DocumentCode :
142954
Title :
Classification of grassland types by means of multi-seasonal TerraSAR-X and RADARSAT-2 imagery
Author :
Metz, Annekatrin ; Marconcini, Mattia ; Esch, Thomas ; Reinartz, Peter ; Ehlers, Manfred
Author_Institution :
DLR, German Aerosp. Center, Wessling, Germany
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
1202
Lastpage :
1205
Abstract :
The management and protection of grassland biodiversity is of utmost importance as they play a key role in the carbon and hydrological cycle. Therefore, the analysis of their dynamics is of great value given the current ongoing intensification of agricultural land use. To this aim, in this paper we present a novel approach for monitoring grassland dynamics based on polarimetric high-resolution SAR imagery, which is i) capable of handling either dual- or quad-polarization multi-temporal data and ii) supports targeted classification. Results based on dualpol TerraSAR-X as well as dual- and quadpol Radarsat-2 data acquired over a test area in Bavaria (Germany) in 2011 are extremely promising and confirm the effectiveness of the proposed approach.
Keywords :
agriculture; carbon; land use; radar polarimetry; synthetic aperture radar; vegetation; AD 2011; Bavaria test area; Germany; Multiseasonal TerraSAR-X imagery; agricultural land use intensification; approach effectiveness; carbon cycle; dual-pol Radarsat-2 data; dual-polarization multitemporal data; dualpol TerraSAR-X; grassland biodiversity management; grassland biodiversity protection; grassland monitoring dynamic novel approach; grassland type classification; hydrological cycle; multiseasonal RADARSAT-2 imagery; polarimetric high-resolution SAR imagery; quad-polarization multitemporal data; quadpol Radarsat-2 data; targeted classification; Accuracy; Aerodynamics; Europe; Monitoring; Remote sensing; Synthetic aperture radar; Time series analysis; Radarsat-2; Targeted classification; TerraSAR-X; grassland dynamics; polarimetry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6946647
Filename :
6946647
Link To Document :
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