Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22204
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dc.contributor.authorKumar, Laliten
dc.contributor.authorMutanga, Onisimoen
dc.date.accessioned2017-11-30T20:28:00Z-
dc.date.issued2017-
dc.identifier.citationRemote Sensing, 9(9), p. 1-8en
dc.identifier.issn2072-4292en
dc.identifier.urihttps://hdl.handle.net/1959.11/22204-
dc.description.abstractAccurate measurement and mapping of biomass is a critical component of carbon stock quantification, climate change impact assessment, suitability and location of bio-energy processing plants, assessing fuel for forest fires, and assessing merchandisable timber. While above-ground biomass includes both live and dead plant material, most of the recent research effort on biomass estimation has focussed on the 'live' component (live trees) due to the prominence of this component. Accurate estimates of biomass is a prerequisite for better understanding of the impacts of deforestation and environmental degradation on climate change. The Intergovernmental Panel on Climate Change (IPCC) [1] has listed five terrestrial ecosystem carbon pools involving biomass: above-ground biomass, below-ground biomass, litter, woody debris and soil organic matter. Of these five, above-ground biomass is the most visible, dominant, dynamic and important pool of the terrestrial ecosystem, constituting around 30% of the total terrestrial ecosystem carbon pool. Above-ground biomass estimation, and especially forest biomass, has received considerable attention over the last few decades because of increased awareness of climate warming and the role forest biomass plays in carbon sequestration and release of greenhouse gases due to deforestation. Above-ground biomass estimates are the central basis for carbon inventories and most international negotiations in carbon trading schemes. Carbon trading markets require long-term information on carbon stocks, particularly on the above-ground 'live' biomass component as this is the most dynamic, changing and manipulable component of all the biomass pools. This is the 'merchantable' component of biomass.en
dc.languageenen
dc.publisherMDPI AGen
dc.relation.ispartofRemote Sensingen
dc.titleRemote Sensing of Above-Ground Biomassen
dc.typeJournal Articleen
dc.identifier.doi10.3390/rs9090935en
dcterms.accessRightsGolden
dc.subject.keywordsEnvironmental Managementen
dc.subject.keywordsEnvironmental Monitoringen
dc.subject.keywordsPhotogrammetry and Remote Sensingen
local.contributor.firstnameLaliten
local.contributor.firstnameOnisimoen
local.subject.for2008050205 Environmental Managementen
local.subject.for2008090905 Photogrammetry and Remote Sensingen
local.subject.for2008050206 Environmental Monitoringen
local.subject.seo2008960509 Ecosystem Assessment and Management of Mountain and High Country Environmentsen
local.subject.seo2008960501 Ecosystem Assessment and Management at Regional or Larger Scalesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emaillkumar@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-chute-20171010-145551en
local.publisher.placeSwitzerlanden
local.identifier.runningnumber935en
local.format.startpage1en
local.format.endpage8en
local.peerreviewedYesen
local.identifier.volume9en
local.identifier.issue9en
local.access.fulltextYesen
local.contributor.lastnameKumaren
local.contributor.lastnameMutangaen
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:22394en
local.identifier.handlehttps://hdl.handle.net/1959.11/22204en
dc.identifier.academiclevelAcademicen
local.title.maintitleRemote Sensing of Above-Ground Biomassen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorKumar, Laliten
local.search.authorMutanga, Onisimoen
local.uneassociationUnknownen
local.identifier.wosid000414138700065en
local.year.published2017en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/8dce35e6-901b-4f20-9f13-c0a2a14c60f3en
local.subject.for2020410404 Environmental managementen
local.subject.for2020401304 Photogrammetry and remote sensingen
local.subject.seo2020180403 Assessment and management of Antarctic and Southern Ocean ecosystemsen
dc.notification.token8ad87ad1-ceae-4f4c-a9cf-68d1f15eb26aen
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