Sensitivity Analysis in Earth Observation Modelling

Sensitivity Analysis in Earth Observation Modelling

by Prashant K. Srivastava (Series Editor), George Petropoulos (Editor)

Synopsis

Sensitivity Analysis in Earth Observation Modeling highlights the state-of-the-art in ongoing research investigations and new applications of sensitivity analysis in earth observation modeling. In this framework, original works concerned with the development or exploitation of diverse methods applied to different types of earth observation data or earth observation-based modeling approaches are included. An overview of sensitivity analysis methods and principles is provided first, followed by examples of applications and case studies of different sensitivity/uncertainty analysis implementation methods, covering the full spectrum of sensitivity analysis techniques, including operational products. Finally, the book outlines challenges and future prospects for implementation in earth observation modeling. Information provided in this book is of practical value to readers looking to understand the principles of sensitivity analysis in earth observation modeling, the level of scientific maturity in the field, and where the main limitations or challenges are in terms of improving our ability to implement such approaches in a wide range of applications. Readers will also be informed on the implementation of sensitivity/uncertainty analysis on operational products available at present, on global and continental scales. All of this information is vital in the selection process of the most appropriate sensitivity analysis method to implement.

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More Information

Format: Illustrated
Pages: 446
Edition: Illustrated
Publisher: Elsevier
Published: 01 Sep 2016

ISBN 10: 0128030119
ISBN 13: 9780128030110
Book Overview: A holistic overview of advanced sensitivity analysis methods in earth observation modeling, this sophisticated book features a full spectrum of case studies of different sensitivity/uncertainty analysis implementation approaches and techniques, including operational products

Author Bio
Dr. Petropoulos' research work focuses on exploiting Earth Observation (EO) data alone or synergistically with land surface process models in deriving regional estimates of key state variables of the Earth's energy and water budget, including energy fluxes and soil surface moisture. He is also conducting research on the use of remote sensing technology in obtaining information about the land cover and if changes occurred from either anthropogenic activities (e.g. urbanization, mining activity) or natural hazards (mainly floods and fires). In this framework, he is researching and optimizing new image processing techniques to recently launched EO satellites, with a large part of his work focusing on the development and enhancement of EO-based operational products. As part of this research he is also conducting all-inclusive benchmarking studies to EO products or land surface models, including advanced sensitivity analysis techniques. Dr. Srivastava is working in Hydrological Sciences, NASA Goddard Space Flight Center on SMAP satellite soil moisture retrieval algorithm development, instrumentation and simulation for various applications, and affiliated with IESD, Banaras Hindu University as a faculty. He received his PhD degree from Department of Civil Engineering, University of Bristol, Bristol, UK. He has published 100+ papers in peer-reviewed journals, published 4 books with reputed publishing houses and authored several book chapters and conference papers.