Techniques and methods in urban remote sensing

✍ Scribed by Weng, Qihao

• Publisher: John Wiley & Sons ; Piscataway
• Year: 2020
• Tongue: English
• Leaves: 376
• Category: Library

✦ Synopsis

Techniques and Methods in Urban Remote Sensing offers a comprehensive guide to the recent theories, methods, techniques, and applications in urban remote sensing. Written by a noted expert on the subject, this book explores the requirements for mapping impervious surfaces and examines the issue of scale. The book covers a range of topics and includes illustrative examples of commonly used methods for estimating and mapping urban impervious surfaces, explains how to determine urban thermal landscape and surface energy balance, and offers information on impacts of urbanization on land surface temperature, water quality, and environmental health. Techniques and Methods in Urban Remote Sensing brings together in one volume the latest opportunities for combining ever-increasing computational power, more plentiful and capable data, and more advanced algorithms. This allows the technologies of remote sensing and GIS to become mature and to gain wider and better applications in environments, ecosystems, resources, geosciences, geography and urban studies. This important book: contains a comprehensive resource to the latest developments in urban remote sensing; explains urban heat islands modeling and analysis; includes information on estimating urban surface energy fluxes; offers a guide to generating data on land surface temperature. Written for professionals and students of environmental, ecological, civic and urban studies, Techniques and Methods in Urban Remote Sensing meets the demand for an updated resource that addresses the recent advances urban remote sensing;Urban mapping requirements -- The scale issue -- Building extraction and classification -- Estimation and mapping of impervious surfaces -- Land surface temperature data generation -- Urban heat islands modeling and analysis -- Estimation of urban surface energy fluxes -- Cities at night -- Urban runoff modeling and prediction -- Urban ecology of West Nile Virus -- Impacts of urbanization on land surface temperature and water quality -- Remote sensing of socioeconomic attributes

✦ Table of Contents

Cover......Page 1
Title Page......Page 5
Copyright Page......Page 6
Contents......Page 7
Preface......Page 11
Synopsis of the Book......Page 15
Acknowledgments......Page 19
About the Author......Page 21
1.1 Introduction......Page 23
1.2 Spectral Resolution Requirement......Page 25
1.3 Temporal Resolution Requirement......Page 28
1.4 Spatial Resolution Requirement......Page 29
1.5 Linear Spectral Mixture Analysis of Urban Landscape......Page 31
1.5.1 Image Preprocessing......Page 32
1.5.2 Image End-Member Development......Page 33
1.5.4 Image Classification......Page 35
1.5.5 Urban Morphologic Analysis Based on the V‐I‐S Model......Page 38
1.5.6 Landscape Change and the V‐I‐S Dynamics......Page 43
1.6 Summary......Page 47
References......Page 48
2.1 Introduction......Page 55
2.2 Urban Land Mapping and Categorical Scale......Page 56
2.3 Observational Scale and Image Scene Models......Page 58
2.4 Operational Scale......Page 62
2.5.1 Spatial Variations of LST at Multiple Census Scales......Page 63
2.5.2 Population Estimation......Page 64
2.6 Summary......Page 68
References......Page 69
3.1 Introduction......Page 77
3.2.1 LiDAR Data and Preprocessing......Page 78
3.2.2 Methodology for Building Reconstruction......Page 79
3.2.3 Building Reconstruction Results......Page 83
3.3.2 Classification Results......Page 86
References......Page 88
4.1 Introduction......Page 91
4.2 Methods for Impervious Surface Extraction......Page 92
4.3.1 Linear Spectral Mixture Analysis......Page 94
4.3.2 The MLP Neural Network Method......Page 96
4.3.3 Fuzzy Classification......Page 97
4.3.4 Kernel Fuzzy C-Means Clustering......Page 103
References......Page 107
5.1 Introduction......Page 113
5.2.1 Study Area and Data......Page 117
5.2.2 LST Retrieval from Landsat TM Imagery......Page 120
5.2.3 Theoretical Basis of the TIR Data Fusion Model......Page 121
5.2.4 Implementation of the Spatiotemporal Adaptive Data Fusion Algorithm for Temperature Mapping......Page 126
5.2.5 Results of Data Fusion......Page 129
5.2.6 Summary......Page 132
5.3.1 Study Area and Data......Page 133
5.3.2 The DELTA Algorithm......Page 135
5.3.3 Results......Page 139
References......Page 143
6.1 Introduction......Page 151
6.2.1 Study Area and Data......Page 152
6.2.2 Kernel Convolution......Page 154
6.2.3 UHI Intensity Across Spatial Scales......Page 157
6.2.4 Summary......Page 159
6.3.1 Study Area and Data Sets......Page 160
6.3.2 Methodology......Page 162
6.3.3 General Thermal Pattern in the Greater Athens......Page 164
6.3.4 Time Series of Maximum LST......Page 166
References......Page 168
7.1 Introduction......Page 173
7.2.1 Study Area and Data Sets......Page 176
7.2.2 Remote Sensing Data Acquisition and Preprocessing......Page 177
7.2.3 Estimating Surface Heat Fluxes......Page 178
7.3 Heat Fluxes in Four Seasons......Page 182
7.4 Heat Fluxes by LULC Type......Page 184
7.5 Extreme Values of Heat Fluxes......Page 186
7.6 Anthropogenic Heat Discharge......Page 188
7.7 Summary......Page 189
References......Page 191
8.1 Introduction......Page 197
8.2.1 Study Area and Data Sets......Page 199
8.2.2 Methodology......Page 201
8.2.3 Results......Page 203
8.2.4 Discussion and Conclusions......Page 205
8.3.1 Study Area and Data Sets......Page 207
8.3.2 Methodology......Page 208
8.3.3 Results......Page 210
8.3.4 Discussion and Conclusions......Page 216
References......Page 219
9.1.1 Land-Use and Land‐Cover Change and Urban Runoff......Page 223
9.1.2 Spatially Distributed Surface Runoff Models......Page 224
9.2.1 Study Area and Data Sets......Page 227
9.2.2 Estimation of Composite CN......Page 229
9.2.3 Simulation of Surface Runoff......Page 230
9.2.4 Discussion......Page 233
9.3.1 Introduction......Page 234
9.3.2 Study Area and Data Sets......Page 235
9.3.3 Methods......Page 237
9.3.4 Changes in Water Quantity......Page 240
9.3.5 Changes in Water Quality......Page 243
9.3.6 Discussion......Page 246
References......Page 249
10.1 Introduction......Page 255
10.2 Research Background......Page 257
10.3.1 Study Area......Page 258
10.3.2 Remote Sensing Image Processing......Page 259
10.3.4 LST and Socioeconomic Conditions......Page 261
10.3.5 Model Development......Page 262
10.3.7 Results of Statistical Analysis......Page 264
10.3.8 Discussion......Page 267
10.4.1 Study Area and Data Collection......Page 269
10.4.2 Environmental Factors of WNV Dissemination......Page 271
10.4.3 Statistical Analysis......Page 273
10.4.4 Pattern of WNV Dissemination......Page 274
10.4.5 Mapping of Risk Areas......Page 276
10.4.6 Discussion......Page 278
References......Page 282
11.1 Introduction......Page 289
11.2.1 Study Area......Page 291
11.2.2 Data Sets and Image Preprocessing......Page 292
11.2.3 LULC Classification and Change Detection......Page 293
11.2.4 Decomposition Analysis of LST......Page 294
11.2.5 Results......Page 295
11.2.6 Discussion and Conclusions......Page 303
11.3.1 Study Area......Page 305
11.3.3 Landsat Image Processing and Derivation of Future Land‐Use Maps......Page 307
11.3.4 SWAT Hydrologic and Water Quality Model......Page 309
11.3.5 Results......Page 312
11.3.6 TSS Response at the Sub‐Watershed Scale SRES B1......Page 317
11.3.7 TSS Response at the Sub‐Watershed Scale SRES A1B......Page 319
11.4 Summary......Page 321
References......Page 322
12.1 Introduction......Page 329
12.2.1 Methodology......Page 334
12.2.2 Results......Page 339
12.2.3 Discussion and Conclusions......Page 342
12.3.1 Methodology......Page 344
12.3.2 Results......Page 347
12.3.3 Discussion and Conclusions......Page 358
References......Page 359
Index......Page 365
EULA......Page 376

✦ Subjects

City planning--Remote sensing;Land use, Urban--Remote sensing;Urban geography--Remote sensing;City planning -- Remote sensing;Land use, Urban -- Remote sensing;Urban geography -- Remote sensing