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Sensitivity Analysis in Earth Observation Modelling
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
George P. Petropoulos (Edited by), Prashant K. Srivastava (Edited by)
9780128030110
Paperback, published 17 October 2016
448 pages
23.4 x 19 x 2.8 cm, 0.91 kg
Approx.424 pages
Section I: Introduction to SA in Earth Observation (EO) 1. Overview of Sensitivity Analysis Methods in Earth Observation Modeling L. Lee, P.K. Srivastava, G.P. Petropoulos 2. Model Input Data Uncertainty and its Potential Impact on Soil Properties T. Mannschatz, P. Dietrich Section II : Local SA Methods: Case Studies 3. Local Sensitivity Analysis of the LandSoil Erosion Model Applied to a Virtual Catchment R. Caimpalini, S. Follain, B. Cheviron, Y. Le Bissonnais, A. Couturier 4. Sensitivity of Vegetation Phenological Parameters from Satellite Sensors to Spatial Resolution and Temporal Compositing Period G.L. Mountford, P.M. Atkinson, J. Dash, T. Lankester, S. Hubbard 5. Radar Rainfall Sensitivity Analysis Using Multivariate Distributed Ensemble Generator Q. Dai, D. Han, P.K. Srivastava 6. Field-Scale Sensitivity of Vegetation Discrimination to Hyperspectral Reflectance and Coupled Statistics K. Manevski, M. Jabloun, M. Gupta, C. Kalaitzidis Section III: Global (or Variance)-Based SA Methods: Case Studies 7. A Multimethod Global Sensitivity Analysis Approach to Support the Calibration and Evaluation of Land Surface Models F. Pianosi, J. Iwema, R. Rosolem, T. Wagener 8. 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 J. Rohmer, A. Loschetter, D. Raucoules 9. Artificial Neural Networks for Spectral Sensitivity Analysis to Optimize Inversion Algorithms for Satellite-Based Earth Observation: Sulfate Aerosol Observations with High-Resolution Thermal Infrared Sounders P. Sellitto 10. Global Sensitivity Analysis for Uncertain Parameters, Models, and Scenarios M. Ye, M.C. Hill Section IV: Other SA Methods: Case Studies 11. Sensitivity and Uncertainty Analyses for Stochastic Flood Hazard Simulation Z. Micovic, M.G. Schaefer, B.L. Barker 12. Sensitivity of Wells in a Large Groundwater Monitoring Newtork and Its Evaluation Using GRACE Satellite Derived Information V. Uddameri, A. Karim, E.A. Hernandez, P.K. Srivastava 13. Making the Most of the Earth Observation Data Using Effective Sampling Techniques J. Indu, D. Nagesh Kumar 14. Ensemble-Based Multivariate Sensitivity Analysis of Satellite Rainfall Estimates Using Copula Model S. Moazami, S. Golian Section V: Software Tools in SA for EO 15. Efficient Tools for Global Sensitivity Analysis Based on High-Dimensional Model Representation T. Ziehn, A.S. Tomlin 16. A Global Sensitivity Analysis Toolbox to Quantify Drivers of Vegetation Radiative Transfer Models J. Verrelst, J.P. Rivera 17. GEM-SA: The Gaussian Emulation Machine for Sensitivity Analysis M.C. Kennedy, G.P. Petropoulos 18. An Introduction to The SAFE Matlab Toolbox with Practical Examples and Guidelines F. Sarrazin, F. Pianosi, T. Wagener Section VI: Challenges and Future Outlook 19. Sensitivity in Ecological Modeling: From Local to Regional Scales X. Song, B.A. Bryan, L. Gao, G. Zhao, M. Dong 20. Challenges and Future Outlook of Sensitivity Analysis H. Gupta, S. Razavi
Subject Areas: Geology & the lithosphere [RBG], Geophysics [PHVG]
