Principal Component Analysis of TerraSAR-X backscatter and coherence stacks one year (2012-2013) in the Lena River Delta, links to GeoTIFFs ...
Principal Component Analysis (PCA) is a well-established technique in remote sensing for the visualization of multidimensional data. It reduces redundancy in multiband or multitemporal imagery, increases the signal-to-noise ratio and provides an opportunity to use multitemporal datasets for change d...
| Main Authors: | , , , , |
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| Format: | Dataset |
| Language: | English |
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PANGAEA
2016
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.1594/pangaea.872142 https://doi.pangaea.de/10.1594/PANGAEA.872142 |
| Summary: | Principal Component Analysis (PCA) is a well-established technique in remote sensing for the visualization of multidimensional data. It reduces redundancy in multiband or multitemporal imagery, increases the signal-to-noise ratio and provides an opportunity to use multitemporal datasets for change detection. PCA transforms the axes of multidimensional data in such way that the new axes (the principal components) account for variances within the data, with the first PC accounting for the largest variance and the last PC accounting for the smallest variance. In our study PCA of TerraSAR-X time stacks of backscatter intensity and interferometric coherence provided a good spatial overview of the essential information contained within the multiple time slices. The PC1 for both stacks showed the most common features of the contributing images and represented the means of the temporal stacks. The PC1 of the coherence stack accounted for 29% of the variance (or unique information) and mapped (i) water bodies (lakes ... : Input dataset includes 35 repeat-pass StripMap TerraSAR-X images acquired over the central Lena River Delta, Siberia, from 3 August 2012 to 14 September 2013 every 11 days with a few gaps. TerraSAR-X is a Synthetic Aperture Radar operating in X-band (wavelength 3.1 cm, frequency 9.6 GHz). The scene size measured approximately 18 × 56 km. The orbit was in descending pass and the radar was right-looking. The acquisition incidence angle was approximately 31° and the polarization channel was HH for all used images. Local time of acquisitions was 08:34 (UTC: 22:34).Based on this dataset, two stacks were created: (1) 35 backscatter intensity images and (2) 31 sequential 11-day interferometric coherence images. All images were geocoded to the WGS84 ellipsoid with a pixel size of 10 x 10 m in the Universal Transverse Mercator (UTM) projection Zone 52N. We applied PCA to the both stacks using the PCA tool in ArcGIS TM (ESRI). We provide here the first four PCs for each of the stacks as georeferenced rasters (.tif) as ... |
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