DocumentCode :
297852
Title :
Determination of vegetation height from SAR interferometry: a theoretical study
Author :
Sarabandi, Kamal
Author_Institution :
Radiat. Lab., Michigan Univ., Ann Arbor, MI, USA
Volume :
2
fYear :
1996
fDate :
27-31 May 1996
Firstpage :
969
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 Δk 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
Keywords :
forestry; geophysical techniques; radar theory; remote sensing by radar; synthetic aperture radar; INSAR; SAR interferometry; analytical simulation; canopy structure; distributed target; forestry; geophysical measurement technique; interferogram; interferometric SAR; numerical simulation; phase; radar remote sensing; theoretical study; two-antenna interferometer system; vegetation height; vegetation mapping; Estimation theory; Frequency estimation; Parameter estimation; Radar scattering; Random variables; Scattering parameters; Statistical analysis; Statistical distributions; Synthetic aperture radar interferometry; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
Type :
conf
DOI :
10.1109/IGARSS.1996.516537
Filename :
516537
Link To Document :
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