DocumentCode :
575926
Title :
On the estimation of forest vertical structure from multibaseline polarimetric SAR data
Author :
Pardini, M. ; Caicoya, A. Toraño ; Kugler, F. ; Lee, S.-K. ; Hajnsek, I. ; Papathanassiou, K.
Author_Institution :
Microwave & Radar Inst., German Aerosp. Center (DLR), Oberpfaffenhofen, Germany
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3443
Lastpage :
3446
Abstract :
Forest characterization and biomass estimation by means of remote sensing systems are nowadays “hot topics” within the remote sensing community, given their importance in the terrestrial carbon budget. In fact, forest vertical structure is a key variable for assessing biodiversity and structural degradation and/or regeneration. Moreover, the (vertical) structure information is important as it can allow the development of accurate and robust (alometric) estimators of the forest biomass. In this paper, potentials and challenges of forest vertical structure estimation with low frequency multibaseline polarimetric synthetic aperture radar are reviewed and discussed.
Keywords :
geophysical image processing; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation mapping; biodiversity; biomass estimation; forest biomass; forest characterization; forest vertical structure estimation; low frequency multibaseline polarimetric synthetic aperture radar; multibaseline polarimetric SAR data; remote sensing community; remote sensing systems; structural degradation; structural regeneration; structure information; terrestrial carbon budget; Coherence; Estimation; L-band; Synthetic aperture radar; Tomography; Synthetic aperture radar (SAR); forest structure; parameter inversion; polarimetry; spectral estimation; tomography;
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.2012.6350680
Filename :
6350680
Link To Document :
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