Jin, Shuanggen <br/><br/>
GNSS remote sensing : theory, methods and applications / 
Shuanggen Jin, Estel Cardellach, Feiqin Xie 
 - New York:  Speinger,  2014. 
 - xvi, 276p.; 
 - Remote sensing and digital image processing ;  v. 19 .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Part I GNSS Theory and Delays<br/>1  Introduction to GNSS<br/>1.1 GNSS History<br/>1.1.1 GPS<br/>1.1.2 GLONASS <br/>1.1.3 GALILEO.<br/>1.1.4 Beidou/COMPASS<br/>1.1.5 Other Regional Systems<br/>1.2 GNSS Systems and Signals<br/>1.2.1 GNSS Segments<br/>1.2.2 GNSS Signals<br/>1.3 GNSS Theory and Errors<br/>1.3.1 GNSS Principle. <br/>1.3.2 GNSS Error Sources.<br/>1.4 GNSS Observations and Applications<br/>1.4.1 GNSS Observation Network .<br/>1.4.2 GNSS Applications<br/>References<br/>2  GNSS Atmospheric and Multipath Delays<br/>2.1 Atmospheric Refractivity<br/>2.2 GNSS Atmospheric Delays<br/>2.2.1 Neutral Atmospheric Delays.<br/>2.2.2 Empirical Tropospheric Models<br/>2.3    GNSS Ionospheric Delay<br/>2.3.1 The Ionosphere<br/>2.3.2 GNSS Ionospheric Delay<br/>2.3.3 Empirical Ionospheric Models<br/>2.4 GNSS Multipath Delay<br/>2.4.1 Multipath Effects <br/>2.4.2 Multipath Variations<br/>2.4.3 Surface Reflection Characteristics<br/>Part II GNSS Atmospheric Sensing and Applications<br/>3  Ground GNSS Atmospheric Sensing<br/>3.1 Introduction<br/>3.2 Theory and Methods<br/>3.2.1 Estimates of GNSS ZTD<br/>3.2.2 Mapping Functions<br/>3.3 ZTD Estimate and Variations<br/>3.3.1 ZTD Estimates from IGS Observations<br/>3.3.2 Multi-Scale ZTD Variations<br/>3.4 GNSS Precipitable Water Vapor<br/>3.4.1 GNSS PWV Estimate<br/>3.4.2 Comparison with Independent Observations<br/>3.4.3 Mean PWV Characteristics <br/>3.4.4 Seasonal PWV Variations<br/>3.4.5 Diurnal PWV Variations .<br/>3.5 3-D Water Vapor Topography<br/>3.6 Summary<br/>References<br/>4  Ground GNSS Ionosphere Sounding<br/>4.1 History<br/>4.2 GNSS Ionospheric Sounding<br/>4.2.1 DCB Determination <br/>4.2.2 TEC Estimate<br/>4.3 2-D lonopspheric Mapping <br/>4.3.1 Method of 2-D Ionospheric Mapping<br/>4.3.2 Applications of 2-D GNSS TEC<br/>4.4. 3-D GNSS Ionospheric Mapping. <br/>4.4.1 3-D Ionospheric Topography<br/>4.4.2 Validation of GNSS Ionospheric Tomography . <br/>4.4.3 Assessment of IRI-2001 Using GNSS Tomography<br/>4.4.4 Ionospheric Slab Thickness <br/>4.4.5 3-D ionospheric Behaviours to Storms References<br/>5  Theory of GNSS Radio Occultation<br/>5.1 Introduction<br/>5.1.1 Radio Occultation in Planetary Sciences<br/>5.1.2 GNSS Radio Occultation in Earth Sciences<br/>5.2 Principle of GNSS Radio Occultalion.<br/>5.2.1 Atmospheric Refraction <br/>5.2.2 Geometric Optics Approximation<br/>5.2.3 Spherically Symmetric Atmosphere Assumption<br/>5.2.4 Bending Angle and Refractive Index <br/>5.3 GNSS Radio Occultation Processing<br/>5.3.1 Calibrating and Extracting GNSS RO Observables<br/>5.3.2 Bending Angle Retrieval <br/>5.3.3 Ionosphere Retrieval<br/>5.3.4 Neutral Atmosphere Retrieval<br/>Atmospheric Sensing Using GNSS RO <br/>6.1 GNSS RO Atmospheric Sounding<br/>6.1.1 Parameters Retrieval from GNSS RO<br/>6.1.2 Dry Atmosphere Retrieval (Density, Pressure and Temperature)<br/>6.1.3 Moist Atmosphere Retrieval<br/>6.1.4 1D-Var (Variational Method).<br/>6.2 Characteristics of GNSS RO Observations<br/>6.2.1 Spatial Resolution (Vertical and Horizontal Resolution)<br/>6.2.2 Accuracy and Precision Analysis<br/>6.2.3 Measurement Errors<br/>6.2.4 Calibration Errors<br/>6.2.5 Retrieval Errors<br/>6.2.6 Experimental Validation of RO Accuracy and Precision<br/>6.3 Dynamic Processes Studies with GNSS RO<br/>6.3.1 Tropopause and Stratospheric Waves<br/>6.3.2 Tropical Tidal Waves<br/>6.3.3 Weather Front<br/>6.3.4 Tropical Cyclones (TC)<br/>6.3.5 Atmospheric Boundary Layer (ABL)<br/>6.4 Weather Prediction Applications<br/>6.4.1 GNSS RO Data Assimilation<br/>6.4.2 Operational Assimilation of GNSS RO<br/>in NWP Models<br/>6.5 Climate Applications<br/>6.6 Future Application of Radio Occultation<br/>6.6.1 Future GNSS and GNSS RO Missions<br/>6.6.2 Airborne and Mountain-Top GNSS RO<br/>6.6.3 LEO-to-LEO Occultation<br/>Ionospheric Sounding Using GNSS-RO<br/>7.1 Introduction.<br/>7.2 Ionospheric Inversion<br/>7.2.1 Ionosphere Inversion Based on Doppler<br/>7.2.2 Ionosphere Inversion Based on TEC.<br/>7.2.3 Recursive Inversion of TEC<br/>7.2.4 Amplitude Inversion<br/>7.3 Error Analysis<br/>7.3.1 Measurement Errors<br/>7.3.2 Data Processing Errors .<br/>7.4 Ionospheric Products<br/>7.5 GNSS-RO Ionospheric Applications<br/>7.5.1 Establishing Ionospheric Mo<br/>7.5.2 Ionospheric Tomography<br/>7.5.3 Monitoring Ionospheric Anomalies.<br/>7.5.4 Ionospheric Scintillation<br/>Reference?<br/>Part III GNSS Reflectometry and Remote Sensing<br/>8  Theory of GNSS Reflectometry<br/>8.1 Introduction.<br/>8.2 Multi-static System: Geometry and Coverage<br/>8.3 Specular and Diffuse Scattering<br/>8.4 Delay and Doppler<br/>8.5 Reflectivity Levels and Polarization Issues<br/>8.6 Scattering Theories<br/>8.6.1 Kirchhoff or Tangent Plane Approximation (KA)<br/>8.6.2 Summary of Other Methods<br/>8.6.3 Received GNSS Scattered Fields<br/>8.6.4 The Bi-static Radar Equation for GNSS<br/>Modulated Signals.<br/>8.7 Noise and Coherence Issues<br/>8.8 Systematic Errors<br/>8.9 PARIS Interferometric Technique (PIT)<br/>8.10 Observables<br/>References<br/>Ocean Remote Sensing Using GNSS-R<br/>9.1 Altimetry.<br/>9.1.1 Group Delay Altimetry<br/>9.1.2 Atmospheric Corrections.<br/>9.1.3 GNSS-R Ocean Altimetric Performance<br/>9.2 Ocean Surface Roughness<br/>9.2.1 Surface Modelling<br/>9.2.2 Retrieval Approaches <br/>References<br/>10 Hydrology and Vegetation Remote Sensing.<br/>10.1 Introduction<br/>10.2 Hydrology GNSS-Reflectometry. 10.3 Hydrology Sensing from GNSS-R<br/>10.3.1 Waveform Correlation<br/>10.3.2 Interference Pattern Technique (IPX). 10.3.3 Hydrology Sensing from GNSS<br/>10.3.4 GNSS-R Scattering Properties<br/>10.3.5 GNSS-R Polarization<br/>10.4 GNSS-R Forest Biomass Monitoring 10.5 Summary<br/>References<br/>11 Cryospheric Sensing Using GNSS-R<br/>11.1 Dry Snow Monitoring <br/>11.1.1 Dry Snow Reflection Model: Multiple-Ray<br/>Single-Reflection<br/>11.1.2 Dry Snow Observable: Lag-Hologram<br/>11.2 Wet Snow Monitoring,<br/>11.2.1 Observations from Space-Home GNSS-R .<br/>11.2.2 Observations from Ground GNSS-R<br/>11.3 Sounding the Sea Ice Conditions<br/>References<br/>12 Summary and Future Chances<br/>12.1 Status of GNSS Remote Sensing<br/>12.1.1 Atmospheric Sensing<br/>12.1.2 Ocean Sensing<br/>12.1.3 Hydrology Sensing<br/>12.1.4 Cryosphere Mapping<br/>12.2 Future Developments and Chances<br/>12.2.1 More GNSS Networks and Constellations <br/>12.2.2 Advanced GNSS Receivers<br/>12.2.3 New Missions and Systems<br/>12.2.4 New and Emerging Applications<br/><br/> 
<br/><br/><label>ISBN: </label>9789400774827 (ebook) 9789400774810 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial satellites in navigation.<br/>Environmental monitoring--Geographic information systems.<br/>Global Positioning System.
<br/><br/><label>Dewey Class. No.: </label>910.285  / JIN/G