KEYWORDS: Synthetic aperture radar, Vegetation, Polarimetry, Animal model studies, Data acquisition, Remote sensing, Data modeling, X band, Associative arrays, S band
Within the Copernicus programme there is much interest in the ability of remote sensing technology to deliver
operational solutions to many areas of life including environmental management. This paper describes research focused
on the application of Earth Observation for Integrated Coastal Zone Management. The main topic of this research is to
explore to which extent salt marsh vegetation habitats can be identified from polarimetric SAR remotely sensed data.
Multi-frequency, multi-polarimetric SAR images from airborne (S- and X-Band quad-polarimetric from the Astrium
airborne SAR Demonstrator) is used to examine salt marsh habitat classification potential in the Llanrhidian salt marshes
in South Wales, UK. This is achieved by (1) using both supervised and unsupervised classification routines, using
several polarimetric SAR data layers as backscatter intensity, band ratios and polarimetric decomposition products, and
by (2) statistical analysis by regression of these different SAR data layers and botanical parameters acquired from recent
ecological fieldwork.
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