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6 of 6 people found the following review helpful:
4.0 out of 5 stars A good recipe book on a topic that is rarely written about, July 4, 2008
At first glance the book seems a bit skinny for the pricetag, but the book contains well-written recipes for specialized tasks often needed in remote sensing. I found the book easy to comprehend, well-illustrated, and the code well commented. Like the other reviewer, I found the recipes easily translated to other languages. The following is the table of contents, shown here because it is vital for knowing whether or not this book is for you and because the table of contents can be hard to find:

1. Data Analysis in Earth Sciences
2. Introduction to Matlab
3. Univariate Statistics
4. Bivariate Statistics
5. Time-Series Analysis
6. Signal Processing
7. Spatial Data
8. Image Processing
9. Multivariate Statistics
10. Statistics on Directional Data

This book is a little light on image processing, if that is your interest. There's already a good book on Matlab and imaging - Digital Image Processing Using MATLAB(R). None of the chapters are so much about the science - signal processing, statistics, etc. - as they are about how to accomplish tasks in Matlab. You'll need other books if you are unfamiliar with the terms. You'll also need a good basic book on introductory Matlab, since one chapter is not enough to get you going. I suggest either Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers (The Oxford Series in Electrical and Computer Engineering) or Mastering MATLAB 7.

If you already know the science and you know the basics of Matlab, and you just wonder "How do you do this in Matlab?" this book is for you.
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MATLAB® Recipes for Earth Sciences
MATLAB® Recipes for Earth Sciences by Martin H. Trauth (Hardcover - July 20, 2007)
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