Book and Book Chapters

Automating the Analysis of Spatial Grids (Springer 2012)

The aim of (1) is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution satellite imagery or from any data is that can be placed on a spatial grid.

The book is based off a course that I taught in Spring 2011 at the University of Oklahoma to a diverse group of graduate students from Computer Science, Meteorology and Environmental Engineering. It should be suitable as a textbook for upper-level undergraduate students and graduate students.

Even though the material developed out of a graduate course, this book is targeted primarily at practitioners i.e. people who need to solve a problem and are looking for ways to address it. Hence, the book forgoes detailed descriptions of theory and mathematical development in favor of more practical issues of implementation.

A software implementation in the Java programming language is included for nearly all the techniques discussed in this book.

[table-of-contents]

[Order on Amazon]

Automated Processing of Doppler Radar Data for Severe Weather Forecasting

In (2), a chapter of XXX, we discuss the development of automated algorithms to process Doppler radar data for the purpose of forecasting severe weather in the short term and end with recommendations for any national weather service that is considering the creation of such severe weather warnings.

[pdf]

Environmental Science Models and Artificial Intelligence

In (3), the lead chapter of ``Environmental Applications of Artificial Intelligence'', we discuss the growing importance of data-driven (as opposed to dynamics-based) methods in the creation of weather forecasts and in other environmental science applications.

Automated Analysis of Spatial Grids

 (4), a chapter of ``Environmental Applications of Artificial Intelligence'', covers image processing techniques which play a key role in artificial intelligence applications operating on spatial data.