Remote sensing and GIS integration: theories, methods, and applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
McGraw-Hill
2010
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVII, 397 S., [8] Bl. Ill., graph. Darst., Kt. |
| ISBN: | 9780071606530 007160653X |
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| 100 | 1 | |a Weng, Qihao |d 1964- |e Verfasser |0 (DE-588)132795116 |4 aut | |
| 245 | 1 | 0 | |a Remote sensing and GIS integration |b theories, methods, and applications |c Qihao Weng |
| 264 | 1 | |a New York [u.a.] |b McGraw-Hill |c 2010 | |
| 300 | |a XVII, 397 S., [8] Bl. |b Ill., graph. Darst., Kt. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Environmental sciences |x Remote sensing | |
| 650 | 4 | |a Geographic information systems | |
| 650 | 4 | |a Land use, Urban |x Remote sensing | |
| 650 | 4 | |a Remote sensing | |
| 650 | 4 | |a Urban geography |x Remote sensing | |
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Datensatz im Suchindex
| _version_ | 1804141095746011136 |
|---|---|
| adam_text | Titel: Remote sensing and GIS integration
Autor: Weng, Qihao
Jahr: 2010
Contents
Foreword ................................... ix
Preface ..................................... xiii
Acknowledgments ........................... xvii
Principles of Remote Sensing and Geographic
Information Systems (GIS) .................... 1
1.1 Principles of Remote Sensing .............. 1
1.1.1 Concept of Remote Sensing ........ 1
1.1.2 Principles of Electromagnetic
Radiation ........................ 2
1.1.3 Characteristics of Remotely
Sensed Data ..................... 5
1.1.4 Remote Sensing Data Interpretation
and Analysis ..................... 8
1.2 Principles of GIS ........................ 21
1.2.1 Scope of Geographic Information
System and Geographic
Information Science ............... 21
1.2.2 Raster GIS and Capabilities ........ 23
1.2.3 Vector GIS and Capabilities ........ 25
1.2.4 Network Data Model ............. 29
1.2.5 Object-Oriented Data Model ....... 30
References .................................. 31
Integration of Remote Sensing and Geographic
Information Systems (GIS) .................... 43
2.1 Methods for the Integration between
Remote Sensing and GIS ................. 43
2.1.1 Contributions of Remote
Sensing to GIS ................... 44
2.1.2 Contributions of GIS to Remote
Sensing ......................... 46
2.1.3 Integration of Remote Sensing
and GIS for Urban Analysis ........ 49
2.2 Theories of the Integration ................ 51
2.2.1 Evolutionary Integration .......... 51
2.2.2 Methodological Integration ........ 52
2.2.3 The Integration Models ............ 53
2.3 Impediments to Integration
and Probable Solutions ................... 57
¡V Contents
2.3.1 Conceptual Impediments
and Probable Solutions ............ 57
2.3.2 Technical Impediments
and Probable Solutions ............ 61
2.4 Prospects for Future Developments ........ 68
2.4.1 Impacts of Computer, Network, and
Telecommunications Technologies ___ 68
2.4.2 Impacts of the Availability of
Very High Resolution Satellite
Imagery and LiDAR Data .......... 71
2.4.3 Impacts of New Image-Analysis
Algorithms ...................... 73
2.5 Conclusions ............................ 78
References .................................. 78
3 Urban Land Use and Land Cover Classification ___ 91
3.1 Incorporation of Ancillary Data for
Improving Image Classification Accuracy ... 92
3.2 Case Study: Landsat Image-Housing Data
Integration for LULC Classification
in Indianapolis .......................... 95
3.2.1 Study Area ...................... 95
3.2.2 Datasets Used ..................... 96
3.2.3 Methodology .................... 98
3.2.4 Accuracy Assessment ............. 105
3.3 Classification Result by Using Housing
Data at the Pre-Classification Stage ........ 105
3.4 Classification Result by Integrating
Housing Data during the Classification ..... 109
3.5 Classification Result by Using Housing
Data at the Post-Classification Stage ....... Ill
3.6 Summary ............................... 112
References .................................. 114
4 Urban Landscape Characterization
and Analysis ................................. 117
4.1 Urban Landscape Analysis with
Remote Sensing ......................... 118
4.1.1 Urban Materials, Land Cover,
andLandUse .................... 118
4.1.2 The Scale Issue ................... 120
4.1.3 The Image Scene Models ........ 121
4.1.4 The Continuum Model of Urban
Landscape ....................... 121
4.1.5 Linear Spectral Mixture Analysis
(LSMA) ......................... 123
Contents
4.2 Case Study: Urban Landscape Patterns
and Dynamics in Indianapolis ............ 125
4.2.1 Image Preprocessing .............. 125
4.2.2 Image Endmember Development ... 125
4.2.3 Extraction of Impervious Surfaces ___ 127
4.2.4 Image Classification .............. 130
4.2.5 Urban Morphologic Analysis Based
on the V-I-S Model ................ 130
4.2.6 Landscape Change and the V-I-S
Dynamics ....................... 134
4.2.7 Intra-Urban Variations and the V-I-S
Compositions .................... 139
4.3 Discussion and Conclusions .............. 157
References .................................. 160
5 Urban Feature Extraction ...................... 165
5.1 Landscape Heterogeneity and Per-Field
and Object-Based Image Classifications .... 166
5.2 Case Study: Urban Feature Extraction
from High Spatial-Resolution Satellite
Imagery ................................ 169
5.2.1 Data Used ....................... 169
5.2.2 Image Segmentation .............. 169
5.2.3 Rule-Based Classification .......... 170
5.2.4 Post-Classification Refinement
and Accuracy Assessment ......... 171
5.2.5 Results of Feature Extraction ....... 173
5.3 Discussion .............................. 173
5.4 Conclusions ............................ 178
References .................................. 179
6 Building Extraction from LiDAR Data .......... 183
6.1 The LiDAR Technology .................. 185
6.2 Building Extraction ...................... 186
6.3 Case Study ............................. 188
6.3.1 Datasets ......................... 188
6.3.2 Generation of the Normalized
HeightModel .................... 189
6.3.3 Object-Oriented Building
Extraction ....................... 192
6.3.4 Accuracy Assessment ............. 196
6.3.5 Strategies for Object-Oriented
Building Extraction ............... 197
6.3.6 Error Analysis .................... 201
6.4 Discussion and Conclusions .............. 205
References .................................. 206
vi Contents
Urban Land Surface Temperature Analysis ...... 209
7.1 Remote Sensing Analysis of Urban
Land Surface Temperatures ............... 210
7.2 Case Study: Land-Use Zoning and LST
Variations .............................. 211
7.2.1 Satellite Image Preprocessing ...... 211
7.2.2 LULC Classification ............... 212
7.2.3 Spectral Mixture Analysis .......... 213
7.2.4 Estimation of LSTs ................ 215
7.2.5 Statistical Analysis ................ 218
7.2.6 Landscape Metrics Computation ... 219
7.2.7 Factors Contributing
to LST Variations ................. 225
7.2.8 General Zoning, Residential Zoning,
and LST Variations ............... 234
7.2.9 Seasonal Dynamics
of LST Patterns ................... 237
7.3 Discussion and Conclusions: Remote
Sensing-GIS Integration in Urban
Land-Use Planning ...................... 240
References .................................. 242
Surface Runoff Modeling and Analysis ......... 247
8.1 The Distributed Surface Runoff Modeling ... 248
8.2 Study Area ............................. 251
8.3 Integrated Remote Sensing-GIS Approach
to Surface Runoff Modeling ............... 253
8.3.1 Hydrologie Parameter Determination
UsingGIS ....................... 253
8.3.2 Hydrologie Modeling
within the GIS ................... 257
8.4 Urban Growth in the Zhujiang Delta ....... 257
8.5 Impact of Urban Growth on
Surface Runoff .......................... 259
8.6 Impact of Urban Growth on Rainfall-Runoff
Relationship ............................ 261
8.7 Discussion and Conclusions .............. 263
References .................................. 264
Assessing Urban Air Pollution Patterns ......... 267
9.1 Relationship between Urban Air Pollution
and Land-Use Patterns ................... 268
9.2 Case Study: Air Pollution Pattern
in Guangzhou, China, 1980-2000 .......... 270
9.2.1 Study Area: Guangzhou, China ..... 270
9.2.2 Data Acquisition and Analysis ..... 272
Contents vìi
9.2.3 Air Pollution Patterns ............. 275
9.2.4 Urban Land Use and Air Pollution
Patterns ......................... 283
9.2.5 Urban Thermal Patterns
and Air Pollution ................. 288
9.3 Summary .............................. 291
9.4 Remote Sensing-GIS Integration for Studies
of Urban Environments .................. 291
References .................................. 292
10 Population Estimation ........................ 295
10.1 Approaches to Population Estimation
with Remote Sensing-GIS Techniques ...... 296
10.1.1 Measurements of Built-Up Areas ___ 296
10.1.2 Counts of Dwelling Units ......... 299
10.1.3 Measurement of Different Land-Use
Areas .......................... 300
10.1.4 Spectral Radiance ................ 301
10.2 Case Study: Population Estimation Using
Landsat ETM+ Imagery .................. 303
10.2.1 Study Area and Datasets .......... 303
10.2.2 Methods ........................ 303
10.2.3 Result of Population Estimation
Based on a Non-Stratified Sampling
Method ......................... 308
10.2.4 Result of Population Estimation
Based on Stratified Sampling
Method ......................... 313
10.3 Discussion ............................. 320
10.4 Conclusions ............................ 321
References ................................... 322
11 Quality of Life Assessment .................... 327
11.1 Assessing Quality of Life ................. 328
11.1.1 ConceptofQOL .................. 328
11.1.2 QOL Domains and Models ........ 329
11.1.3 Application of Remote Sensing
and GIS in QOL Studies ........... 330
11.2 Case Study: QOL Assessment in Indianapolis
with Integration of Remote Sensing
and GIS ................................ 331
11.2.1 Study Area and Datasets .......... 331
11.2.2 Extraction of Socioeconomic
Variables from Census Data ....... 332
11.2.3 Extraction of Environmental
Variables ........................ 332
Viii Contents
11.2.4 Statistical Analysis and Development
ofaQOLIndex .................. 333
11.2.5 Geographic Patterns of Environmental
and Socioeconomic Variables ...... 334
11.2.6 Factor Analysis Results ........... 335
11.2.7 Result of Regression Analysis ...... 341
11.3 Discussion and Conclusions .............. 342
References ................................... 343
12 Urban and Regional Development ............. 345
12.1 Regional LULC Change .................. 345
12.1.1 Definitions of Land Use
and Land Cover .................. 346
12.1.2 Dynamics of Land Use and Land
Cover and Their Interplay ......... 346
12.1.3 Driving Forces in LULC Change ... 348
12.2 Case Study: Urban Growth
and Socioeconomic Development
in the Zhujiang Delta, China .............. 350
12.2.1 Urban Growth Analysis ........... 350
12.2.2 Driving Forces Analysis ........... 350
12.2.3 Urban LULC Modeling ........... 351
12.2.4 Urban Growth in the Zhujiang
Delta, 1989-1997 ................. 352
12.2.5 Urban Growth and Socioeconomic
Development .................... 355
12.2.6 Major Types of Urban Expansion ... 357
12.2.7 Summary ....................... 359
12.3 Discussion: Integration of Remote Sensing
and GIS for Urban Growth Analysis ....... 359
References ................................... 360
13 Public Health Applications .................... 363
13.1 WNV Dissemination and Environmental
Characteristics .......................... 364
13.2 Case Study: WNV Dissemination
in Indianapolis, 2002-2007 ................ 365
13.2.1 Data Collection and Preprocessing ... 365
13.2.2 Plotting Epidemic Curves ......... 368
13.2.3 Risk Area Estimation ............. 368
13.2.4 Discriminant Analysis ............ 368
13.2.5 Results ......................... 369
13.3 Discussion and Conclusions .............. 377
References ................................... 379
Index ....................................... 383
|
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| indexdate | 2024-07-09T22:10:26Z |
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| isbn | 9780071606530 007160653X |
| language | English |
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| physical | XVII, 397 S., [8] Bl. Ill., graph. Darst., Kt. |
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| spelling | Weng, Qihao 1964- Verfasser (DE-588)132795116 aut Remote sensing and GIS integration theories, methods, and applications Qihao Weng New York [u.a.] McGraw-Hill 2010 XVII, 397 S., [8] Bl. Ill., graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier Environmental sciences Remote sensing Geographic information systems Land use, Urban Remote sensing Remote sensing Urban geography Remote sensing Fernerkundung (DE-588)4016796-3 gnd rswk-swf Geoinformationssystem (DE-588)4261642-6 gnd rswk-swf Geoinformationssystem (DE-588)4261642-6 s Fernerkundung (DE-588)4016796-3 s DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018947004&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Weng, Qihao 1964- Remote sensing and GIS integration theories, methods, and applications Environmental sciences Remote sensing Geographic information systems Land use, Urban Remote sensing Remote sensing Urban geography Remote sensing Fernerkundung (DE-588)4016796-3 gnd Geoinformationssystem (DE-588)4261642-6 gnd |
| subject_GND | (DE-588)4016796-3 (DE-588)4261642-6 |
| title | Remote sensing and GIS integration theories, methods, and applications |
| title_auth | Remote sensing and GIS integration theories, methods, and applications |
| title_exact_search | Remote sensing and GIS integration theories, methods, and applications |
| title_full | Remote sensing and GIS integration theories, methods, and applications Qihao Weng |
| title_fullStr | Remote sensing and GIS integration theories, methods, and applications Qihao Weng |
| title_full_unstemmed | Remote sensing and GIS integration theories, methods, and applications Qihao Weng |
| title_short | Remote sensing and GIS integration |
| title_sort | remote sensing and gis integration theories methods and applications |
| title_sub | theories, methods, and applications |
| topic | Environmental sciences Remote sensing Geographic information systems Land use, Urban Remote sensing Remote sensing Urban geography Remote sensing Fernerkundung (DE-588)4016796-3 gnd Geoinformationssystem (DE-588)4261642-6 gnd |
| topic_facet | Environmental sciences Remote sensing Geographic information systems Land use, Urban Remote sensing Remote sensing Urban geography Remote sensing Fernerkundung Geoinformationssystem |
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