{"product_id":"sensitivity-analysis-in-earth-observation-modelling-paperback-9780128030110","title":"Sensitivity Analysis in Earth Observation Modelling (Paperback) 9780128030110","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eSensitivity Analysis in Earth Observation Modelling\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cp\u003eA 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\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eGeorge P. Petropoulos (Edited by), Prashant K. Srivastava (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128030110\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 17 October 2016\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e448 pages\u003cbr\u003e23.4 x 19 x 2.8 cm, 0.91 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eApprox.424 pages\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eSection I: Introduction to SA in Earth Observation (EO)\u003c\/b\u003e 1. Overview of Sensitivity Analysis Methods in Earth Observation Modeling\u003c\/p\u003e \u003cp\u003e\u003ci\u003eL. Lee, P.K. Srivastava, G.P. Petropoulos\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2. Model Input Data Uncertainty and its Potential Impact on Soil Properties\u003c\/p\u003e \u003cp\u003e\u003ci\u003eT. Mannschatz, P. Dietrich\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection II : Local SA Methods: Case Studies\u003c\/b\u003e 3. Local Sensitivity Analysis of the LandSoil Erosion Model Applied to a Virtual Catchment\u003c\/p\u003e \u003cp\u003e\u003ci\u003eR. Caimpalini, S. Follain, B. Cheviron, Y. Le Bissonnais, A. Couturier\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4. Sensitivity of Vegetation Phenological Parameters from Satellite Sensors to Spatial Resolution and Temporal Compositing Period\u003c\/p\u003e \u003cp\u003e\u003ci\u003eG.L. Mountford, P.M. Atkinson, J. Dash, T. Lankester, S. Hubbard\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5. Radar Rainfall Sensitivity Analysis Using Multivariate Distributed Ensemble Generator\u003c\/p\u003e \u003cp\u003e\u003ci\u003eQ. Dai, D. Han, P.K. Srivastava\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6. Field-Scale Sensitivity of Vegetation Discrimination to Hyperspectral Reflectance and Coupled Statistics\u003c\/p\u003e \u003cp\u003e\u003ci\u003eK. Manevski, M. Jabloun, M. Gupta, C. Kalaitzidis\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection III: Global (or Variance)-Based SA Methods: Case Studies \u003c\/b\u003e7. A Multimethod Global Sensitivity Analysis Approach to Support the Calibration and Evaluation of Land Surface Models\u003c\/p\u003e \u003cp\u003e\u003ci\u003eF. Pianosi, J. Iwema, R. Rosolem, T. Wagener\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8. Global Sensitivity Analysis for Supporting History Matching of Geomechanical Reservoir Models Using Satellite InSAR Data: A Case Study at the CO\u003csub\u003e2 \u003c\/sub\u003eStorage Site of In Salah, Algeria\u003c\/p\u003e \u003cp\u003e\u003ci\u003eJ. Rohmer, A. Loschetter, D. Raucoules\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9. 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\u003c\/p\u003e \u003cp\u003e\u003ci\u003eP. Sellitto\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10. Global Sensitivity Analysis for Uncertain Parameters, Models, and Scenarios\u003c\/p\u003e \u003cp\u003e\u003ci\u003eM. Ye, M.C. Hill\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection IV: Other SA Methods: Case Studies \u003c\/b\u003e11. Sensitivity and Uncertainty Analyses for Stochastic Flood Hazard Simulation\u003c\/p\u003e \u003cp\u003e\u003ci\u003eZ. Micovic, M.G. Schaefer, B.L. Barker\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12. Sensitivity of Wells in a Large Groundwater Monitoring Newtork and Its Evaluation Using GRACE Satellite Derived Information\u003c\/p\u003e \u003cp\u003e\u003ci\u003eV. Uddameri, A. Karim, E.A. Hernandez, P.K. Srivastava\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13. Making the Most of the Earth Observation Data Using Effective Sampling Techniques\u003c\/p\u003e \u003cp\u003e\u003ci\u003eJ. Indu, D. Nagesh Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14. Ensemble-Based Multivariate Sensitivity Analysis of Satellite Rainfall Estimates Using Copula Model\u003c\/p\u003e \u003cp\u003e\u003ci\u003eS. Moazami, S. Golian\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection V: Software Tools in SA for EO \u003c\/b\u003e15. Efficient Tools for Global Sensitivity Analysis Based on High-Dimensional Model Representation\u003c\/p\u003e \u003cp\u003e\u003ci\u003eT. Ziehn, A.S. Tomlin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16. A Global Sensitivity Analysis Toolbox to Quantify Drivers of Vegetation Radiative Transfer Models\u003c\/p\u003e \u003cp\u003e\u003ci\u003eJ. Verrelst, J.P. Rivera\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17. GEM-SA: The Gaussian Emulation Machine for Sensitivity Analysis\u003c\/p\u003e \u003cp\u003e\u003ci\u003eM.C. Kennedy, G.P. Petropoulos\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18. An Introduction to The SAFE Matlab Toolbox with Practical Examples and Guidelines\u003c\/p\u003e \u003cp\u003e\u003ci\u003eF. Sarrazin, F. Pianosi, T. Wagener\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection VI: Challenges and Future Outlook \u003c\/b\u003e19. Sensitivity in Ecological Modeling: From Local to Regional Scales\u003c\/p\u003e \u003cp\u003e\u003ci\u003eX. Song, B.A. Bryan, L. Gao, G. Zhao, M. Dong\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20. Challenges and Future Outlook of Sensitivity Analysis\u003c\/p\u003e \u003cp\u003e\u003ci\u003eH. Gupta, S. Razavi\u003c\/i\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Geology \u0026amp; the lithosphere [\u003ca title=\"See our other books on Geology \u0026amp; the lithosphere\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Geology%20\u0026amp;%20the%20lithosphere%20%5BRBG%5D%22\"\u003eRBG\u003c\/a\u003e], Geophysics [\u003ca title=\"See our other books on Geophysics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Geophysics%20%5BPHVG%5D%22\"\u003ePHVG\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Freshly Printed Books","offers":[{"title":"Default Title","offer_id":46649598771480,"sku":"9780128030110","price":63.45,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128030110.jpg?v=1694102093","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/sensitivity-analysis-in-earth-observation-modelling-paperback-9780128030110","provider":"Freshly Printed Books","version":"1.0","type":"link"}