Sensitivity Analysis in Earth Observation Modelling

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. Outlines challenges and future prospects of sensitivity analysis implementation in earth observation modelingProvides readers with a roadmap for directing future effortsIncludes case studies with applications from different regions around the globe, helping readers to explore strengths and weaknesses of the different methods in earth observation modelingPresents a step-by-step guide, providing the principles of each method followed by the application of variants, making the reference easy to use and follow INDICE: Section I: Introduction to Sensitivity Analysis in Earth Observation What is UA/SA and why is it needed in EO modelling? An overview of sensitivity analysis in environmental science Section II : Local Sensitivity Analysis Methods: Case Studies LSA of the landsoil model USLE SA: Results and validation in China Sampling Methods in Sensitivity Analysis A sensitivity analysis of the estimation of phenological parameters from space sensors Section III: Global-based Sensitivity Analysis Methods: Case Studies Variance-based and density-based Global Sensitivity Analysis to support the calibration and evaluation of land surface models Global sensitivity analysis for supporting history matching of geomechanical reservoir models using satellite InSAR data: a case study at the CO2 storage site of In Salah, Algeria Meta modelling based methods Remote sensing data as input for environmental modelling and associated uncertainties Section IV: Other Sensitivity Analysis Methods: Case Studies Screening Methods Hybrid Methods Sampling and Graphical-Based Methods ANNs: a tool for spectral sensitivity analysis to optimise inversion algorithms for satellite-based EO Radar-Rainfall Sensitivity Analysis Section V: Software Tools in Sensitivity Analysis in Earth Observation The GUI-HDMR software tool  ARTMO's GSA toolbox GEM-SA softweare tool demonstration SIMLAB software presentation & demonstration in EO-related application Section VI: Challenges and Future Outlook in Sensitivity Analysis Use in Earth Observation Challenges & Future Outlook

• ISBN: 978-0-12-803011-0
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 350
• Fecha Publicación: 01/09/2016
• Nº Volúmenes: 1
• Idioma: Inglés