1. J. R. Jensen. Remote Sensing of the Environment: An Earth Resource Perspective. Prentice Hall, 2000. [bibtex-entry]

1. Avril Behan. ON THE MATCHING ACCURACY OF RASTERISED SCANNING LASER ALTIMETER DATA. IAPRS, Vol. XXXIII, Amsterdam, 2000. [Abstract] [bibtex-entry]



2. David J. Cowen, John R. Jensen, Chad Hendrix, Mike Hodgson, Steven R. Schill, and Frank Macchiaverna. A GIS-Assisted Rail Construction Econometric Model that Incorporates LIDAR Data. pers, 66(11):1323-1328, 2000. [Abstract] [bibtex-entry]



3. Jason B. Drake and John F. Weishampel. Multifractal analysis of canopy height measures in a longleaf pine savanna. fem, 128:121-127, 2000. [WWW ] Keyword(s): Canopy height, Fractals, Laser altimetry, Longleaf pine, Multifractals, Spatial pattern. [Abstract] [bibtex-entry]



4. N. Gobron, B. Pinty, M.M. Verstraete, and J.-L. Widlowski. Advanced vegetation indices optimized for up-coming sensors: Design, performance, and applications. tgars, 38(6):2489-2505, 2000. [WWW ] Keyword(s): geophysical techniques, vegetation mapping, remote sensing, geophysical measurement technique, vegetation mapping, remote sensing, advanced vegetation indices, vegetation index, mathematical approach, medium resolution imaging spectrometer, MERIS, global imager, GLI, VEGETATION, visible, IR, infrared, SPOT, optical method, formula, fraction of absorbed photosynthetically active radiation, FAPAR. [Abstract] [bibtex-entry]



5. P. D. Hanlon and P. S. Maybeck. Multiple-Model Adaptive Estimation Using a Residual Correlation Kalman Filter Bank. AERO, 36(2):393-406, April 2000. Note: NOTE: Focus: multiple model method.[bibtex-entry]



6. Michelle A. Hofton, Jean Bernard Minster, and J. Bryan Blair. Decomposition of Laser Altimeter Waveforms. tgars, 38:1989-1996, 2000. [WWW ] Keyword(s): Data processing, Gaussian decomposition, laser altimetry, surface-finding. [bibtex-entry]



7. Juha Hyyppä, Hannu Hyyppä, Mikko Inkinen, Marcus Engdahl, Susan Linko, and Yi-Hong Zhu. Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes. fem, 128:109-120, 2000. [WWW ] Keyword(s): Forest inventory, Remote sensing, Stem volume. [Abstract] [bibtex-entry]



8. J. Hyyppä, U. Pyysalo, H. Hyyppä, and A. Samberg. ELEVATION ACCURACY OF LASER SCANNING-DERIVED DIGITAL TERRAIN AND TARGET MODELS IN FOREST ENVIRONMENT. 20th EARSeL Symposium and Workshops, Dresden, Germany, pp 8p (in press), 2000. [Abstract] [bibtex-entry]



9. J. Laferte, P. Perez, and F. Heitz. Discrete Markov Image Modeling and Inference On the Quadtree. Image, 9(3):390-404, 2000. Note: NOTE: Good theory on multiscale analysis. Mentions the Willsky approach and other approaches, so good big-picture perspective. Has good theory too. Deals with discrete pdf's so it is tailored to classification rather than estimation.[bibtex-entry]



10. Hans-Gerd Maas. Least-Squares Matching with Airborne Laserscanning Data in a TIN Structure. iaprs, 33(3a):548-555, 2000. Keyword(s): Airborne laserscanning, least-squares matching, TIN, accuracy. [Abstract] [bibtex-entry]



11. Joseph E. Means, Steven A. Acker, Brandon J. Fitt, Michael Renslow, Lisa Emerson, and Chad Hendrix. Predicting Forest Stand Characteristics with Airborne Scanning Lidar. pers, 66(11):1367-1371, 2000. [Abstract] [bibtex-entry]



12. P. A. Rosen, S. Hensley, I. R. Joughin, F. K. Li, S. N. Madsen, E. Rodriguez, and R. M. Goldstein. Synthetic Aperture Radar Interferometry. PIEEE, 88(3):333, March 2000. Note: NOTE: This. [bibtex-entry]



13. P. A. Rosen, S. Hensley, I. R. Joughin, F. K. Li, S. N. Madsen, E. Rodriguez, and R. M. Goldstein. Synthetic Aperture Radar Interferometry. Proceedings of IEEE, 88(3):333-382, 2000. [bibtex-entry]



14. Yasunori Saito, Ryuta Saito, Takuya D. Kawahara, Akio Nomura, and Satomi Takeda. Development and performance characteristics of laser-induced fluorescence imaging lidar for forestry applications. fem, 128:129-137, 2000. [WWW ] Keyword(s): Lidar, Laser-induced fluorescence, Image, Ginko tree, Forest. [Abstract] [bibtex-entry]



15. K. Sarabandi and Y. Lin. Simulation of Interferometric SAR Response for Characterizing the Scattering Phase Center Statistics of Forest Canopies. TGARS, 38(1):115-125, January 2000. Note: NOTE: This paper gives measured values for the extinction coefficient that I estimate.[bibtex-entry]



16. K. Sarabandi and Y. -C Lin. Simulation of interferometric SAR response for characterizing the scattering phase center statistics of forest canopies. Geoscience and Remote Sensing, IEEE Transactions on, 38:115-125, 2000. Note: Note: Issue: 1. [bibtex-entry]



17. M. K. Schneider, P. W. Fieguth, W. C. Karl, and A. S. Willsky. Multiscale Methods for the Segmentation and Reconstruction of Signals and Images. Image, 9(3):456-468, March 2000. Note: NOTE: This is a step beyond DW97 in that they use a nonlinear model. However, it has a close-form inverse and they formulate a psuedo-state variable that is a linear function of their state variable so they can apply the linear MKS directly.[bibtex-entry]



18. D. F. Scott. Soil wettability in forested catchments in South Africa; as measured by different methods and as affected by vegetation cover and soil characteristics. Journal of Hydrology, 231-232:87-104, 2000. [bibtex-entry]



19. R.A. Sommerfeld, J.E. Lundquist, and J. Smith. Characterizing the canopy gap structure of a disturbed forest using the Fourier transform. fem, 128:101-108, 2000. Keyword(s): Spatial statistics, Forest gaps, Fourier analysis. [Abstract] [bibtex-entry]



20. G. Sun and K.J. Ranson. Modeling lidar returns from forest canopies. tgars, 38(6):2617-2626, 2000. [WWW ] Keyword(s): forestry, vegetation mapping, geophysical techniques, remote sensing by laser beam, optical radar, geophysical measurement technique, lidar, laser remote sensing, vegetation mapping, forest, forestry, laser scattering, backscatter, lidar return, forest canopy, canopy structure, canopy geometry, subcanopy topography, waveform, three dimensional model, forest growth, simulation, crown shape, vertical distribution, ellipsoid, hemi-ellipsoid, understory, three dimensional structure. [Abstract] [bibtex-entry]



21. R. N. Treuhaft and P. R. Siqueira. Vertical Structure of Vegetated Land Surfaces from Interferometric and Polarimetric Radar. RADIO, 35(1):141-177, January 2000. Note: NOTE: This paper presents the electromagnetic scattering model for dual-baseline INSAR this is the basis for my inversion. They present 3 models. I use the simplest because it doesn't require any data other then dual-baseline INSAR. The more advanced models require POLSAR data because they consider orientation in the vegetation medium. Very littel is explained in this paper about how the numerical inversion is implemented. I learned through personal discussions with Robert Treuhaft that he used basic least-squares normal equations. His reference was [Hamilton]. It is the most basic approach to nonlinear estimation that you can use.[bibtex-entry]



22. R. N. Treuhaft and P. R. Siqueira. Vertical structure of vegetated land surfaces from interferometric and polarimetric radar. Radio Science, 35:141-177, 2000. [bibtex-entry]



23. Mike Wulder, K. Olaf Niemann, and David G. Goodenough. Local Maximum Filtering for the Extraction of Tree Locations and Basal Area from High Spatial Resolution Imagery. rse, 73:103-114, 2000. [WWW ] [Abstract] [bibtex-entry]

1. N. T. Eggleston, M. Watson, D. L. Evans, R. J. Moorhead, and J. W. McCombs. Visualization of airborne multiple-return LIDAR imagery from a forested landscape. In Anonymous, editor, Proceedings ERIM Intrnl Confr on Geospatial Infor. in Agriculture and Forestry, volume 1, pages 470-477, 2000. [bibtex-entry]



2. M. Eineder, R. Bamler, N. Adam, S. Suchandt, H. Breit, U. Steinbrecher, B. Rabus, and W. Knopfle. Analysis of SRTM interferometric X-band data: first results. In Anonymous, editor, , volume 6, pages 2593-2595, 2000. [bibtex-entry]



3. A. Neuenschwander, M. Crawford, C. Weed, and R. Gutierrez. Extraction of Digital Elevation Models for Airborne Laser Terrain Mapping Data. In Anonymous, editor, IGARS, volume 5, pages 2305-2307, July 2000. Note: NOTE: The algorithm used to provide vegetation-included and bare-surface images from the LIDAR data in my 10/2000 TGARS submission and IGARSS'00 papers was the subject of this paper. The paper itself is not very descriptive though. I got some of the details about the algorithm by talking with Chris Weed and Amy Neuenschwander.[bibtex-entry]



4. K. C. Slatton, M. M. Crawford, and B. L. Evans. Combining Interferometric Radar and Laser Altimeter Data to Improve Estimates of Topography. In Anonymous, editor, IGARS, volume 3, pages 960-962, July 2000. Note: NOTE: The poster for IGARSS had the MKS and NLO fusion, but the paper used an earlier ad hoc approach.[bibtex-entry]



5. J. J. van Zyl and Y. Kim. The Relationship Between Radar Polarimetric and Interferometric Phase. In Anonymous, editor, IGARS, volume 3, pages 1301-1303, July 2000. Note: NOTE: Talks about some of the problems of PINSAR data and indicates that it may not live up to it's potential that TC99 say it has.[bibtex-entry]

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