SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Boyd Doreen S.)
 

Sökning: WFRF:(Boyd Doreen S.) > Optical and radar E...

  • Sjögersten, SofieSchool of Biosciences, University of Nottingham, College Road, Sutton Bonington, Loughborough, United Kingdom (författare)

Optical and radar Earth observation data for upscaling methane emissions linked to permafrost degradation in sub-Arctic peatlands in northern Sweden

  • Artikel/kapitelEngelska2023

Förlag, utgivningsår, omfång ...

  • Copernicus Publications,2023
  • electronicrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:umu-218475
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-218475URI
  • https://doi.org/10.5194/bg-20-4221-2023DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Errata: https://doi.org/10.5194/bg-20-4221-2023-corrigendum
  • Permafrost thaw in Arctic regions is increasing methane (CH4) emissions into the atmosphere, but quantification of such emissions is difficult given the large and remote areas impacted. Hence, Earth observation (EO) data are critical for assessing permafrost thaw, associated ecosystem change and increased CH4 emissions. Often extrapolation from field measurements using EO is the approach employed. However, there are key challenges to consider. Landscape CH4 emissions result from a complex local-scale mixture of micro-topographies and vegetation types that support widely differing CH4 emissions, and it is difficult to detect the initial stages of permafrost degradation before vegetation transitions have occurred. This study considers the use of a combination of ultra-high-resolution unoccupied aerial vehicle (UAV) data and Sentinel-1 and Sentinel-2 data to extrapolate field measurements of CH4 emissions from a set of vegetation types which capture the local variation in vegetation on degrading palsa wetlands. We show that the ultra-high-resolution UAV data can map spatial variation in vegetation relevant to variation in CH4 emissions and extrapolate these across the wider landscape. We further show how this can be integrated with Sentinel-1 and Sentinel-2 data. By way of a soft classification and simple correction of misclassification bias of a hard classification, the output vegetation mapping and subsequent extrapolation of CH4 emissions closely matched the results generated using the UAV data. Interferometric synthetic-aperture radar (InSAR) assessment of subsidence together with the vegetation classification suggested that high subsidence rates of palsa wetland can be used to quantify areas at risk of increased CH4 emissions. The transition of a 50 ha area currently experiencing subsidence to fen vegetation is estimated to increase emissions from 116 kg CH4 per season to emissions as high as 6500 to 13 000 kg CH4 per season. The key outcome from this study is that a combination of high- and low-resolution EO data of different types provides the ability to estimate CH4 emissions from large geographies covered by a fine mixture of vegetation types which are vulnerable to transitioning to CH4 emitters in the near future. This points to an opportunity to measure and monitor CH4 emissions from the Arctic over space and time with confidence.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Ledger, MarthaSchool of Biosciences, University of Nottingham, College Road, Sutton Bonington, Loughborough, United Kingdom (författare)
  • Siewert, Matthias B.,1985-Umeå universitet,Institutionen för ekologi, miljö och geovetenskap(Swepub:umu)masi0110 (författare)
  • De La Barreda-Bautista, BetsabéSchool of Biosciences, University of Nottingham, College Road, Sutton Bonington, Loughborough, United Kingdom; School of Geography, University of Nottingham, University Park, Nottingham, United Kingdom (författare)
  • Sowter, AndrewTerra Motion Ltd, Ingenuity Centre, Triumph Rd, Nottingham, United Kingdom (författare)
  • Gee, DavidTerra Motion Ltd, Ingenuity Centre, Triumph Rd, Nottingham, United Kingdom (författare)
  • Foody, GilesSchool of Geography, University of Nottingham, University Park, Nottingham, United Kingdom (författare)
  • Boyd, Doreen S.School of Geography, University of Nottingham, University Park, Nottingham, United Kingdom (författare)
  • School of Biosciences, University of Nottingham, College Road, Sutton Bonington, Loughborough, United KingdomInstitutionen för ekologi, miljö och geovetenskap (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Biogeosciences: Copernicus Publications20:20, s. 4221-42391726-41701726-4189

Internetlänk

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy