Sensitivity Analysis in Earth Observation Modelling
Editat de George P. Petropoulos, Prashant K. Srivastavaen Limba Engleză Paperback – 17 oct 2016
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 modeling
- Provides readers with a roadmap for directing future efforts
- Includes case studies with applications from different regions around the globe, helping readers to explore strengths and weaknesses of the different methods in earth observation modeling
- Presents 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
Preț: 519.20 lei
Preț vechi: 718.94 lei
-28% Nou
Puncte Express: 779
Preț estimativ în valută:
99.36€ • 103.10$ • 83.05£
99.36€ • 103.10$ • 83.05£
Carte tipărită la comandă
Livrare economică 10-24 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780128030110
ISBN-10: 0128030119
Pagini: 448
Dimensiuni: 191 x 235 x 30 mm
Greutate: 0.93 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128030119
Pagini: 448
Dimensiuni: 191 x 235 x 30 mm
Greutate: 0.93 kg
Editura: ELSEVIER SCIENCE
Cuprins
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
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