liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Approaches for hyperspectral remote flux quantification andvisualization of GHGs in the environment
Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0003-1107-3929
Linköping University, Department of Thematic Studies, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences.
2017 (English)In: Remote Sensing of Environment, ISSN 0034-4257, E-ISSN 1879-0704, Vol. 191, 81-94 p.Article in journal (Refereed) Published
Abstract [en]

Methane (CH4) and nitrous oxide (N2O) are two very potent greenhouse gases, with highly heterogeneous distributionsin both space and time. Mapping hot-spots and source areas, and measuring fluxes in different environmentshas so far not been possible on a local scale using direct measurements. We have developed amethod for simultaneous mapping of methane (CH4) and nitrous oxide (N2O), also including water vapor(H2O), using ground-based remote sensing on a landscape-sized scale by utilizing Imaging Fourier TransformSpectrometers (IFTS) with high spectral resolution and imaging rates. The approach uses calculated libraries oftransmission spectra at the spectroscopic resolutions of the IFTS, based on the HITRAN database of spectroscopiclines and our own line-by-line radiative transfer model (LBLRTM). For each species, 1024 spectra have beenmade, resulting in 10243 combinations of column densities. Using an adaptive grid, solutions are found foreach line of sight at a spectral resolution of up to 0.25 cm−1 using the full spectral region of the detector. Themodeling ismulti-layered, calculating temperatures of the background, air, and any additional gas layers, also accountingfor reflected cold sky. Background distances can bemapped fromthe amount of water vapor in each lineof sight. The described approach can be used to identify sources, quantify gas distributions, and to calculate fluxes.Visualizations can produce gas distribution images, as well as air motion videos, which are used to map fluxesusing the same data set, without the need for additional instruments for wind measurements.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 191, 81-94 p.
Keyword [en]
Hyperspectral, Thermal IR, Imaging Fourier Transform Spectrometer, Greenhouse gases, Methane, Nitrous oxide, Spectroscopic modeling, Radiative transfer, Landscape scale
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:liu:diva-134551DOI: 10.1016/j.rse.2017.01.012ISI: 000397360500007OAI: oai:DiVA.org:liu-134551DiVA: diva2:1074386
Funder
Knut and Alice Wallenberg Foundation, KAW 2010.0126Swedish Research Council, VR 2012-48
Note

Funding agencies: Knut and Alice Wallenberg Foundation [KAW 2010.0126]; Swedish Research Council VR to David Bastviken [VR 2012-48]

Available from: 2017-02-15 Created: 2017-02-15 Last updated: 2017-04-20

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Gålfalk, MagnusBastviken, David
By organisation
Tema Environmental ChangeFaculty of Arts and Sciences
In the same journal
Remote Sensing of Environment
Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 142 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf