Remote Sensing of Impervious Surfaces

Abstract

Introduction - Remote Sensing of Impervious Surfaces Q. Weng PART I: DIGITAL REMOTE SENSING METHODS Estimating Percent Impervious Surfaces Using Multiple Regression M. Bauer Sub-pixel Algorithms for Impervious Surface Mapping C.S. Wu Mapping Impervious Surfaces Using Classification and Regression Tree Algorithm G. Xian Mapping Urban Impervious Surfaces from Medium and High Spatial Resolution Multispectral Imagery D. Lu and Q. Weng PART II: TECHNOLOGY ADVANCES IN IMPERVIOUS SURFACE MAPPING A SPLIT Model for Extraction of Subpixel Impervious Surface Information Y.Q. Wang Use of Hyperspectral Imagery for Extracting Impervious Surface Data Q. Weng and X. Hu Separation of Roads and Roofs Using Fractals L.J. Quackenbush Fusion of Radar and Optical Data For Identification of Man-Made Structures P. Gamba PART III: TRANSPORT-RELATED IMPERVIOUS SURFACES Extraction of Transportation Infrastructure From Hyperspectral Data R. Sugumaran Road Extraction From SAR Imagery U. Stilla Road Networks Derived From High Spatial Resolution Satellite Remote Sensing Data R. Peteri Spectral Characteristics of Asphalt Roads M. Herold PART IV: ROOF-RELATED IMPERVIOUS SURFACES Urban 3D Building Model From LIDAR Data and Aerial Images G. Zhou Building Extraction From Aerial Imagery A. Gruen SAR Images of Built-Up Areas: Models and Data Elaborations G. Franceschetti Multi-scale Roof Mapping Using Fused Multi-Resolution Optical Satellite Images Y. Zhang PART V: IMPERVIOUS SURFACE DATA APPLICATIONS Impervious Surface Area and Its Effect On Water Quality and Water Abundance T. Carlson Impervious Surface Data for Hydrological Modeling of Water Flow A.M. Melesse The Growth of Impervious Surface Coverage and Aquatic Fauna R.R. Gillies Using Remotely Sensed Impervious Surface Data to Estimate Population B. Liang, Q. Weng, and D. Lu