Site scale wetness classification of tundra regions with C-band SAR satellite data

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  • Barbara Widhalm
  • Annett Bartsch
  • Matthias Benjamin Siewert
  • Gustaf Hugelius
  • Elberling, Bo
  • Marina Leibman
  • Yury Dvornikov
  • Artem Khomutov

A representative and consistent wetland map for the circumpolar region is required for a range of applications including modelling of permafrost properties as well as upscaling of carbon pools and fluxes. Synthetic Aperture Radar (SAR) data has been shown to be suitable for wetland mapping, especially C-band ASAR GM data (1-km resolution). A circumpolar wetness classification map has been introduced previously [1]. With heterogeneity being a major challenge in the Arctic, higher spatial resolution products than GM are essential. In this study we therefore investigate the potential of this approach at site scale using ENVISAT ASAR WS data (∼120 m resolution). These higher resolution ASAR WS maps have been produced for study sites representing different settings throughout the Arctic and compared to high resolution land cover maps and field survey data. It can be shown that a medium resolution C-band SAR based wetness level map can be derived for tundra regions where no scattering due to tree trunks hampers the applied methodology.

OriginalsprogEngelsk
TitelProceedings of Living Planet Symposium 2016
RedaktørerL. Ouwehand
Antal sider1
ForlagEuropean Space Agency
Publikationsdato1 aug. 2016
ISBN (Elektronisk)9789292213053
StatusUdgivet - 1 aug. 2016
BegivenhedLiving Planet Symposium 2016 - Prague, Tjekkiet
Varighed: 9 maj 201613 maj 2016

Konference

KonferenceLiving Planet Symposium 2016
LandTjekkiet
ByPrague
Periode09/05/201613/05/2016
SponsorACRI-Group, Congress Tourism Grant Programme of the Prague City Municipality, et al, EUMETSAT, European Commission, Praha.eu (Portal of Prague)
NavnEuropean Space Agency, (Special Publication) ESA SP
Vol/bindSP-740
ISSN0379-6566

ID: 177189685