Remote Sensing and GIS
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Remote Sensing and GIS

Remote Sensing and GIS

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International Edition


About the Book

Beginning with the history and basic concepts of remote sensing and GIS, the book gives an exhaustive coverage of optical, thermal, and microwave remote sensing, global navigation satellite systems (such as GPS and IRNSS), digital photogrammetry, visual image analysis, digital image processing, spatial and attribute data model, geospatial analysis, and planning, implementation, and management of GIS. It also presents the modern trends of remote sensing and GIS with an illustrated discussion on its numerous applications.

Table of Contents:
1. Concept of Remote Sensing 1.1 Introduction 1.2 Distance of Remote Sensing 1.3 Definition of Remote Sensing 1.4 Remote Sensing: Art and/or Science 1.5 Data 1.5.1 In Situ Data 1.5.2 Remotely Sensed Data 1.6 Remote Sensing Process 1.7 Source of Energy 1.7.1 Concept of Energy 1.7.2 Electromagnetic Radiation 1.7.3 Electromagnetic Spectrum 1.8 Interaction with Atmosphere 1.8.1 Absorption 1.8.2 Scattering 1.8.3 Refraction 1.8.4 Reflection 1.9 Interaction with Target 1.9.1 Hemispherical Absorptance, Transmittance, and Reflectance 1.9.2 Spectral Reflectance Curve 1.10 Interaction with the Atmosphere Again 1.11 Recording of Energy by Sensor 1.11.1 Target and Path Radiance 1.12 Transmission, Reception, and Processing 1.13 Interpretation and Analysis 1.13.1 Visual Image Interpretation 1.13.2 Digital Image Processing 1.14 Applications of Remote Sensing 1.15 Advantages of Remote Sensing 1.16 Limitations of Remote Sensing 1.17 Ideal Remote Sensing System 2. Types of Remote Sensing and Sensor Characteristics 2.1 Introduction 2.2 Types of Remote Sensing 2.2.1 Classification Based on Platform 2.2.2 Classification Based on Energy Source 2.2.3 Classification Based on Imaging Media 2.2.4 Classification Based on the Regions of Electromagnetic Spectrum 2.2.5 Classification Based on Number of Bands 2.3 Characteristics of Images 2.4 Orbital Characteristics of Satellite 2.4.1 Orbit of Remote Sensing Satellite 2.5 Remote Sensing Satellites 2.6 Concept of Swath 2.7 Concept of Nadir 2.8 Sensor Resolutions 2.8.1 Spatial Resolution 2.8.2 Spectral Resolution 2.8.3 Radiometric Resolution 2.8.4 Temporal Resolution 2.9 Image Referencing System 2.9.1 Path 2.9.2 Row 2.9.3 Orbital Calendar 3. History of Remote Sensing and Indian Space Program 3.1 Introduction 3.2 The Early Age 3.3 The Middle Age 3.4 The Modern Age or Space Age 3.5 Indian Space Program 3.5.1 DOS and ISRO 3.5.2 NRSC 3.5.3 Indian Launch Programs 4. Photographic Imaging 4.1 Introduction 4.2 Camera Systems 4.2.1 Components of Aerial Metric Camera 4.2.2 Photographic Parameters 4.3 Types of Camera 4.3.1 Metric Cameras 4.3.2 Multiple-lens (or Multi- spectral or Multiple-band) Cameras 4.3.3 Panoramic Cameras 4.3.4 Strip Cameras 4.3.5 Large Format Cameras 4.4 Filter 4.4.1 Absorption Filter 4.4.2 Interference Filter 4.4.3 Anti-vignetting Filter 4.4.4 UV Filter and Skylight Filter 4.4.5 Haze Filter 4.4.6 Polarizing Filter 4.5 Film 4.5.1 Types of Film 4.5.2 Film Size 4.5.3 Film Resolution 4.5.4 Processing of Black-and-White Film 4.5.5 Processing of Colour Film 4.5.6 Digitization of Film 4.6 Geometry of Aerial Photography 4.6.1 Scale of Photograph 4.6.2 Vantage Point 4.7 Ideal Time and Atmosphere for Aerial Remote Sensing 5. Digital Imaging 5.1 Introduction 5.2 Digital Image 5.3 Sensor 5.3.1 Dispersing Element 5.3.2 Filter 5.3.3 Spectrometer and Spectroradiometer 5.3.4 Detectors 5.4 Imaging by Scanning Technique 5.4.1 Across-track Scanning 5.4.2 Along-track Scanning 5.5 Hyper-spectral Imaging 5.5.1 Airborne Visible Infrared Imaging Spectrometer (AVIRIS) 5.5.2 Compact Airborne Spectrographic Imager-2 (CASI-2) 5.5.3 Compact High Resolution Imaging Spectrometer (CHRIS) 5.6 Imaging By Non-scanning Technique 5.7 Thermal Remote Sensing 5.7.1 Radiant versus Kinetic Temperature 5.7.2 Blackbody Radiation 5.7.3 Thermal Imaging 5.7.4 Thermal Properties 5.7.5 Thermal Image and Temperature Mapping 5.7.6 Thermal Remote Sensing Sensors 5.8 Other Sensors 6. Microwave Remote Sensing 6.1 Introduction 6.2 Passive Microwave Remote Sensing 6.2.1 Passive Microwave Imagers 6.3 Active Microwave Remote Sensing 6.4 Radar Imaging 6.4.1 Frequency/Wavelength 6.4.2 Polarization 6.4.3 Viewing Geometry 6.4.4 Spatial Resolution of Radar System 6.4.5 Speckle 6.4.6 Surface Geometry 6.4.7 Surface Roughness 6.4.8 Dielectric Properties 6.5 Airborne Versus Space-Borne Radars 6.6 Radar Systems 6.6.1 RISAT - 1 7. Ground-truth Data and Global Positioning System 7.1 Introduction 7.2 Requirements of Ground-Truth Data 7.3 Instruments for Ground Truthing 7.4 Parameters of Ground Truthing 7.4.1 Atmospheric Conditions 7.4.2 Surface Water 7.4.3 Vegetation 7.4.4 Soil, Bare Ground, and Rock 7.4.5 Dark and Light Calibration Targets 7.5 Factors of Spectral Measurement 7.5.1 Sun Angles 7.5.2 Cloud Condition 7.5.3 Aerosol, Haze, and Water Vapour 7.5.4 Topography 7.5.5 Shadows 7.6 Global Navigation Satellite System 7.6.1 Satellite-based Navigation and Positioning Systems 7.6.2 Functional Segments of GPS 7.6.3 Working Principle of GPS 7.6.4 GPS Signals 7.6.5 Errors of GPS 7.6.6 Positioning Methods 7.6.7 Differential Global Positioning System 7.6.8 GPS Receivers 7.6.9 Applications of GNSS 8. Photogrammetry 8.1 Introduction 8.2 Development of Photogrammetry 8.3 Classification of Photogrammetry 8.4 Photogrammetric Process 8.5 Acquisition of Imagery and its Support Data 8.5.1 Acquisition of Imagery Using Aerial Platform 8.5.2 Acquisition of Imagery Using Satellite Platform 8.5.3 Control Surveys 8.5.4 Geometric Distortion in Imagery 8.6 Orientation and Triangulation 8.6.1 Coordinate Systems 8.6.2 Orientation 8.6.3 Block Triangulation 8.6.4 Transformation 8.7 Stereo Model Compilation 8.8 Stereoscopic 3D Viewing 8.8.1 Stereoscopic Viewing in Analog Photogrammetry 8.9 Stereoscopic Measurement 8.9.1 x-Parallax 8.9.2 y-parallax 8.10 DTM/DEM Generation 8.11 Contour Map Generation 8.12 Orthorectification 8.13 3D Feature Extraction 8.14 3D Scene Modelling 8.15 Photogrammetry and LiDAR 8.16 Radargrammetry and Radar Interferometry 8.17 Limitations of Photogrammetry 9. Visual Image Interpretation 9.1 Introduction 9.2 Information Extraction by Human and Computer 9.3 Remote Sensing Data Products 9.4 Border or Marginal Information 9.5 Image Interpretation 9.6 Elements of Visual Image Interpretation 9.6.1 Location 9.6.2 Size 9.6.3 Shape 9.6.4 Shadow 9.6.5 Tone 9.6.6 Colour 9.6.7 Texture 9.6.8 Pattern 9.6.9 Height and Depth 9.6.10 Site, Situation, and Association 9.7 Interpretation Keys 9.8 Generation of Thematic Maps 9.9 Thermal Image Interpretation 9.9.1 Diurnal Heating Effects 9.9.2 Thermal Properties of Water and Land 9.9.3 Interpretation of Multispectral Thermal Image 9.10 Radar Image Interpretation 9.10.1 Tone 9.10.2 Colour 9.10.3 Shape, Structure, and Size 9.10.4 Speckle 9.10.5 Antenna Pattern 9.10.6 Texture 10. Digital Image Processing 10.1 Introduction 10.2 Categorization of Image Processing 10.3 Image Processing Systems 10.4 Digital Image 10.5 Media for Digital Data Recording, Storage, and Distribution 10.6 Data Formats of Digital Image 10.7 Header Information 10.8 Display of Digital Image 10.9 Pre-processing 10.9.1 Radiometric Correction of Remotely Sensed Data 10.9.2 Geometric Correction of Remotely Sensed Data 10.9.3 Miscellaneous Pre-processing 10.10 Image Enhancement 10.10.1 Image Reduction 10.10.2 Image Magnification 10.10.3 Colour Compositing 10.10.4 Transect Extraction 10.10.5 Contrast Enhancement 10.10.6 Filtering 10.11 Image Transformation 10.11.1 Image Arithmetic Operations 10.11.2 Principal Component Transformation 10.11.3 Tasselled Cap Transformation (KT Transformation) 10.11.4 Colour Space Transformation 10.11.5 Fourier Transformation 10.11.6 Image Fusion 10.12 Image Classification 10.12.1 Information Class and Spectral Class 10.12.2 Supervised Versus Unsupervised Classification 10.12.3 Decision Rules for Supervised Classification 10.12.4 Decision Rules for Unsupervised Classification 10.12.5 Subpixel Classification 10.12.6 Accuracy Assessment 10.12.7 Post-classification Processing 11. Data Integration, Analysis, and Presentation 11.1 Introduction 11.2 Multi-approach of Remote Sensing 11.2.1 MultiSensor, Multiplatform, and MultiResolution Images 11.2.2 Multi-Spectral Images 11.2.3 MultiTemporal/MultiSeasonal Images 11.2.4 Multistage, Multiplatform, MultiScale, and MultiResolution 11.2.5 MultiSource Data 11.3 Integration with Ground Truth and Other Ancillary Data 11.4 Integration of Transformed Data 11.5 Integration with GIS 11.6 Process of Remote Sensing Data Analysis 11.7 The Level of Detail 11.8 Limitations of Remote Sensing Data Analysis 11.9 Presentation 12. Applications of Remote Sensing 12.1 Introduction 12.2 Land Cover and Land Use 12.2.1 Land-use/Land-cover Change 12.2.2 Land-cover Mapping 12.3 Agriculture 12.3.1 Crop Type Mapping 12.3.2 Crop Monitoring and Crop Damage Assessment 12.4 Forestry 12.4.1 Clear-cut Mapping and Deforestation 12.4.2 Species Identification and Typing 12.4.3 Burn Mapping 12.5 Geology 12.5.1 Structural Mapping and Terrain Analysis 12.5.2 Lineament Extraction 12.5.3 Geologic Unit Mapping 12.6 Geomorphology 12.7 Urban Applications 12.8 Hydrology 12.8.1 Flood Delineation and Mapping 12.8.2 Soil Moisture 12.8.3 Groundwater Prospects and Recharge 12.9 Mapping 12.9.1 Planimetry 12.9.2 Digital Elevation Models 12.9.3 Topographic and BTM 12.10 Oceans and Coastal Monitoring 12.10.1 Ocean Features 12.10.2 Ocean Colour and Phytoplankton Concentration 12.10.3 Measurement of SST 12.10.4 Oil Spill Detection 12.10.5 Sea-Surface Height 12.10.6 Sea-Surface Roughness 12.10.7 Ship Routing 12.10.8 Sea Ice 12.11 Monitoring of Atmospheric Constituents PART II Geographic Information Systems and Geospatial Analysis 13. Concept of Geographic Information Systems 13.1 Introduction 13.2 Definitions of GIS 13.3 Key Components of GIS 13.4 GIS-An Integration of Spatial and Attribute Information 13.5 GIS-Three Views of Information System 13.6 GIS and Related Terms 13.7 GIS-A Knowledge Hub 13.7.1 Geography 13.7.2 Cartography 13.7.3 Remote Sensing 13.7.4 Photogrammetry 13.7.5 Surveying 13.7.6 Geodesy 13.7.7 Global Navigation Satellite Systems 13.7.8 Statistics 13.7.9 Operations Research 13.7.10 Computer Science 13.7.11 Mathematics 13.7.12 Civil Engineering 13.8 GIS-A Set of Interrelated Subsystems 13.8.1 Data Processing Subsystem 13.8.2 Data Analysis Subsystem 13.8.3 Information Use Subsystem 13.8.4 Management Subsystem 13.8.5 Communication Subsystem 13.9 GIS-An Information Infrastructure 13.10 Origin of GIS 14. Functions and Advantages of GIS 14.1 Introduction 14.2 Functions of GIS 14.3 Application Areas of GIS 14.4 Advantages of GIS 14.4.1 Advantage over Traditional Map 14.4.2 Advantage over Mapping Software 14.4.3 Advantage over CAD 14.4.4 Advantage over AM/FM 14.4.5 Advantage over Conventional DBMS 14.4.6 Advantage of Analysis, Modelling, Presentation, and Decision Making 14.5 Functional Requirements of GIS 14.5.1 Relating Information from Different Sources 14.5.2 Data Capture 14.5.3 Database Storage and Management 14.5.4 Data Integration 14.5.5 Projection and Registration 14.5.6 Data Structures 14.5.7 Spatial Analysis 14.5.8 Data Modelling 14.5.9 Presenting Results 14.6 Limitations of GIS 15. Spatial Data Model 15.1 Introduction 15.2 Spatial, Thematic, and Temporal Dimensions of Geographic Data 15.3 Spatial Entity and Object 15.4 Spatial Data Model 15.4.1 Conceptual Data Model 15.4.2 Logical Data Model 15.4.3 Object-oriented Data Model 15.5 Raster Data Model 15.5.1 Field-based Raster Model 15.5.2 Object-based Raster Model 15.6 Vector Data Model 15.6.1 Object-based Vector Model 15.6.2 Field-based Vector Model 15.7 Raster versus Vector 15.8 Object-Oriented Data Model 15.8.1 Classification of Objects 15.9 File Formats of Spatial Data 16. Attribute Data Management and Metadata Concept 16.1 Introduction 16.2 Concept of Database and DBMS 16.2.1 Tables 16.2.2 Queries 16.2.3 Reports 16.2.4 Forms 16.3 Advantages of DBMS 16.4 Functions of DBMS 16.5 File and Data Access 16.5.1 Simple List 16.5.2 Ordered Sequential File 16.5.3 Indexed File 16.5.4 Databases 16.6 Data Models 16.7 Database Models 16.7.1 Object-based Model 16.7.2 Record-based Model 16.7.3 Physical Model 16.8 Data Models in GIS 16.9 Concept of SQL 16.10 Concept of Metadata 16.10.1 Role of Metadata in GIS 16.10.2 Metadata Standards 16.10.3 Metadata Formats 16.10.4 Questions to be Answered to Create Metadata 17. Process of GIS 17.1 Introduction 17.2 Data Capture 17.3 Data Sources 17.3.1 Conventional Analog Map Sources 17.3.2 Reports and Publications 17.3.3 Aerial Remote Sensing/Aerial Photography 17.3.4 Satellite Remote Sensing 17.3.5 Field Data Sources 17.3.6 Existing Digital Map Sources 17.4 Data Encoding Methods 17.4.1 Encoding Raster Data 17.4.2 Encoding Vector Data 17.4.3 Verification and Quality Checking of Vector Data 17.4.4 Vector Editing/Cleaning 17.4.5 Encoding Attribute Data 17.4.6 Digital File/Data Transfer 17.5 Linking of Spatial and Attribute Data 17.6 Organizing Data for Analysis 18. Geospatial Analysis 18.1 Introduction 18.2 Geospatial Data Analysis 18.3 Integration and Modelling of Spatial Data 18.4 Geospatial Data Analysis Methods 18.5 Database Query 18.5.1 Vector Data Query 18.5.2 Raster Data Query 18.6 Geospatial Measurements 18.6.1 Measurement of Density 18.6.2 Measurement of Distance 18.6.3 Measurement of Neighbourhood 18.7 Overlay Operations 18.7.1 Vector Overlay 18.7.2 Raster Overlay 18.8 Network Analysis 18.8.1 Network Tracing 18.8.2 Network Routing 18.8.3 Network Allocation 18.9 Surface Analysis 18.9.1 Deriving Contours/Isolines 18.9.2 Deriving Slope 18.9.3 Deriving Aspect 18.9.4 Hillshade Analysis 18.9.5 Viewshed Analysis 18.9.6 Watershed Analysis 18.9.7 Surface Intersection 18.10 Geostatistics 18.11 Geovisualization 18.11.1 Classification and Reclassification 18.11.2 Map Comparison 18.11.3 Chart 18.11.4 Report 18.11.5 Layout 18.11.6 3D Visualization 19. Planning, Implementation, and Management of GIS 19.1 Introduction 19.2 Planning of Project 19.2.1 Considering the Strategic Purpose 19.2.2 Plan for the Planning 19.2.3 Determine Technology Requirements 19.2.4 Describing Information Products 19.2.5 Defining System Scope 19.2.6 Designing Database 19.2.7 Choosing Logical Data Model 19.2.8 Determining System Requirements 19.2.9 Analysing Benefits and Costs 19.2.10 Implementation Plan 19.3 Implementation of Project 19.3.1 Procurement of Hardware and Software 19.3.2 Organization of Project Team 19.3.3 Training 19.3.4 Execution of Project 19.3.5 Quality Control and Quality Checking 19.3.6 Project Reporting 19.3.7 Project Meetings 19.4 Management of Project 19.4.1 Schedule/Time Management 19.4.2 Cost Management 19.4.3 Quality Management 19.4.4 Human Resource Management 19.4.5 Contract/Procurement Management 19.4.6 Communications Management 19.4.7 Scope Management 19.4.8 Risk Management 19.4.9 Project Integration Management 19.5 Keys for Successful GIS 19.6 Reasons for Unsuccessful GIS 20. Modern Trends of GIS 20.1 Introduction 20.2 Local to Global Concept in GIS 20.3 Increase in Dimensions in GIS 20.4 Linear to Non-linear Techniques in GIS 20.5 Development in Relation between Geometry and Algebra in GIS 20.6 Development of Common Techniques in GIS 20.7 Integration of GIS and Remote Sensing 20.8 Integration of GIS and Multimedia 20.8.1 Multimedia/Hypermedia GIS 20.8.2 Web GIS 20.9 3D GIS 20.9.1 Virtual Reality in GIS 20.10 Integration of 3D GIS and Web GIS 20.11 4D GIS and Real-time GIS 20.12 Mobile GIS 20.12.1 Mobile mapping 20.13 Collaborative GIS (CGIS) 21. Change Detection and Geosimulation 21.1 Visual change detection 21.2 Thresholding 21.3 Image difference 21.4 Image regression 21.5 Image ratioing 21.6 Vegetation index differencing 21.7 Principal component differencing 21.8 Multi-temporal image stock classification 21.9 Post classification comparison 21.10 Change vector analysis 21.12 Cellular automata simulation 21.13 Multi-agent simulation 21.4 ANN learning in simulation Appendix A Concept of Map, Coordinate System, and Projection A.1 Introduction A.2 What is Map? A.2.1 How Maps Convey Location and Extent? A.2.2 How Maps Convey Characteristics of Features? A.2.3 How Maps Convey Spatial Relationships? A.3 Orientation, Scale, Detail, Accuracy, and Resolution of Maps A.4 Classification of Maps A.4.1 Topographical Map by Survey of India A.5 Coordinate System A.5.1 Cartesian Coordinate System A.5.2 Geographic Coordinate System A.5.3 Projected Coordinate System A.6 Projection A.6.1 Selection of Map Projection A.7 Classification of Map Projection A.7.1 Cylindrical Projection A.7.2 Conical Projection A.7.3 Azimuthal Projection A.7.4 Miscellaneous Projection A.8 Projection Parameters A.8.1 Linear Parameters A.8.2 Angular Parameters A.9 Common Map Projections A.9.1 Polyconic Projection A.9.2 Lambert's Azimuthal Equal-area Projection A.9.3 UTM Projection A.9.4 Latitude/Longitude Geographic Coordinates Appendix B Concept on Mathematical Topics B.1 Introduction B.2 Number Systems B.2.1 Conversion of Any Number to Decimal Number System B.2.2 Conversion of Binary to Hexadecimal B.2.3 Conversion of Hexadecimal to Binary B.2.4 Conversion of Decimal to Any Other Number B.2.5 Binary Addition B.2.6 Complement B.2.7 Representation of Negative Numbers B.2.8 Floating-Point Number Representation B.3 Matrix B.3.1 Matrix Notation B.3.2 Matrix Transposition B.3.3 Summation of Matrix Elements B.3.4 Matrix Multiplication B.4 Polynomials B.5 Digital Imagery Coordinate B.6 Dimensionality of Image Data B.7 Pixel Window B.8 Image Histogram B.9 Mean B.10 Median B.11 Mode B.12 Variance B.13 Standard Deviation B.14 Covariance B.15 Covariance Matrix B.16 Measurement Vector B.17 Mean Vector B.18 Image Space and Feature Space B.18.1 Feature Space Image B.19 Factorial B.20 Threshold B.21 Fuzzy Logic B.22 Artificial Neural Network B.23 Greek Alphabets Acronyms and Glossary References Index


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Product Details
  • ISBN-13: 9780199496648
  • Publisher: OUP India
  • Publisher Imprint: OUP India
  • Edition: Revised edition
  • Language: English
  • Returnable: Y
  • Weight: 1078 gr
  • ISBN-10: 0199496641
  • Publisher Date: 27 Jan 2021
  • Binding: Paperback
  • Height: 240 mm
  • No of Pages: 752
  • Spine Width: 30 mm
  • Width: 184 mm


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