NDLI: Forest height estimation using single-pass dual-baseline L-Band PolInSAR data

Content Provider	IEEE Xplore Digital Library
Author	Qiaoping Zhang Yue Huang Schwaebisch, M. Mercer, B. Ming Wei
Copyright Year	2012
Description	Author affiliation: Intermap Technologies Ltd., Munich, Germany (Schwaebisch, M.) \|\| Intermap Technologies Corp., Calgary, Canada (Qiaoping Zhang; Yue Huang; Ming Wei) \|\| Department of Geomatics Engineering, University of Calgary, Canada (Mercer, B.)
Abstract	Two SAR tomographic estimators, namely the Capon method and the MUSIC method, are combined for the purposes of tree top height estimation and ground elevation retrieval from the dual-baseline datasets acquired by an experimental single-pass fully polarimetric L-Band InSAR system. Over two test sites, the preliminary results demonstrate a better estimation performance than our previously published results [4,5] using established single-baseline PolInSAR retrieval approaches.
Starting Page	7055
Ending Page	7058
File Size	2288453
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6351946
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation Tomography Synthetic aperture radar Estimation L-band Surfaces Multiple signal classification Forest SAR Polarimetry
Content Type	Text
Resource Type	Article

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Forest height estimation using single-pass dual-baseline L-Band PolInSAR data