Paper Info
Title
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
Abstract
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.
Year
DOI
Venue
2014
10.3390/rs6098565
REMOTE SENSING
Keywords
Field
DocType
arctic,tundra,land cover,classification,polarimetry,radar,PolSAR,SAR,TerraSAR-X,Radarsat-2
Tundra,Radar,Vegetation,Polarimetry,Synthetic aperture radar,Backscatter,Multispectral image,Remote sensing,Geology,Land cover
Journal
Volume
Issue
ISSN
6
9
2072-4292
Citations 
PageRank 
References 
7
0.60
13
Authors
7
Name
Order
Citations
PageRank
tobias ullmann1364.51
Andreas Schmitt2577.20
Achim Roth315121.25
Jason Duffe4245.37
S. Dech517128.32
hanswolfgang hubberten681.03
roland baumhauer7111.73