國立高雄大學圖資館 |

Language: English

Back

Sensitivity analysis in Earth observ...

Petropoulos, George P.

Sensitivity analysis in Earth observation modelling

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sensitivity analysis in Earth observation modellingedited by George F. Petropoulous, Prashant K. Srivastava.
other author:	Petropoulos, George P.
Published:	Amsterdam, Netherlands :Elsevier,2017.
Description:	1 online resource (448 p.).
Subject:	Earth sciencesRemote sensing.
Online resource:	https://www.sciencedirect.com/science/book/9780128030110
ISBN:	9780128030318 (electronic bk.)

Sensitivity analysis in Earth observation modelling
Sensitivity analysis in Earth observation modelling[electronic resource] /edited by George F. Petropoulous, Prashant K. Srivastava. - Amsterdam, Netherlands :Elsevier,2017. - 1 online resource (448 p.).

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.

ISBN: 9780128030318 (electronic bk.)Subjects--Topical Terms:

225093
Earth sciences
--Remote sensing.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QE33.2.R4

Dewey Class. No.: 550.285

Sensitivity analysis in Earth observation modelling
LDR:03888cmm a2200301 a 4500 001 582434
006 o d
007 cnu|unuuu||
008 210121s2017 ne o 000 0 eng d
020 $a 9780128030318 (electronic bk.)
020 $a 0128030313 (electronic bk.)
020 $a 9780128030110
020 $a 0128030119
035 $a (OCoLC)960719028
035 $a EL2020354
040 $a IDEBK $b eng $c IDEBK $d EBLCP $d OPELS $d COO $d UIU $d YDX $d OCLCF $d IDB $d OCLCQ $d OTZ $d CNCGM $d UPM $d OCLCQ $d U3W $d D6H $d OCLCQ $d MERER $d OCLCQ $d UKMGB $d OCLCQ
041 0 $a eng
050 4 $a QE33.2.R4
082 0 4 $a 550.285 $2 23
245 0 0 $a Sensitivity analysis in Earth observation modelling $h [electronic resource] / $c edited by George F. Petropoulous, Prashant K. Srivastava.
260 $a Amsterdam, Netherlands : $b Elsevier, $c 2017.
300 $a 1 online resource (448 p.).
505 0 $a 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.
505 8 $a 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.
505 8 $a 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.
505 8 $a 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.
505 8 $a 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.
588 0 $a Print version record.
650 0 $a Earth sciences $x Remote sensing. $3 225093
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Petropoulos, George P. $3 776912
700 1 $a Srivastava, Prashant K. $3 679030
856 4 0 $u https://www.sciencedirect.com/science/book/9780128030110