1. M. Chang. Forest Hydrology: An Introduction to Water and Forests. CRC Press, 2003. [bibtex-entry]

1. R. Stirzaker, R. Vertessy, and A. Sarre. Trees, Water, and Salt: An Australian Guide to Using Trees for Healthy Catchments and Productive Farms. Rural Industries Research and Development Corporation, RIRDC, 2002. Note: NOTE: Good layman descriptions of hill slopes interms of hydrologic parameters, such as concavity, etc. Nice figures. I have a hard time collecting all of the bibliogrpahic info since this is not a normal published book. It is a publication of the Austrialian government, but it is not free, so you can simply download it. Go to (http://www.agric.uwa.edu.au/soils/tw&s/) to view text of the chapters. I printed out Chapter 2. I found most of the bibliographic information be serach ing for trees, water, and salt on the CSIRO Web site. Chapter 2 makes the point that shape (concavity) of the slope affects local water table depth and vegetation.[bibtex-entry]

1. Y. Bar-Shalom, X. R. Li, and T. Kirubarajan. Estimation with Applications to Tracking and Navigation. Wiley, 2001. [bibtex-entry]



2. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wiley, 2001. [bibtex-entry]



3. J. G. Proakis and M. Salehi. Communication Systems Engineering. Prentice Hall, New York, 2001. [bibtex-entry]



4. K. Clint Slatton. Adaptive Multiscale Estimation for Fusing Image Data. Ph.D. Dissertation, University of Texas at Austin, 2001. Note: NOTE: My dissertation.[bibtex-entry]

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

1. E. W. Kamen and J. K. Su. Introduction to Optimal Estimation. Springer-Verlag, 1999. Note: NOTE: Good theory-heavy Kalman filter reference.[bibtex-entry]



2. A. V. Oppenheim, R. W. Schafer, and J. R. Buck. Discrete-Time Signal Processing. Prentice Hall, Upper Saddle River, NJ, 1999. [bibtex-entry]

1. R. A. Johnson and D. W. Wichern. Applied Multivariate Statistical Analysis. Prentice Hall, 1998. Note: NOTE: This has good and easy to read multivariate theory. Sect. 4.6 and 4.8 are especially useful in discussing the implications of non-normally distributed data.[bibtex-entry]



2. D. Knighton. Fluvial Forms and Processes: A New Perspective. Arnold, 1998. [bibtex-entry]



3. J. L. Starck, F. Murtagh, and A. Bijaoui. Image Processing and Data Analysis: the Multiscale Approach. Cambridge University Press, 1998. Note: NOTE: This is the reference for my attempt to estimate multiscale process noise directly in my 10/2000 TGARS submission. The book's methods are interesting, but they are primarily wavelet based and ad hoc.[bibtex-entry]

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. [bibtex-entry]



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.[bibtex-entry]



3. D. L. Turcotte. Fractals and Chaos in Geology and Geophysics. Cambridge University Press, 1997. [bibtex-entry]

1. J. M. Bernardo and A. F. M. Smith. Bayesian Theory. Wiley, 1996. [bibtex-entry]



2. M. H. Hayes. Statistical Digital Signal Processing and Modeling. Wiley, 1996. [bibtex-entry]

1. P. W. Fieguth. Application of Multiscale Estimation to Large Scale Multidimensional Imaging and Remote Sensing Problems. Ph.D. Dissertation, Massachusetts Institute of Technology, 1995. Note: NOTE: Fieguth's dissertation.[bibtex-entry]

1. M. S. Bazaraa, H. D. Sherali, and C. M. Shetty. Nonlinear Programming: Theory and Algorithms. Wiley, 1993. Note: NOTE: class notes for the optimization class he teaches in the ECE Dept. at UT.[bibtex-entry]



2. M. S. Grewal and A. P. Andrews. Kalman Filtering: Theory and Practice. Prentice-Hall, 1993. Note: NOTE: Has stuff on Ricatti equation solution for scalar, time-invarient case. Get nice close-form expressions.[bibtex-entry]



3. P. C. Wankat and F. S. Oreovicz. Teaching Engineering. McGraw-Hill, New York, 1993. Note: Note: http://www.asee.org/publications/teaching.cfm. [bibtex-entry]

1. K. C. Chou. A Stochastic Modeling Approach to Multiscale Signal Processing. Ph.D. Dissertation, Massachusetts Institute of Technology, 1991. Note: NOTE: Proves estimate uncertainty remians bounded on p. 132.[bibtex-entry]



2. J. Curlander and R. McDonough. Synthetic Aperture Radar: Systems and Signal Processing. Wiley, 1991. Note: NOTE: This is my reference for ground-range projecting. I already knew how to do it, but I provide it as a reference in some of my papers so the reader can find out about it.[bibtex-entry]

1. M. G. Anderson and T. P. Burt. Process Studies in Hillslope Hydrology. Wiley, 1990. [bibtex-entry]



2. G. Casella and R. L. Berger. Statistical Inference. Duxbury Press, 1990. Note: NOTE: This has good basic random variable theory, e.g. if you average two independent RVs, the variance will be the the variance of the first *1/4 pluse the variance of the second * 1/4.[bibtex-entry]



3. K. Fukunaga. Introduction to Statistical Pattern Recognition. Academic Press, New York, 1990. [bibtex-entry]

1. A. V. Oppenheim and R. W. Schafer. Discrete-Time Signal Processing. Prentice Hall, 1989. Note: NOTE: The best overall book on classic 1-D signal processing.[bibtex-entry]

1. J. P. Fitch. Synthetic Aperture Radar. Springer-Verlag, 1988. Note: NOTE: Just another basic SAR book.[bibtex-entry]



2. K. Furuta, A. Sano, and D. Atherton. State Variable Methods in Automatic Control. Wiley, 1988. Note: NOTE: This book has many good block diagrams of Kalman filtering.[bibtex-entry]

1. C. Elachi. Introduction to the Physics and Techniques of Remote Sensing. Wiley, 1987. [bibtex-entry]

1. F. T. Ulaby, R. K. Moore, and A. K. Fung. Microwave Remote Sensing: Active and Passive, volume 2. Artech House, 1986. Note: NOTE: This is the volume that present basic SAR processing.[bibtex-entry]



2. F. T. Ulaby, R. K. Moore, and A. K. Fung. Microwave Remote Sensing: Active and Passive, volume 3. Artech House, 1986. [bibtex-entry]

1. David Knightton. Fluvial Forms and Processes. Arnold, 1984. Note: NOTE: Describes anatomy of meandering channels (like the Finke River).[bibtex-entry]

1. D. F. Ritter. Process Geomorphology. WCB, 1978. [bibtex-entry]

1. A. Gelb. Applied Optimal Estimation. MIT Press, 1974. [bibtex-entry]



2. J. T. Tou and R. C. Gonzalez. Pattern Recognition Principles. Addison-Wesley, 1974. [bibtex-entry]

1. R. O. Duda and P. E. Hart. Pattern Classification and Scene Analysis. Wiley, 1973. Note: NOTE: This has a good basic description of Bayes rule and Bayes decision theory.[bibtex-entry]

1. T. S. Ferguson. Mathematical Statistics: A Decision Theoretic Approach. Academic Press, 1967. [bibtex-entry]

1. N. Wiener. Extrapolation, Interpolation and Smoothing of Stationary Time Series, with Engineering Applications. Technology Press and Wiley, New York, 1949. Note: Note: Originally issued in Feb 1942 as a classified Nat. Defense Res. Council Rep.[bibtex-entry]

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