G. Petropoulos – Sensitivity Analysis in Earth Observation Modelling

Автор: G. Petropoulos
Название книги: Sensitivity Analysis in Earth Observation Modelling
Формат: PDF
Жанр: Климатология
Страницы: 424
Качество: Изначально компьютерное, E-book

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.
Table of Contents
Overview of Sensitivity Analysis Methods in Earth Observation Modeling
Model Input Data Uncertainty and Its Potential Impact on Soil Properties
Local Sensitivity Analysis of the LandSoil Erosion Model Applied to a Virtual Catchment
Sensitivity of Vegetation Phenological Parameters: From Satellite Sensors to Spatial Resolution and Temporal Compositing Period
Radar Rainfall Sensitivity Analysis Using Multivariate Distributed Ensemble Generator
Field-Scale Sensitivity of Vegetation Discrimination to Hyperspectral Reflectance and Coupled Statistics
A Multimethod Global Sensitivity Analysis Approach 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
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
Global Sensitivity Analysis for Uncertain Parameters, Models, and Scenarios
Sensitivity and Uncertainty Analyses for Stochastic Flood Hazard Simulation
Sensitivity of Wells in a Large Groundwater Monitoring Network and Its Evaluation Using GRACE Satellite Derived Information
Making the Most of the Earth Observation Data Using Effective Sampling Techniques
Ensemble-Based Multivariate Sensitivity Analysis of Satellite Rainfall Estimates Using Copula Model
Efficient Tools for Global Sensitivity Analysis Based on High-Dimensional Model Representation
A Global Sensitivity Analysis Toolbox to Quantify Drivers of Vegetation Radiative Transfer Models
GEM-SA: The Gaussian Emulation Machine for Sensitivity Analysis
An Introduction to the SAFE Matlab Toolbox With Practical Examples and Guidelines
Sensitivity in Ecological Modeling: From Local to Regional Scales
Challenges and Future Outlook of Sensitivity Analysis