| Description |
1 online resource (301 p.) |
| Contents |
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgements -- About the Authors -- 1 Cities Means to Menace? -- 1.1 Urban Enterprise: Chaos of the People, By the People, for the People! -- 1.1.1 Impact of Urbanization On Water -- 1.1.1.1 Mashhad Case Study -- 1.1.1.2 Pune Case Study -- 1.1.2 Impact of Urbanization On Air -- 1.1.2.1 Houston Case Study -- 1.1.2.2 Pune Case Study -- 1.2 Urban Sustainability and Systemic View of an Urban Enterprise -- 1.2.1 Urban Systems |
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1.2.2 Measuring Sustainability -- Sustainable Development Goals Indicator Framework -- 1.3 Urban Metabolism Model as an Instrument to Reduce Complexity -- 1.3.1 Urban Metabolism Framework Using Remote Sensing -- 1.3.2 Modules of Urban Metabolism Framework -- 1.3.3 Example Remote Sensing Models in Urban Metabolism Framework -- 1.3.3.1 Urban Growth -- 1.3.3.2 CO2 Emissions -- 1.4 Remote Sensing Opportunities -- 1.5 Summary -- Notes -- Works Cited -- 2 Introduction to Hyperspectral Imaging -- 2.1 Hyperspectral Data -- 2.1.1 Definition and Characteristics -- 2.1.2 Some Useful Terms |
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2.1.3 Quantum Mechanical Explanation of Radiation Absorption -- 2.2 Multispectral, Superspectral, Hyperspectral, Ultraspectral -- 2.3 Challenges -- 2.3.1 Coarse Spatial Resolution -- 2.3.2 Increased Data Size -- 2.3.3 Small Number of Samples and High Dimensions -- 2.3.4 Lack of Unique Spectral Signature -- 2.4 Sensors and Platforms -- 2.4.1 Spaceborne Platforms -- 2.4.1.1 Earth Observing-1 (EO-1)-Hyperion -- 2.4.1.2 Spaceborne Hyperspectral Applicative Land and Ocean Mission (SHALOM) -- 2.4.1.3 PROBA-1-CHRIS (Project for On-Board Autonomy-1 (PROBA-1, Compact High Resolution Imaging Spectrometer) |
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2.4.1.4 PRISMA (PRecursore IperSpettrale Della Missione Applicativa) -- 2.4.1.5 Hyperspectral Imager Suite (HISUI) -- 2.4.1.6 DLR Earth Sensing Imaging Spectrometer (DESIS) -- 2.4.1.7 The Environmental Mapping and Analysis Program (EnMAP) -- 2.4.1.8 Copernicus Hyperspectral Imaging Mission for the Environment (CHIME) -- 2.4.1.9 OrbitalSidekick -- 2.4.1.10 Pixxel -- 2.4.1.11 Other Ventures (Wyvern, HySpeqIQ, Constellr) -- 2.4.2 Airborne Sensors -- 2.4.2.1 Airborne Visible InfraRed Imaging Spectrometer (AVIRIS-Classic) |
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2.4.2.2 Airborne Visible InfraRed Imaging Spectrometer -- Next Generation (AVIRIS-NG) -- 2.4.2.3 The Hyperspectral Thermal Emission Spectrometer (HyTES) -- 2.4.2.4 HyMap -- 2.4.3 Standard Data Sets for Research -- 2.5 Visual Interpretation of Hyperspectral Images -- 2.5.1 Vegetation -- 2.5.2 Soil -- 2.5.3 Impervious Surfaces (Built-Up) -- 2.6 Common Workflow for Hyperspectral Image Processing -- 2.6.1 Convert the Digital Numbers (DN) to Radiances -- 2.6.2 Solar Elevation Angle Correction -- 2.6.3 Convert Radiance to Reflectance -- 2.6.4 Extract the Features |
| Summary |
This book is intended to provide a detailed perspective on techniques and challenges in detecting the urban materials using hyperspectral data including systematic perspective on spectral properties of the materials and methods. It provides in depth information on hyperspectral remote sensing of urban materials including global case studies |
| Notes |
Description based upon print version of record |
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2.6.5 Use Supervised Or Unsupervised Learning Approach |
| Subject |
Remote sensing.
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City planning -- Environmental aspects
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Sustainability.
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remote sensing.
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| Form |
Electronic book
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| Author |
Inamdar, Arun B
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| ISBN |
9781000955118 |
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1000955117 |
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