part Part I: Soil Salinity and Remote Sensing: The Object and the Tool -- chapter 1 Soil Salinity and Salinization Hazard -- chapter 2 Spectral Behavior of Salt Types -- chapter 3 Review of Remote Sensing-Based Methods to Assess Soil Salinity -- part Part II: Trends in Mapping Soil Salinity and Monitoring Salinization with Remote and Proximal Sensing -- chapter 4 Mapping Areas Susceptible to Soil Salinity in the Irrigation Region of Southern New South Wales, Australia -- chapter 5 Generation of Farm-Level Information on Salt-Affected Soils Using IKONOS-II Multispectral Data -- chapter 6 The Suitability of Airborne Hyperspectral Imagery for Mapping Surface Indicators of Salinity in Dryland Farming Areas -- chapter 7 Applications of Hyperspectral Imagery to Soil Salinity Mapping -- chapter 8 Characterization of Salt-Crust Build-Up and Soil Salinization in the United Arab Emirates by Means of Field and Remote Sensing Techniques -- chapter 9 Assessment of Salt-Affected Soils Using Multisensor Radar Data: A Case Study from Northeastern Patagonia (Argentina) -- chapter 10 Application of Landsat and ERS Imagery to the Study of Saline Wetlands in Semiarid Agricultural Areas of Northeast Spain -- chapter 11 Mapping Soil Salinity Using Ground-Based Electromagnetic Induction Technique* -- chapter 12 Combined Active and Passive Remote Sensing Methods for Assessing Soil Salinity: A Case Study from Jezre’el Valley, Northern Israel -- part Part III: Diversity of Approaches to Modeling Soil Salinity and Salinization -- chapter 13 Mapping Salinity Hazard: An Integrated Application of Remote Sensing and Modeling-Based Techniques -- chapter 14 Stochastic Approaches for Space–Time Modeling and Interpolation of Soil Salinity -- chapter 15 Mapping Soil Salinity from Sample Data and Remote Sensing in the Former Lake Texcoco, Central Mexico -- chapter 16 Model-Based Integrated Methods for Quantitative Estimation of Soil Salinity from Hyperspectral Remote Sensing Data -- chapter 17 Data Mining for Soil Salinity Modeling -- chapter Conclusions.