DocumentCode
576274
Title
Effect of tree species on PALSAR INSAR coherence over Siberian forest at frozen and unfrozen conditions
Author
Thiel, Christian ; Schmullius, Christiane
Author_Institution
Dept. of Earth Obs., Friedrich-Schiller Univ., Jena, Germany
fYear
2012
fDate
22-27 July 2012
Firstpage
190
Lastpage
193
Abstract
Numerous studies demonstrated the potential of interferometric coherence for forest stem volume estimation in boreal forests. Coherence derived from winter images acquired at frozen conditions proved being favourable against unfrozen conditions. This also applies to PALSAR coherence, although featuring relatively large temporal baseline of at least 46 days. However, when using data acquired at unfrozen conditions, a large spread of coherence was observed at all stem volume levels. This scatter negatively effects the correlation of stem volume and coherence, and thus prevents using summer coherence for stem volume estimation. Besides environmental conditions, the different tree geometries can be assumed having an impact on the magnitude of decorrelation. So far, this impact has rarely been investigated in boreal forests. This paper presents the results of a study investigating the impact of tree species on PALSAR coherence. The results show increased scatter of coherence in summer. They also show that the coherence of dense forest is larger in summer than in winter. Eventually, a slight impact of the tree species on coherence was observed. This impact is larger in summer.
Keywords
forestry; geophysical techniques; radar interferometry; remote sensing by radar; synthetic aperture radar; vegetation; PALSAR INSAR coherence; Siberian forest; boreal forests; forest stem volume estimation; interferometric coherence; tree geometries; tree species; unfrozen condition; Backscatter; Coherence; Decorrelation; Remote sensing; Spaceborne radar; Synthetic aperture radar; Vegetation; INSAR; coherence; freezing; stem volume; tree species;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351605
Filename
6351605
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