| Description |
1 online resource (448) |
|
text txt rdacontent |
|
computer c rdamedia |
|
online resource cr rdacarrier |
| Note |
Print version record. |
| Contents |
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. |
| Subject |
Earth sciences -- Remote sensing.
|
|
Sciences de la terre -- Télédétection.
|
|
Earth sciences -- Remote sensing
|
| Added Author |
Petropoulos, George P.
|
|
Srivastava, Prashant K.
|
| Other Form: |
Print version: Sensitivity analysis in Earth observation modelling. Amsterdam, Netherlands : Elsevier, 2016 0128030119 9780128030110 (OCoLC)949749831 |
| ISBN |
9780128030318 (electronic bk.) |
|
0128030313 (electronic bk.) |
|
9780128030110 |
|
0128030119 |
| Standard No. |
AU@ 000061157311 |
|
AU@ 000072989252 |
|
DEBSZ 482474629 |
|
GBVCP 879402059 |
|
UKMGB 018075601 |
|
