Δk-radar equivalent of interferometric SAR's: a theoretical study for determination of vegetation height

Theoretical aspects of estimating vegetation parameters from SAR interferometry are 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 provides a general tool to related the frequency correlation function (FCF) of distributed targets, which can conveniently be obtained experimentally, analytically, or numerically, to the phase statistics of the interferogram. An analytical form for the p.d.f. of the interferogram phase is obtained in terms of two independent parameters: 1) /spl zeta/: mean phase and 2) /spl alpha/: degree of correlation. /spl zeta/ is proportional to the scattering phase center and n is inversely proportional to the uncertainty with which /spl zeta/ can be estimated. It is shown that /spl alpha/ is directly related to the FCF of the distributed target which in turn is a function of scattering mechanisms and system parameters. 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.

[1]  Kamal Sarabandi,et al.  Michigan microwave canopy scattering model , 1990 .

[2]  Guoqing Sun,et al.  Boreal forest ecosystem characterization with SIR-C/XSAR , 1995, IEEE Trans. Geosci. Remote. Sens..

[3]  Richard M. Goldstein,et al.  Studies of multibaseline spaceborne interferometric synthetic aperture radars , 1990 .

[4]  R. Goldstein,et al.  Crossed orbit interferometry: theory and experimental results from SIR-B , 1988 .

[5]  W. P. Birkemeier,et al.  Radar tracking accuracy improvement by means of pulse-to-pulse frequency modulation , 1963, Transactions of the American Institute of Electrical Engineers, Part I: Communication and Electronics.

[6]  Donald B. Percival,et al.  Probability Density Functions for Multilook , 1994 .

[7]  Jong-Sen Lee,et al.  Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery , 1994, IEEE Trans. Geosci. Remote. Sens..

[8]  Kamal Sarabandi,et al.  Analysis and applications of backscattered frequency correlation function , 1999, IEEE Trans. Geosci. Remote. Sens..

[9]  Giovanni Alberti,et al.  The TOPSAR interferometric radar topographic mapping instrument , 1992, IEEE Trans. Geosci. Remote. Sens..

[10]  Lars M. H. Ulander,et al.  Repeat-pass SAR interferometry over forested terrain , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[11]  E. Rodríguez,et al.  Theory and design of interferometric synthetic aperture radars , 1992 .

[12]  Donald B. Percival,et al.  Probability density functions for multilook polarimetric signatures , 1994, IEEE Trans. Geosci. Remote. Sens..

[13]  Kamal Sarabandi,et al.  Estimation of forest biophysical characteristics in Northern Michigan with SIR-C/X-SAR , 1995, IEEE Trans. Geosci. Remote. Sens..

[14]  A. Laurence Gray,et al.  Repeat-pass interferometry with airborne synthetic aperture radar , 1993, IEEE Trans. Geosci. Remote. Sens..

[15]  K. Sarabandi Derivation of phase statistics from the Mueller matrix , 1992 .

[16]  W. Davenport Probability and random processes , 1970 .

[17]  Søren Nørvang Madsen,et al.  Topographic mapping using radar interferometry: processing techniques , 1993, IEEE Trans. Geosci. Remote. Sens..

[18]  Howard A. Zebker,et al.  Decorrelation in interferometric radar echoes , 1992, IEEE Trans. Geosci. Remote. Sens..

[19]  Kamal Sarabandi,et al.  Electromagnetic Scattering from Vegetation Canopies. , 1989 .

[20]  Anders Stjernman,et al.  Spatial and frequency averaging techniques for a polarimetric scatterometer system , 1994, IEEE Trans. Geosci. Remote. Sens..