x
Preface
8. How can the extent and function of relevant satellite remote sensing images
be incorporated and concatenated as an integral part of drought and forest
fire monitoring systems?
On this foundation, many new techniques and methods developed for spaceborne,
airborne, and ground-based measurements, mathematical modeling, and remote
sensing image processing tools have been collectively presented across five distinctive topical areas in this book. The book will be a useful source of reference for
undergraduate and graduate students and working professionals who are involved in
the study of global change, hydrologic science, meteorology, climatology, biology,
ecology, and agricultural and forest sciences. It will also be beneficial to scientists in
related research fields, as well as professors, policy makers, and the general public.
As the editor of this book, I wish to express my great appreciation for the contributions of many individuals who helped write, coedit, proofread, and review these
book chapters. I am indebted to the 64 authors and coauthors within the scientific
community who have shared their expertise and contributed much time and effort in
the preparation of the book chapters. I also wish to give credit to the numerous funding agencies promoting the scientific research in hydrologic remote sensing, leading
to the generation of invaluable findings presented in this book. I acknowledge the
management and editorial assistance of Irma Shagla and Kari Budyk. The special
efforts of many individuals including Dr. Hong Yang (coeditor), Dr. Chung-Lin Shie,
Dr. Pat J.-F. Yeh, and Huei-Wen Liu are appreciated.
Dr. Ni-Bin Chang
Director, Stormwater Management Academy
University of Central Florida
Orlando, Florida
MATLAB ® is a registered trademark of The MathWorks, Inc. For product information, please contact:
The MathWorks, Inc.
3 Apple Hill Drive
Natick, MA 01760-2098 USA
Tel: 508 647 7000
Fax: 508-647-7001
E-mail: info@mathworks.com
Web: www.mathworks.com
Preface
8. How can the extent and function of relevant satellite remote sensing images
be incorporated and concatenated as an integral part of drought and forest
fire monitoring systems?
On this foundation, many new techniques and methods developed for spaceborne,
airborne, and ground-based measurements, mathematical modeling, and remote
sensing image processing tools have been collectively presented across five distinctive topical areas in this book. The book will be a useful source of reference for
undergraduate and graduate students and working professionals who are involved in
the study of global change, hydrologic science, meteorology, climatology, biology,
ecology, and agricultural and forest sciences. It will also be beneficial to scientists in
related research fields, as well as professors, policy makers, and the general public.
As the editor of this book, I wish to express my great appreciation for the contributions of many individuals who helped write, coedit, proofread, and review these
book chapters. I am indebted to the 64 authors and coauthors within the scientific
community who have shared their expertise and contributed much time and effort in
the preparation of the book chapters. I also wish to give credit to the numerous funding agencies promoting the scientific research in hydrologic remote sensing, leading
to the generation of invaluable findings presented in this book. I acknowledge the
management and editorial assistance of Irma Shagla and Kari Budyk. The special
efforts of many individuals including Dr. Hong Yang (coeditor), Dr. Chung-Lin Shie,
Dr. Pat J.-F. Yeh, and Huei-Wen Liu are appreciated.
Dr. Ni-Bin Chang
Director, Stormwater Management Academy
University of Central Florida
Orlando, Florida
MATLAB ® is a registered trademark of The MathWorks, Inc. For product information, please contact:
The MathWorks, Inc.
3 Apple Hill Drive
Natick, MA 01760-2098 USA
Tel: 508 647 7000
Fax: 508-647-7001
E-mail: info@mathworks.com
Web: www.mathworks.com