TY  - JOUR
A1  - Ullmann, Tobias
A1  - Schmitt, Andreas
A1  - Roth, Achim
A1  - Duffe, Jason
A1  - Dech, Stefan
A1  - Hubberten, Hans-Wolfgang
A1  - Baumhauer, Roland
T1  - Land Cover  Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery — Richards Island, Canada
N2  - In this work the potential of polarimetric Synthetic Aperture Radar (PolSAR) data of dual-polarized TerraSAR-X (HH/VV) and quad-polarized Radarsat-2 was examined in combination with multispectral Landsat 8 data for unsupervised and supervised classification of tundra land cover types of Richards Island, Canada. The classification accuracies as well as the backscatter and reflectance characteristics were analyzed using reference data collected during three field work campaigns and include in situ data and high resolution airborne photography. The optical data offered an acceptable initial accuracy for the land cover classification. The overall accuracy was increased by the combination of PolSAR and optical data and was up to 71% for unsupervised (Landsat 8 and TerraSAR-X) and up to 87% for supervised classification (Landsat 8 and Radarsat-2) for five tundra land cover types. The decomposition features of the dual and quad-polarized data showed a high sensitivity for the non-vegetated substrate (dominant surface scattering) and wetland vegetation (dominant double bounce and volume scattering). These classes had high potential to be automatically detected with unsupervised classification techniques.
KW  - radar
KW  - arctic
KW  - tundra
KW  - land cover
KW  - classification
KW  - polarimetry
KW  - PolSAR
KW  - SAR
KW  - TerraSAR-X
KW  - Radarsat-2
Y1  - 2014
UR  - https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/11330
UR  - https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-113303
ER  -