part Part I: Digital Remote Sensing Methods -- chapter 1 Estimating and Mapping Impervious Surface Area by Regression Analysis of Landsat Imagery / chapter 2 Subpixel Imperviousness Estimation with IKONOS Imagery: An Artificial Neural Network Approach / chapter 3 Mapping Impervious Surfaces Using Classification and Regression Tree Algorithm / chapter 4 Mapping Urban Impervious Surfaces from Medium and High Spatial Resolution Multispectral Imagery / part Part II: Technological Advances in Impervious Surface Mapping -- chapter 5 The SPLIT and MASC Models for Extraction of Impervious Surface Areas from Multiple Remote Sensing Data / chapter 6 Extracting Impervious Surface from Hyperspectral Imagery with Linear Spectral Mixture Analysis / chapter 7 Separating Types of Impervious Land Cover Using Fractals / chapter 8 Fusion of Radar and Optical Data for Identification of Human Settlements / part Part III: Transport-Related Impervious Surfaces -- chapter 9 Transportation Infrastructure Extraction Using Hyperspectral Remote Sensing / chapter 10 Transportation Infrastructure Extraction Using Hyperspectral Remote Sensing / chapter 11 Road Networks Derived from High Spatial Resolution Satellite Remote Sensing Data / chapter 12 Spectral Characteristics of Asphalt Road Surfaces / part Part IV: Roof-Related Impervious Surfaces -- chapter 13 Urban 3D Building Model from LiDAR Data and Digital Aerial Images / chapter 14 Building Extraction from Aerial Imagery / chapter 15 SAR Images of Built-Up Areas: Models and Data Interpretation / chapter 16 Roof Mapping Using Fused Multiresolution Optical Satellite Images / part Part V: Impervious Surface Data Applications -- chapter 17 Impervious Surface Area and Its Effect on Water Abundance and Water Quality / chapter 18 Impervious Surface Area Dynamics and Storm Runoff Response / chapter 19 Growth of Impervious Surface Coverage and Aquatic Fauna / chapter 20 Using Remotely Sensed Impervious Surface Data to Estimate Population / chapter Authors.