DocumentCode :
1906753
Title :
Floodplain vegetation monitoring with the MetaSensing airborne L-band fully polarimetric radar
Author :
Corucci, Linda ; Meta, Adriano ; Coccia, Alex
Author_Institution :
MetaSensing BV, Noordwijk, Netherlands
fYear :
2015
fDate :
24-26 June 2015
Firstpage :
553
Lastpage :
558
Abstract :
In this paper some preliminary results on the classification of vegetation in floodplains by means of the MetaSensing L-band fully polarimetric airborne radar sensor are shown. A test flight has been performed over two selected areas in the Netherlands, where ground truth surveys have been done to validate the outcome of the classification. The aim of the test flight was to access the potential of distinguishing vegetation types with different hydrodinamic roughness. The classification procedure is based on a eigenvalue/eigenvector decomposition of the coherency matrix of the fully polarimetric SAR data.
Keywords :
airborne radar; eigenvalues and eigenfunctions; floods; matrix decomposition; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation mapping; Netherland; coherency matrix eigenvalue-eigenvector decomposition; floodplain vegetation monitoring; hydrodinamic roughness; metasensing L-band fully Polarimetric Airborne Radar Sensor; polarimetric SAR data; vegetation classification; Entropy; L-band; Matrix decomposition; Rivers; Scattering; Synthetic aperture radar; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Symposium (IRS), 2015 16th International
Conference_Location :
Dresden
Type :
conf
DOI :
10.1109/IRS.2015.7226341
Filename :
7226341
Link To Document :
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