Simulating Bistatic Scatter From Surfaces Covered With Vegetation

References

• Bretherton , F. P. 1985 . Earth system science and remote sensing . Proc. IEEE , 73 : 1118 – 1127 .
   Google Scholar
• Bernard A. C. , and Meyer-Roux J. , eds., Proc. Conf. The MARS Project: Overview and Perspectives , Office for Official Publications of the European Communities , Cat. N. CL-NA-15599-EN- C , Luxembourg , 1994 .
   Google Scholar
• Le Toan , T. , Beaudoin , A. , Riom , J. and Guyon , D. 1992 . Relating forest biomass to SAR data . IEEE Trans. Geosci. Remote Sensing , 30 : 403 – 411 .
   Web of Science ®Google Scholar
• Dobson , M. C. , Ulaby , F. T. , Le Toan , T. , Beaudoin , A. , Kasischke , E. S. and Christensen , N. L. Jr. 1992 . Dependence of radar backscatter on coniferous forest biomass . IEEE Trans. Geosci. Remote Sensing , 30 : 643 – 659 .
   Google Scholar
• Kasischke , E. S. , Bourgeau-Chavez , L. L. , Christensen , N. L. Jr. and Haney , E. 1994 . Observations on the sensitivity of ERS-1 SAR image intensity to changes in aboveground biomass in young loblolly pine forests . Int. J. Remote Sensing , 15 : 3 – 16 .
   Web of Science ®Google Scholar
• Ranson , K. J. , Saatchi , S. and Sun , G. 1995 . Boreal forest echosystem characterization with SIR-C/X-SAR . IEEE Trans. Geosci. Remote Sensing , 33 : 867 – 876 .
   Web of Science ®Google Scholar
• Askne , J. I. H. , Dammert , P. B. G. , Ulander , L. M. H. and Smith , G. 1997 . C-band repeat-pass interferometric observations of the forest . IEEE Trans. Geosci. Remote Sensing , 35 : 25 – 35 .
   Web of Science ®Google Scholar
• Le Toan , T. , Laur , H. , Mougin , E. and Lopes , A. 1989 . Multitemporal and dual polarization observations of agricultural vegetation covers by X-band SAR images . IEEE Trans. Geosci. Remote Sensing , 27 : 709 – 718 .
   Web of Science ®Google Scholar
• Bouman , B. A. M. 1991 . Crop parameter estimation from groundbased X-band (3-cm wave) radar backscattering data . Remote Sens. Environ. , 37 : 193 – 205 .
   Web of Science ®Google Scholar
• Bouman , B. A. M. and Hoekman , D. H. 1993 . Multi-temporal, multifrequency radar measurements of agricultural crops during the Agriscatt-88 campaign in the Netherlands . Int. J. Remote Sensing , 14 : 1595 – 1614 .
   Web of Science ®Google Scholar
• Ferrazzoli , P. , Paloscia , S. , Pampaloni , P. , Schiavon , G. , Sigismondi , S. and Solimini , D. 1997 . The potential of multifrequency polarimetric SAR in assessing agricultural and arboreous biomass . IEEE Trans. Geosci. Remote Sensing , 35 : 5 – 17 .
   Web of Science ®Google Scholar
• Le Toan , T. , Ribbes , F. , Wang , L.-F. , Floury , N. , Ding , K.-H. , Kong , J. A. , Fujita , M. and Kurosu , T. 1997 . Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results . IEEE Trans. Geosci. Remote Sensing , 35 : 41 – 56 .
   Web of Science ®Google Scholar
• Moran , M. S. , Vidal , A. , Troufleau , D. , Inoue , Y. and Mitchell , T. A. 1998 . Kuand C-band SAR for discriminating agricultural crop and soil conditions . IEEE Trans. Geosci. Remote Sensing , 36 : 265 – 272 .
   Web of Science ®Google Scholar
• Beaudoin , A. , Le Toan , T. , Goze , S. , Nezry , E. , Lopes , A. , Mougin , E. , Hsu , C. C. , Han , H. C. , Kong , J. A. and Shin , R. T. 1994 . Retrieval of forest biomass from SAR data . Int. J. Remote Sensing , 15 : 2777 – 2796 .
   Web of Science ®Google Scholar
• Polatin , P. F. , Sarabandi , K. and Ulaby , F. T. 1994 . An iterative inversion algorithm with application to the polarimetric radar response of vegetation canopies . IEEE Trans. Geosci. Remote Sensing , 32 : 62 – 71 .
   Google Scholar
• Rignot , E. , Way , J. B. , Williams , C. and Viereck , L. 1994 . Radar estimates of aboveground biomass in boreal forests of interior Alaska . IEEE Trans. Geosci. Remote Sensing , 32 : 1117 – 1124 .
   Web of Science ®Google Scholar
• Kasischke , E. S. , Christensen , N. L. Jr. and Bourgeau- Chavez , L. L. 1995 . Correlating radar backscatter with components of biomass in loblolly pine forest . IEEE Trans. Geosci. Remote Sensing , 33 : 643 – 659 .
   Web of Science ®Google Scholar
• Dobson , M. C. , Ulaby , F. T. , Pierce , L. E. , Sharik , T. L. , Bergen , K. M. , Kellndorfer , J. , Kendra , J. R. , Li , E. , Lin , Y. C. , Nashashibi , A. , Sarabandi , K. and Siqueira , P. 1995 . Estimation of forest biophysical characteristics in Northern Michigan with SIR- C/X-SAR . IEEE Trans. Geosci. Remote Sensing , 33 : 877 – 894 .
   Web of Science ®Google Scholar
• Wegmüller , U. and Werner , C. 1997 . Retrieval of vegetation parameters with SAR interferometry . IEEE Trans. Geosci. Remote Sensing , 35 : 18 – 24 .
   Web of Science ®Google Scholar
• Dawson , M. S. , Olvera , J. , Fung , A. K. and Manry , M. T. 1992 . “ Inversion of surface parameters using fast learning neural networks ” . In Proc. IGARSS'92 910 – 912 .
   Google Scholar
• Pierce , L. E. , Sarabandi , K. and Ulaby , F. T. 1994 . Application of an artificial neural network in canopy scattering inversion . Int. J. Remote Sensing , 15 : 3263 – 3270 .
   Web of Science ®Google Scholar
• Dawson , M. S. 1994 . “ Applications of electromagnetic scattering models to parameter retrieval and classification ” . In Microwave Scattering and Emission Models and their Applications , Edited by: Fung , A. K. Norwood , MA : Artech House . Chapt. 12
   Google Scholar
• Del Frate , F. , Schiavon , G. and Solimini , D. October 10–13 1995 . “ Neural network inversion of SAR data to retrieve vegetation parameters ” . In Int. Symp. Retrieval of bioand geophysical parameters from SAR data for land applications October 10–13 , 19 – 26 . Toulouse , France
   Google Scholar
• Xiao , R. , Carande , R. and Ghiglia , D. 1998 . A neural network approach for tree height estimation using IFSAR data . Proc. IGARSS'98 , : 1565 – 1567 .
   Google Scholar
• Imhoff , M. L. 1995 . Radar backscatter and biomass saturation: ramifications for global biomass inventory . IEEE Trans. Geosci. Remote Sensing , 33 : 510 – 518 .
   Google Scholar
• Del Frate , F. and Solimini , D. October 21–23 1998 . “ Retrieving forest biomass from SAR data inverted by a neural network algorithm ” . In Second Int. Symp. Retrieval of Bioand Geophysical Parameters from SAR Data for Land Applications October 21–23 , Noordwijk , Netherlands
   Google Scholar
• Ferrazzoli , P. , Guerriero , L. and Solimini , D. Aug. 1994 . “ Comparison between predicted performances of bistatic and monostatic radar in vegetation monitoring ” . In Proc. of IGARSS'94 Aug. , 1850 – 1852 . Pasadena , CA
   Google Scholar
• Dunsmore , M. R. B. 1993 . “ Bistatic Radars ” . In Advanced Radar Techniques and Systems , Edited by: Galati , G. 822 – 920 . Stevenage , U.K : Peter Peregrinus .
   Google Scholar
• Prati , C. , Rocca , F. , Giancola , D. and Monti Guarnieri , A. 1998 . Passive geosynchronous SAR system reusing backscattered digital audio broadcasting signals . IEEE Trans. Geosci. Remote Sensing , 36 : 1973 – 1976 .
   Google Scholar
• Ferrazzoli , P. , Guerriero , L. and Solimini , D. 1991 . Numerical model of microwave backscattering and emission from terrain covered with vegetation . J. Applied Computational Electromagnetics Soc. , 6 : 175 – 191 .
   Google Scholar
• Bracaglia , M. , Ferrazzoli , P. and Guerriero , L. 1995 . A fully polarimetric multiple scattering model for crops . Remote Sens. Environ. , 54 : 170 – 179 .
   Web of Science ®Google Scholar
• Ferrazzoli , P. and Guerriero , L. 1995 . Radar sensitivity to tree geometry and woody volume: A model analysis . IEEE Trans. Geosci. Remote Sensing , 33 : 360 – 371 .
   Web of Science ®Google Scholar
• Ferrazzoli , P. and Guerriero , L. 1995 . “ Modeling microwave emission from vegetation covered surfaces: a parametric analysis ” . In Passive Microwave Remote Sensing of Land-Atmosphere Interactions Edited by: Choudhury , B. J. , Kerr , Y. H. , Njoku , E. G. and Pampaloni , P. 389 – 402 . Utrecht , NL VSP
   Google Scholar
• Fung , A. K. and Eom , H. J. 1983 . Coherent scattering of a spherical wave from an irregular surface . IEEE Trans. Antennas Propagat. , AP31 : 68 – 72 .
   Google Scholar
• Kasischke , E. S. , Christensen , N. L. Jr. and Haney , E. M. 1994 . Modeling of geometric properties of loblolly pine tree and stand characteristics for use in radar backscatter studies . IEEE Trans. Geosci. Remote Sensing , 32 : 800 – 821 .
   Web of Science ®Google Scholar