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Sunday, 12 May 2019

Remote Sensing of Impervious Surfaces



Remote Sensing of Impervious Surfaces


Contents

Editor........................................................................................................ ix
Contributors ............................................................................................ xi
Remote Sensing of Impervious Surfaces: An Overview................... xv
Qihao Weng




Part I Digital Remote Sensing Methods


1. Estimating and Mapping Impervious Surface Area
by Regression Analysis of Landsat Imagery............................... 3
Marvin E. Bauer, Brian C. Loffelholz, and Bruce Wilson

2. Subpixel Imperviousness Estimation with IKONOS
Imagery: An Artificial Neural Network Approach .................. 21
Rama Prasada Mohapatra and Changshan Wu

3. Mapping Impervious Surfaces Using Classification
and Regression Tree Algorithm.................................................. 39
George Xian

4. Mapping Urban Impervious Surfaces from Medium
and High Spatial Resolution Multispectral Imagery............... 59
Dengsheng Lu and Qihao Weng

Part II Technological Advances in Impervious

Surface Mapping
5. The SPLIT and MASC Models for Extraction of
Impervious Surface Areas from Multiple Remote
Sensing Data ................................................................................. 77
Yeqiao Wang, Yuyu Zhou, and Xinsheng Zhang

6. Extracting Impervious Surface from Hyperspectral
Imagery with Linear Spectral Mixture Analysis ...................... 93
Qihao Weng, Xuefei Hu, and Dengsheng Lu

7. Separating Types of Impervious Land Cover
Using Fractals ............................................................................. 119
Lindi J. Quackenbush

8. Fusion of Radar and Optical Data for Identification
of Human Settlements ............................................................... 143
Paolo Gamba and Fabio Dell’Acqua

Part III Transport-Related Impervious Surfaces

9. Transportation Infrastructure Extraction Using
Hyperspectral Remote Sensing................................................. 163
Ramanathan Sugumaran, James Gerjevic, and Matthew Voss

10. Road Extraction from SAR Imagery......................................... 179
Uwe Stilla, Stefan Hinz, Karin Hedman, and Birgit Wessel

11. Road Networks Derived from High Spatial Resolution
Satellite Remote Sensing Data ................................................. 215
Renaud Pe´teri and Thierry Ranchin

12. Spectral Characteristics of Asphalt Road Surfaces ................ 237
Martin Herold

Part IV Roof-Related Impervious Surfaces

13. Urban 3D Building Model from LiDAR Data
and Digital Aerial Images ......................................................... 251
Guoqing Zhou

14. Building Extraction from Aerial Imagery................................ 269
Armin Gruen

15. SAR Images of Built-Up Areas: Models and Data
Interpretation.............................................................................. 297
Giorgio Franceschetti, Antonio Iodice, and Daniele Riccio

16. Roof Mapping Using Fused Multiresolution Optical
Satellite Images .......................................................................... 331
Yun Zhang and Travis Maxwell

Part V Impervious Surface Data Applications

17. Impervious Surface Area and Its Effect on Water
Abundance and Water Quality ................................................. 353
Toby N. Carlson

18. Impervious Surface Area Dynamics and Storm
Runoff Response ........................................................................ 369
Assefa M. Melesse and Xixi Wang

19. Growth of Impervious Surface Coverage
and Aquatic Fauna ..................................................................... 387
Robert R. Gillies


20. Using Remotely Sensed Impervious Surface Data
to Estimate Population .............................................................. 409
Bingqing Liang, Qihao Weng, and Dengsheng Lu

Authors .................................................................................................. 431
Index....................................................................................................... 443


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