NDLI: Determination of vegetation height from SAR interferometry: a theoretical study

Content Provider	IEEE Xplore Digital Library
Author	Sarabandi, K.
Copyright Year	1996
Description	Author affiliation: Radiat. Lab., Michigan Univ., Ann Arbor, MI, USA (Sarabandi, K.)
Abstract	In this paper the theoretical aspects of estimating vegetation parameters from SAR interferometry is presented. In conventional applications of interferometric SAR (INSAR), the phase of the interferogram is used to retrieve the location of the scattering phase center of the target. Although the location of scattering phase center for point targets can be determined very accurately, for a distributed target such as a forest canopy this is not the case. For distributed targets the phase of the interferogram is a random variable which in general is a function of the system and target attributes. To relate the statistics of the interferogram phase to the target attributes, first an equivalence relationship between the two-antenna interferometer system and an equivalent /spl Delta/k radar system is established. This equivalence relationship is needed to related the frequency correlation function of distributed targets, which can conveniently be obtained experimentally, analytically, or numerically, to the phase statistics of the interferogram. It is shown that the frequency correlation function of distributed targets which in turn is a function of scattering mechanisms and system parameters determines the accuracy with which canopy height can be estimated. It is also shown that for a uniform closed canopy the extinction and the physical height of the canopy top can be estimated very accurately. Some analytical and numerical simulations are demonstrated.
Starting Page	969
Ending Page	971
File Size	320024
Page Count	3
File Format	PDF
ISBN	0780330684
DOI	10.1109/IGARSS.1996.516537
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation Radar scattering Statistical distributions Frequency estimation Estimation theory Parameter estimation Synthetic aperture radar interferometry Random variables Statistical analysis Scattering parameters
Content Type	Text
Resource Type	Article

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