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Publications of year 1997
Books and proceedings
  1. K. N. Brooks, P. F. Ffolliott, H. M. Gregersen, and L. F. DeBano. Hydrology and the Management of Watersheds. Iowa State University Press, Ames, Iowa, 1997.
    @book{RefWorks:768,
    author={K. N. Brooks and P. F. Ffolliott and H. M. Gregersen and L. F. DeBano},
    year={1997},
    title={Hydrology and the Management of Watersheds},
    publisher={Iowa State University Press},
    address={Ames, Iowa} 
    }
    


  2. R. Brown and P. Hwang. Introduction to Random Signals and Applied Kalman Filtering. Wiley, 1997. Note: NOTE: This was my main reference for understanding the basic Kalman filter and Kalman smoother. It is very applied, and easy to read. It focuses on the algorithm rather than the theory.
    @book{RefWorks:721,
    author={R. Brown and P. Hwang},
    year={1997},
    title={Introduction to Random Signals and Applied Kalman Filtering},
    publisher={Wiley},
    note={NOTE: This was my main reference for understanding the basic Kalman filter and Kalman smoother. It is very "applied", and easy to read. It focuses on the algorithm rather than the theory.} 
    }
    


  3. D. L. Turcotte. Fractals and Chaos in Geology and Geophysics. Cambridge University Press, 1997.
    @book{RefWorks:782,
    author={D. L. Turcotte},
    year={1997},
    title={Fractals and Chaos in Geology and Geophysics},
    publisher={Cambridge University Press} 
    }
    


Articles in journal or book chapters
  1. Y. Weiss. Interpreting images by propagating Bayesian beliefs, pages 908-915. Advances in Neural Information Processing Systems. 1997. Note: Note: (editors M.C. Mozer, M.I. Jordan, and T. Petsche).
    @inbook{RefWorks:846,
    author={Y. Weiss},
    editor={Mozer,M. C. and Jordan,M. I. and Petsche,T.},
    year={1997},
    title={Interpreting images by propagating Bayesian beliefs},
    series={Advances in Neural Information Processing Systems},
    pages={908-915},
    note={note: (editors M.C. Mozer, M.I. Jordan, and T. Petsche)} 
    }
    


  2. W. S. Chaer, R. H. Bishop, and J. Ghosh. A mixture of Experts framework for adaptive Kalman filtering. IEEE Trans. on Systems, Man and Cybernetics, 27(3), June 1997.
    @article{RefWorks:796,
    author={W. S. Chaer and R. H. Bishop and J. Ghosh},
    year={1997},
    month={June},
    title={A mixture of Experts framework for adaptive Kalman filtering},
    journal={IEEE Trans. on Systems, Man and Cybernetics},
    volume={27},
    number={3} 
    }
    


  3. M. Daniel and A. Willsky. A Multiresolution Methodology for Signal-Level Fusion and Data Assimilation with Applications to Remote Sensing. PIEEE, 85(1):164-180, January 1997. Note: NOTE: They use a physical model in the MKS to relate observations to state variables. This is a step beyond CWB94 and FKWW95, neither of which did this. However, this model is linear. This is some good theory on the Markovian property and how to prove that it is satisfied.
    @article{RefWorks:709,
    author={M. Daniel and A. Willsky},
    year={1997},
    month={Jan},
    title={A Multiresolution Methodology for Signal-Level Fusion and Data Assimilation with Applications to Remote Sensing},
    journal={PIEEE},
    volume={85},
    number={1},
    pages={164-180},
    note={NOTE: They use a physical model in the MKS to relate observations to state variables. This is a step beyond CWB94 and FKWW95, neither of which did this. However, this model is linear. This is some good theory on the Markovian property and how to prove that it is satisfied.} 
    }
    


  4. M. M. Daniel and A. S. Willsky. A multiresolution methodology for signal-level fusion and data assimilation with applications to remote sensing. Proceedings of the IEEE, 85(1):164-180, 1997.
    @article{RefWorks:798,
    author={M. M. Daniel and A. S. Willsky},
    year={1997},
    title={A multiresolution methodology for signal-level fusion and data assimilation with applications to remote sensing},
    journal={Proceedings of the IEEE},
    volume={85},
    number={1},
    pages={164-180} 
    }
    


  5. M. Fujieda, T. Kudoh, V. de Cicco, and J. Calvarcho. Hydrological processes at two subtropical forest catchments: the Serra do Mar, S?o Paulo, Brazil. Journal of Hydrology, 196(1-4):26-46, 1997.
    @article{RefWorks:868,
    author={M. Fujieda and T. Kudoh and V. de Cicco and J. Calvarcho},
    year={1997},
    title={Hydrological processes at two subtropical forest catchments: the Serra do Mar, S?o Paulo, Brazil},
    journal={Journal of Hydrology},
    volume={196},
    number={1-4},
    pages={26-46} 
    }
    


  6. Erik Naesset. Estimating Timber Volume of Forest Stands using Airborne Laser Scanning Data. rse, 61:246-253, 1997. [WWW ] Keyword(s): canopy height, airborne laser scanner, ground truth.
    Abstract:
    The stand volumes of 36 Norway spruce (Picea abies Karst.) and Scots pine (Pinus sylvestris L.) stands were derived from various tree canopy height metrics and canopy cover density measured by means of an airborne laser scanner. On average, the laser transmitted 1350-1910 pulses per stand and recorded 505-1070 canopy hits with corresponding estimates of canopy height. Ground truth stand volume was regressed against mean stand height, the mean height of all laser pulses within a stand, and canopy cover density as determined from the laser data. The coefficients of determination were in the range between 0.456 and 0.887. The coefficients of variation ranged from 17.2 $\%$ to 43.3 $\%$ .

    @Article{naesset97,
    author = {Erik Naesset},
    title = {Estimating Timber Volume of Forest Stands using Airborne Laser Scanning Data},
    journal = rse,
    year = {1997},
    volume = {61},
    pages = {246-253},
    keyword = {canopy height,airborne laser scanner,ground truth},
    url = {http://www.sciencedirect.com/science/article/B6V6V-3T7JNF7-S/1/4958ce0e61f19446ba509194b5356117},
    abstract = {The stand volumes of 36 Norway spruce (Picea abies Karst.) and Scots pine (Pinus sylvestris L.) stands were derived from various tree canopy height metrics and canopy cover density measured by means of an airborne laser scanner. On average, the laser transmitted 1350-1910 pulses per stand and recorded 505-1070 canopy hits with corresponding estimates of canopy height. Ground truth stand volume was regressed against mean stand height, the mean height of all laser pulses within a stand, and canopy cover density as determined from the laser data. The coefficients of determination were in the range between 0.456 and 0.887. The coefficients of variation ranged from 17.2 $\%$ to 43.3 $\%$ . },
    
    
    
    }
    


  7. Ross Nelson. Modeling Forest Canopy Heights: The Effects of Canopy Shape. rse, 60:327-334, 1997. [WWW ] Keyword(s): Laser applications, Environmental engineering, Remote sensing, Parameter estimation, Biomass, Sampling, Spatial variables measurement, Errors, Mathematical models, Volume measurement, airborne laser scanner, Ground laser sampling, Laser measurements, Tropical forests.
    Abstract:
    Three-dimensional models that represent the top-of-canopy forest height structure were developed to simulate airborne laser profiling responses along forested transects. The simulator which produced these 3-D models constructed individual tree crowns according to a tree's total height, height to first branch, crown diameter, and crown shape (cone, parabola, ellipse, sphere, or a random assortment of these shapes), and then inserted these crowns into a fixed-area plot using mapped stand (x,y) coordinates. This two-dimensional array of forest canopy heights was randomly transected to simulate measurements by an airborne ranging laser. These simulated laser measurements were regressed with ground reference measures to develop predictive linear relationships. The assumed crown shape had a significant impact on 1) simulated laser measurements of height and 2) estimates of basal area, woody volume, and above-ground dry biomass derived via simulation. As canopy shape progressed from a conic form to a more spheric structure, average canopy height, canopy profile area, and canopy volume increased, canopy height variation decreased, and coefficients of variability were stable or decreased. In Costa Rican tropical forests, simulated laser measurements of average height, canopy profile area, and canopy volume increased 8-10 $\%$ when a parabolic rather than a conic shape was assumed. An elliptic canopy was 16-18 $\%$ taller, on average, than a conic canopy, and a spheric canopy was 23-25 $\%$ taller. The effect of these height increases and height variability changes can profoundly affect basal area, volume, and biomass estimates, but the degree to which these estimates are affected is study-area-dependent. Since canopy shape may significantly affect such estimates, canopy shapes should be noted when field data are collected for purposes of height simulation. If canopy shapes are not noted and are unknown, an assumption of an elliptical shape is suggested in order to mitigate potentially large errors which may be incurred using a generic assumption of a cone or sphere.

    @Article{nelson97,
    author = {Ross Nelson},
    title = {Modeling Forest Canopy Heights: The Effects of Canopy Shape },
    journal = rse,
    year = {1997},
    volume = {60},
    pages = {327-334},
    keywords = {Laser applications, Environmental engineering, Remote sensing, Parameter estimation, Biomass, Sampling, Spatial variables measurement, Errors, Mathematical models, Volume measurement; airborne laser scanner, Ground laser sampling, Laser measurements; Tropical forests},
    url = {http://www.sciencedirect.com/science/article/B6V6V-3SWK0SH-8/1/f9914a5d38c5a36d68ca95218d47adab},
    abstract = {Three-dimensional models that represent the top-of-canopy forest height structure were developed to simulate airborne laser profiling responses along forested transects. The simulator which produced these 3-D models constructed individual tree crowns according to a tree's total height, height to first branch, crown diameter, and crown shape (cone, parabola, ellipse, sphere, or a random assortment of these shapes), and then inserted these crowns into a fixed-area plot using mapped stand (x,y) coordinates. This two-dimensional array of forest canopy heights was randomly transected to simulate measurements by an airborne ranging laser. These simulated laser measurements were regressed with ground reference measures to develop predictive linear relationships. The assumed crown shape had a significant impact on 1) simulated laser measurements of height and 2) estimates of basal area, woody volume, and above-ground dry biomass derived via simulation. As canopy shape progressed from a conic form to a more spheric structure, average canopy height, canopy profile area, and canopy volume increased, canopy height variation decreased, and coefficients of variability were stable or decreased. In Costa Rican tropical forests, simulated laser measurements of average height, canopy profile area, and canopy volume increased 8-10 $\%$ when a parabolic rather than a conic shape was assumed. An elliptic canopy was 16-18 $\%$ taller, on average, than a conic canopy, and a spheric canopy was 23-25 $\%$ taller. The effect of these height increases and height variability changes can profoundly affect basal area, volume, and biomass estimates, but the degree to which these estimates are affected is study-area-dependent. Since canopy shape may significantly affect such estimates, canopy shapes should be noted when field data are collected for purposes of height simulation. If canopy shapes are not noted and are unknown, an assumption of an elliptical shape is suggested in order to mitigate potentially large errors which may be incurred using a generic assumption of a cone or sphere. },
    
    
    
    }
    


  8. G. Noriega and S. Pasupathy. Adaptive Estimation of Noise Covariance Matrices in Real-Time Preprocessing of Geophysical Data. TGARS, 35(5):1146-1159, Sep. 1997. Note: NOTE: This extends the innovation correlation mehtod in M72 to be *locally* adaptive.
    @article{RefWorks:729,
    author={G. Noriega and S. Pasupathy},
    year={1997},
    month={Sep.},
    title={Adaptive Estimation of Noise Covariance Matrices in Real-Time Preprocessing of Geophysical Data},
    journal={TGARS},
    volume={35},
    number={5},
    pages={1146-1159},
    note={NOTE: This extends the innovation correlation mehtod in M72 to be *locally* adaptive.} 
    }
    


  9. S. S. Saatchi and K. C. McDonald. Coherent Effects in Microwave Backscattering Models for Forest Canopies. TGARS, 35(4):1032-1044, July 1997. Note: NOTE: This discusses the advantages of the coherent approach over radiative-transfer approaches. See also Section 2.2.3.2 of my M. S. thesis.
    @article{RefWorks:741,
    author={S. S. Saatchi and K. C. McDonald},
    year={1997},
    month={Jul},
    title={Coherent Effects in Microwave Backscattering Models for Forest Canopies},
    journal={TGARS},
    volume={35},
    number={4},
    pages={1032-1044},
    note={NOTE: This discusses the advantages of the coherent approach over radiative-transfer approaches. See also Section 2.2.3.2 of my M. S. thesis.} 
    }
    


  10. U. Wegmuller and C. Werner. Retrieval of Vegetation Parameters With SAR Interferometry. TGARS, 35(1):18-24, January 1997. Note: NOTE: This paper describes how to estimate veg heights with INSAR using simple empirical mehtods.
    @article{RefWorks:703,
    author={U. Wegmuller and C. Werner},
    year={1997},
    month={Jan},
    title={Retrieval of Vegetation Parameters With SAR Interferometry},
    journal={TGARS},
    volume={35},
    number={1},
    pages={18-24},
    note={NOTE: This paper describes how to estimate veg heights with INSAR using simple empirical mehtods.} 
    }
    



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Last modified: Thu Jan 27 00:57:26 2005
Author: Kuei-Tsung Shih.


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