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