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...

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Bibliographic Details
Main Authors: Antonova, Sofia, Kääb, Andreas, Heim, Birgit, Langer, Moritz, Boike, Julia
Format: Dataset
Language:English
Published: PANGAEA 2016
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.872142
https://doi.org/10.1594/PANGAEA.872142