Remote sensing and GIS integration : theories, methods and applications (Record no. 28271)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 08085nam a2200157Ia 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 007160653X |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.3678 |
| Item number | WEN |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Weng, Qihao |
| 245 ## - TITLE STATEMENT | |
| Title | Remote sensing and GIS integration : theories, methods and applications |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New York |
| Name of publisher, distributor, etc. | McGraw Hill International Book Co. |
| Date of publication, distribution, etc. | 2010 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvii,397p. |
| 500 ## - GENERAL NOTE | |
| General note | CONTENTS Foreword ix Preface xiii Acknowledgments xvii 1Principles of Remote Sensing and Geographic Information Systems (CIS) 1 1.1Principles of Remote Sensing 1 1.1.1Concept of Remote Sensing1 1.1.2Principles of Electromagnetic Radiation 2 1.1.3Characteristics of Remotely Sensed Data 5 1.1.4Remote Sensing Data Interpretation and Analysis 8 1.2Principles of GK 21 1.2.1Scope of Geographic Information System and Geographic Information Science 21 1.2.2Raster CIS and Capabilities 23 1.2.3Vector GIS and Capabilities 25 1.2.4Network Data Model 29 1.2.5Object-Oriented Data Model 30 References 31 2Integration of Remote Sensing and Geographic Information Systems (GIS) 43 2.1Methods for the Integration between Remote Sensing and GIS 43 2.1.1Contributions of Remote Sensing to GIS 44 2.1.2Contributions of GIS to Remote Sensing 46 2.1.3Integration of Remote Sensing and GIS for Urban Analysis49 2.2Theories of the Integration 51 2.2.1Evolutionary Integration51 2.2.2Methodological Integration 52 2.2.3The Integration Models 53 2.3Impediments to Integration and Probable Solutions 57 2.3.1Conceptual Impediments and Probable Solutions 57 2.3.2Technical Impediments and Probable Solutions61 2.4Prospects tor Future Developments68 2.4.1 Impacts of Computer, Network, and Telecommunications Technologies 68 2.4.2Impacts of the Availability of Very High Resolution Satellite Imagery and LiDAR Data71 2.4.3Impacts of New Image-Analysis Algorithms 73 2.5Conclusions 78 References 78 3Urban Land Use and Land Cover Classification 91 3.1Incorporation of Ancillary Data for Improving Image Classification Accuracy 92 3.2Case Study: Landsat Image-Housing Data Integration for LULC Classification in Indianapolis 95 3.2.1Study Area 95 3.2.2Datasets Used 96 3.2.3 Methodology 98 3.2.4Accuracy Assessment105 3.3Classification Result by Using Housing Data at the Pro-Classification Stage 105 3.4Classification Result by Integrating Housing Data during the Classification 109 3.5Classification Result by Using Housing Data at the Post-Classification Stage 111 3.6Summary112 References 114 4Urban Landscape Characterization and Analysis 117 4.1Urban Landscape Analysis with Remote Sensing 118 4.1.1Urban Materials, Land Cover, and Land Use 118 4.1.2The Scale Issue 120 4.1.3The Image Scene Models121 4.1.4The Continuum Model of Urban Landscape 121 4.1.5Linear Spectral Mixture Analysis (LSMA)123 4.2Case Study: Urban Landscape Patterns and Dynamics in Indianapolis 125 4.2.1Image Preprocessing 125 4.2.2Image Endmember Development125 4.2.3Extraction of Impervious Surfaces 127 4.2.4 Image Classification130 4.2.5Urban Morphologic Analysis Based on the V-I-S Model130 4.2.6Landscape Change and the V-I-S Dynamics 134 4.2.7 Intra-Urban Variations and the V-I-S Compositions 139 4.3Discussion and Conclusions 157 References 160 5Urban Feature Extraction165 5.1Landscape Lleterogeneity and Per-Fieldand Object-Based Image Classifications 166 5.2 Case Study: Urban Feature Extraction from High Spatial-Resolution Satellite Imagery 169 5.2.1Data Used 169 5.2.2Image Segmentation169 5.2.3Rule-Based Classification170 5.2.4Post-Classification Refinement and Accuracy Assessment 171 5.2.5Results of Feature Extraction 173 5.3Discussion 173 5.4 Conclusions 178 References179 6Building Extraction from LiDAR Data 183 6.1The LiDAR Technology 185 6.2Building Extraction 186 6.3 Case Study 188 6.3.1Datasets188 6.3.2Generation of the Normalized Height Model 189 6.3.3Object-Oriented Building Extraction 192 6.3.4 Accuracy Assessment 196 6.3.5Strategies for Object-Oriented Building Extraction 197 6.3.6Error Analysis201 6.4Discussion and Conclusions 205 References 206 7Urban Land Surface Temperature Analysis 209 7.1Remote Sensing Analysis of Urban Land Surface Temperatures210 7.2Case Study: Land-Use Zoning and LST Variations 211 7.2.1Satellite Image Preprocessing211 7.2.2LULC Classification 212 7.2.3Spectral Mixture Analysis213 7.2.4Estimation of LSTs 215 7.2.5Statistical Analysis 218 7.2.6Landscape Metrics Computation219 7.2.7Factors Contributing to LST Variations225 7.2.8General Zoning, Residential Zoning, and LST Variations 234 7.2.9Seasonal Dynamics of LST Patterns 237 7.3Discussion and Conclusions: Remote Sensing-GIS Integration in. Urban Land-Use Planning 240 References 242 8Surface Runoff Modeling and Analysis247 8.1The Distributed Surface Runoff Modeling 248 8.2 Study Area 251 8.3Integrated. Remote Sensing-GIS Approach to Surface Runoff Modeling 253 8.3.1Hydrologic Parameter Determination Using CIS 253 8.3.2Hydrologic Modeling within the CIS257 8.4Urban Growth in the Zbujiang Delta 257 8.5Impact of Urban Growth on Surface Runoff 259 8.6Impact of Urban Growth on Rainfall-Runoff Relationship 261 8.7 Discussion and Conclusions263 References 264 9Assessing Urban Air Pollution Patterns267 9.1Relationship between Urban Air Pollution and Land-Use Patterns 268 9.2Case Study- Air Pollution Pattern in Guangzhou, China, 1980-2000 270 9.2.1Study Area: Guangzhou, China270 9.2.2Data Acquisition and Analysis 272 9.2.3Air Pollution Patterns275 9.2.4Urban Land Use and Air Pollution Patterns 283 9.2.5Urban Thermal Patterns and Air Pollution288 9.3Summary 291 9.4 Remote Sensing-GIS Integration for Studies of Urban Environments 291 References 292 10Population Estimation 295 10.1Approaches to Population Estimation with Remote Sensing-GIS Techniques 296 10.1.1Measurements of Built-Up Areas 296 10.1.2Counts of Dwelling Units 299 10.1.3Measurement of Different Land-Use Areas 300 10.1.4Spectral Radiance301 10.2Case Study: Population Estimation Using Landsat ETM+ Imagery 303 10.2.1Study Area and Darasets 303 10.2.2Methods 303 10.2.3Result of Population Estimation Based on a Non-Stratified Sampling Method308 10.2.4Result of Population Estimation Based on Stratified Sampling Method 313 10.3Discussion 320 10.4Conclusions 321 References322 11Quality of Life Assessment 327 11.1Assessing Quality of Life328 11.1.1Concept of QOL 328 11.1.2QOL Domains and Models 329 11.1.3Application of Remote Sensing and CIS in QOL Studies 330 11.2 Case Study: QOL Assessment in Indianapolis with Integration of Remote Sensing and CIS 331 11.2.1Study Area and Datasets 331 11.2.2Extraction of Socioeconomic Variables from Census Data 332 11.2.3Extraction of Environmental Variables 332 11.2.4Statistical Analysis and Development of a QOL Index333 11.2.5Geographic Patterns of Environmental and Socioeconomic Variables 334 11.2.6Factor Analysis Results 335 11.2.7Result of Regression Analysis341 11.3Discussion and Conclusions 342 References 343 12Urban and Regional Development 345 12.1Regional LULC Change 345 12.1.1Definitions of Land Use and Land Cover346 12.1.2Dynamics of Land Use and Land Cover and Their Interplay 346 12.1.3Driving Forces in LULC Change348 12.2Case Study: Urban Growth and Socioeconomic Development in the Zhujiang Delta, China 349 12.2.1Urban Growth Analysis 350 12.2.2Driving Forces Analysis350 12.2.3Urban LULC Modeling 351 12.2.4Urban Growth in the Zhujiang Delta, 1989-1997 352 12.2.5Urban Growth and Socioeconomic Development 355 12.2.6Major Types of Urban Expansion 357 12.2.7Summary 359 12.3Discussion: Integration of Remote Sensing and CIS for Urban Growth Analysis 359 References360 13Public Health Applications 363 13.1WNV Dissemination and Environmental Characteristics 364 13.2Case Study: WNV Dissemination in Indianapolis, 2002-2007 365 13.2.1Data Collection and Preprocessing365 13.2.2Plotting Epidemic Curves 368 13.2.3Risk Area Estimation 368 13.2.4Discriminant Analysis 368 13.2.5Results 369 13.3Discussion and Conclusions 377 References 379 Index383 |
| 890 ## - COUNTRY | |
| -- | United States |
| 891 ## - TOPIC | |
| -- | FGSA |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date checked out | Price effective from | Koha item type | Public note |
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| CEPT Library | CEPT Library | 28/03/2012 | Baroda Book Corp. | 6762.50 | 10 | 18 | 621.3678 WEN | 009267 | 15/12/2022 | 07/07/2022 | 30/08/2013 | Book | Status:Catalogued;Bill No:C-4551 |