, Stephen V.
dc.contributor.author Tomppo, Erkki O.
dc.date.accessioned 2020-06-25T08:39:47Z
dc.date.available 2020-06-25T08:39:47Z
dc.date.issued 2020-06-01
dc.identifier.citation McRoberts , R E , Næsset , E , Sannier , C , Stehman , S V & Tomppo , E O 2020 , ' Remote sensing support for the gain-loss approach for greenhouse gas inventories ' , Remote Sensing , vol. 12 , no. 11 , 1891 . https://doi.org/10.3390/rs12111891 en
dc.identifier.issn 2072-4292
dc.identifier.other PURE UUID: 79956025-4f51-4c7b-a0c3-cba672fd6a08
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/remote-sensing-support-for-the-gainloss-approach-for-greenhouse-gas-inventories(79956025-4f51-4c7b-a0c3-cba672fd6a08).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85086464747&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/43713726/remotesensing_12_01891_v2.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/45160
dc.description.abstract For tropical countries that do not have extensive ground sampling programs such as national forest inventories, the gain-loss approach for greenhouse gas inventories is often used. With the gain-loss approach, emissions and removals are estimated as the product of activity data defined as the areas of human-caused emissions and removals and emissions factors defined as the per unit area responses of carbon stocks for those activities. Remotely sensed imagery and remote sensing-based land use and land use change maps have emerged as crucial information sources for facilitating the statistically rigorous estimation of activity data. Similarly, remote sensing-based biomass maps have been used as sources of auxiliary data for enhancing estimates of emissions and removals factors and as sources of biomass data for remote and inaccessible regions. The current status of statistically rigorous methods for combining ground and remotely sensed data that comply with the good practice guidelines for greenhouse gas inventories of the Intergovernmental Panel on Climate Change is reviewed. en
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher MDPI AG
dc.relation.ispartofseries Remote Sensing en
dc.relation.ispartofseries Volume 12, issue 11 en
dc.rights openAccess en
dc.title Remote sensing support for the gain-loss approach for greenhouse gas inventories en
dc.type A2 Katsausartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department University of Minnesota Twin Cities
dc.contributor.department Norwegian University of Life Sciences
dc.contributor.department Systèmes d’Information à Référence Spatiale
dc.contributor.department State University of New York
dc.contributor.department Jaan Praks Group
dc.contributor.department Department of Electronics and Nanoengineering en
dc.subject.keyword Activity data
dc.subject.keyword Emissions factor
dc.subject.keyword IPCC good practice guidelines
dc.subject.keyword Removals factor
dc.subject.keyword Statistical estimator
dc.identifier.urn URN:NBN:fi:aalto-202006254117
dc.identifier.doi 10.3390/rs12111891
dc.type.version publishedVersion

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