Sensitivity analysis in earth observation modelling. (2016)

• Record Type: Book
• Further Information: Note: Edited by George Petropoulos, Prashant K. Srivastava.
• Editors: Petropoulos, George P; Srivastava, Prashant K
• Contents: 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
• Publisher Details: Amsterdam : Elsevier
• Publication Date: 2016
• Extent: 1 online resource
• Subjects: 550.28; Earth sciences -- Remote sensing
• Languages: English
• ISBNs: 9780128030318
• Related ISBNs: 9780128030110
• Notes: Note: Description based on CIP data; item not viewed.
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