04651cam a2200445Ma 4500 ocn960719028 OCoLC 20190328114817.0 m o d cr |n||||||||| 161014s2016 ne o 000 0 eng d IDEBK eng pn IDEBK EBLCP OPELS COO UIU YDX OCLCF IDB OCLCQ OTZ CNCGM UPM OCLCQ U3W D6H OCLCQ MERER OCLCQ 960494981 965414718 974034275 974331339 1021272506 9780128030318 (electronic bk.) 0128030313 (electronic bk.) 9780128030110 0128030119 (OCoLC)960719028 (OCoLC)960494981 (OCoLC)965414718 (OCoLC)974034275 (OCoLC)974331339 (OCoLC)1021272506 QE33.2.R4 550.285 23 Sensitivity analysis in earth observation modelling / [electronic resource] edited by George F. Petropoulous, Prashant K. Srivastava. Amsterdam, Netherlands : Elsevier, 2016. 1 online resource (448) text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. Front Cover; Sensitivity Analysis in Earth Observation Modelling; Sensitivity Analysis in Earth Observation Modelling; Copyright; Dedication; Contents; List of Contributors; Preface; ABOUT THE COVER; 1 -- INTRODUCTION TO SA IN EARTH OBSERVATION (EO); 1 -- OVERVIEW OF SENSITIVITY ANALYSIS METHODS IN EARTH OBSERVATION MODELING; 1. INTRODUCTION; 1.1 DEFINING THE MODEL OUTPUTS AND INPUTS FOR SENSITIVITY ANALYSIS; 1.1.1 Defining Factor (or Parametric) Uncertainty; 2. LOCAL SENSITIVITY ANALYSIS; 2.1 CORRELATION ANALYSIS; 2.2 REGRESSION ANALYSIS; 3. GLOBAL SENSITIVITY ANALYSIS. 3.1 ONE-AT-A-TIME SENSITIVITY ANALYSIS METHODS3.2 THE MORRIS METHOD FOR FACTOR SCREENING; 3.3 VARIANCE-BASED SENSITIVITY ANALYSIS; 3.4 SAMPLING METHODS FOR GLOBAL SENSITIVITY ANALYSIS; 3.4.1 Random Sampling; 3.4.2 Stratified Sampling and the Latin Hypercube; 3.4.3 Sampling for Sensitivity Indices; 3.5 SURROGATE MODELS FOR GLOBAL SENSITIVITY ANALYSIS; 3.5.1 Generalized Linear Modeling; 3.5.2 Neural Networks; 3.5.3 Direct Sensitivity Analysis of Surrogate Models; 3.6 POLYNOMIAL CHAOS; 3.7 GAUSSIAN PROCESS AND BAYES LINEAR EMULATION; 4. GRAPHICAL METHODS FOR GLOBAL SENSITIVITY ANALYSIS. 4.1 SCATTER PLOTS4.2 PLOTTING THE RESPONSE SURFACE; 4.3 PLOTTING THE SENSITIVITY INDICES; 5. CONCLUSIONS; REFERENCES; 2 -- MODEL INPUT DATA UNCERTAINTY AND ITS POTENTIAL IMPACT ON SOIL PROPERTIES; 1. INTRODUCTION; 2. A WORLD OF MODELS -- HOW CAN THEY BE CLASSIFIED?; 3. CAN WE TRUST MODELS? -- MODEL ACCURACY AND THEIR SENSITIVITY TO INPUT DATA UNCERTAINTY; 4. SELECTING THE MOST APPROPRIATE MODEL; 5. WHY AND HOW TO ACCOUNT FOR MODELING UNCERTAINTIES CAUSED BY DIFFERENT INPUT DATA SOURCES; 6. ASSESSING SENSITIVITY OF ENVIRONMENTAL MODELS. 7. HOW SOIL TEXTURE MEASURED WITH VISIBLE-NEAR-INFRARED SPECTROSCOPY AFFECTS HYDROLOGICAL MODELING: A CASE STUDY7.1 STUDY SITES AND INSTRUMENTS; 7.2 SOIL SAMPLES; 7.3 CHEMOMETRICS; 7.4 IMPACT OF CHEMOMETRIC METHOD ON SOIL PREDICTION; 7.5 DIFFERENT INSTRUMENTS, DIFFERENT SOIL PREDICTIONS? WHAT WAS FINALLY THE BEST SOIL PREDICTION ACCURACY?; 7.6 WHAT DOES THIS FINALLY MEAN FOR OUR ENVIRONMENTAL MODELING?; 8. WHAT DID WE LEARN?; REFERENCES; 2 -- LOCAL SA METHODS: CASE STUDIES; 3 -- LOCAL SENSITIVITY ANALYSIS OF THE LANDSOIL EROSION MODEL APPLIED TO A VIRTUAL CATCHMENT; 1. INTRODUCTION. 2. MATERIALS AND METHODS2.1 MODEL DESCRIPTION; 2.2 SENSITIVITY ANALYSIS; 2.2.1 Parameters; 2.2.2 Virtual Catchment; 2.2.3 Sensitivity Calculation; 3. RESULTS AND DISCUSSION; 3.1 LINEAR HILLSLOPE; 3.1.1 Aggregated Parameters; 3.2 COMPLEX HILLSLOPES; 4. CONCLUDING REMARKS; Acknowledgments; REFERENCES; 4 -- SENSITIVITY OF VEGETATION PHENOLOGICAL PARAMETERS: FROM SATELLITE SENSORS TO SPATIAL RESOLUTION AND TEMPORAL CO ... ; 1. INTRODUCTION; 2. MONITORING VEGETATION PHENOLOGY; 3. SENSITIVITY ANALYSIS; 4. SENSITIVITY OF REMOTELY SENSED PHENOLOGICAL PARAMETERS; 4.1 SATELLITE SENSOR. Earth sciences Remote sensing. Earth sciences Remote sensing. fast (OCoLC)fst00900758 Electronic books. Petropoulos, George P. Srivastava, Prashant K. Print version: Sensitivity analysis in Earth observation modelling. Amsterdam, Netherlands : Elsevier, 2016 0128030119 9780128030110 (OCoLC)949749831 ScienceDirect http://www.sciencedirect.com/science/book/9780128030110 247450 247450