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Scaling Methods in Soil Physics - David E.  Radcliffe

Scaling Methods in Soil Physics

By: David E. Radcliffe (Editor), Yakov Pachepsky (Editor), H. Magdi Selim (Editor)

Hardcover | 26 March 2003 | Edition Number 1

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The scaling issue remains one of the largest problems in soil science and hydrology. This book is a unique compendium of ideas, conceptual approaches, techniques, and methodologies for scaling soil physical properties. Scaling Methods in Soil Physics covers many methods of scaling that will be useful in helping scientists across a range of soil-related disciplines. The first single-source reference in this developing field, the text will help readers develop a greater understanding of how to interpret remote sensing data, delineate management zones in agricultural fields, and estimate water yield and geochemical fluxes in watersheds, among other applications.

The authors present the state-of-the-art in addressing the fundamental scale-bridging problem and provide case studies crossing several levels of scale hierarchy. Scaling Methods in Soil Physics offers novel approaches based on geostatistics, artificial intelligence, wavelet transforms, fractal theory, soil-landscape relationships, computer simulations, and advances in theories of scale developed and tested to facilitate the use of soil physics data in a wide variety of soil/land/earth-related applications.

Industry Reviews

"This excellent book comprising 20 chapters deals with spatial scaling of soil processes and soil properties. ... All contributors are acknowledged experts. The content of the book is well balanced, with all chapters informative and highly relevant. The topics of each chapter are illustrated by interesting examples, with well-chosen informative figures. ... [T]his book is an excellent starting point for anyone who would like to contribute to the development of this topic. I therefore strongly recommend it, to researchers and doctoral students in soil physics and hydrology in particular, but anyone working with environmental models will benefit from reading it."
- European Journal of Soil Science, 55, 2004

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