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Human-Nature Interactions : Exploring Nature's Values Across Landscapes
Human-Nature Interactions : Exploring Nature's Values Across Landscapes
Autore Misiune Ieva
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (434 pages)
Altri autori (Persone) DepellegrinDaniel
Egarter ViglLukas
Soggetto topico Biodiversitat
Medi ambient - Protecció
Ecologia aplicada
Ecologia humana
Efecte del clima sobre l'home
Desenvolupament sostenible
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Human nature interactions
Nature's benefits to society
Science-policy interface
Scale and gradient analyses
Environmental and human impacts
Spatial planning and conservation
Urban Geography and Urbanism
ISBN 3-031-01980-6
Classificazione SCI020000SCI030000TEC010000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580292403321
Misiune Ieva  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Polarimetric Synthetic Aperture Radar : Principles and Application
Polarimetric Synthetic Aperture Radar : Principles and Application
Autore Hajnsek Irena
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (304 pages)
Altri autori (Persone) DesnosYves-Louis
Collana Remote Sensing and Digital Image Processing
Soggetto topico Geographical information systems (GIS) & remote sensing
Other technologies & applied sciences
Teaching of a specific subject
Agricultural science
Forestry & silviculture: practice & techniques
Urban & municipal planning
Soggetto non controllato Remote Sensing/Photogrammetry
Signal, Image and Speech Processing
Science Education
Agriculture
Forestry
Urban Geography / Urbanism (inc. megacities, cities, towns)
Digital and Analog Signal Processing
Urban Geography and Urbanism
Earth Remote Sensing
PolSARpro
Radar Polarimetry
Radar Polarimetry Toolbox
Synthetic Aperture Radar
Open Access
Geographical information systems & remote sensing
Imaging systems & technology
Signal processing
Teaching of a specific subject
Science: general issues
Agricultural science
Forestry & silviculture: practice & techniques
Urban & municipal planning
ISBN 3-030-56504-1
Classificazione SCI030000SCI063000TEC003000TEC003040TEC008000TEC036000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Foreword -- Preface -- Pioneering Space-Borne SAR Interferometry -- Organising Airborne Polarimetric SAR Campaigns and Scientific Studies -- Dialoguing with POLinSAR Scientists and Training the Next Generation -- Pioneering Space-Borne SAR Polarimetric Interferometry -- Future Missions -- From Science to Applications -- Outlook -- In Memoriam -- Contents -- Symbols -- 1: Basic Principles of SAR Polarimetry -- 1.1 Theory of Radar Polarimetry -- 1.1.1 Wave Polarimetry -- 1.1.1.1 Electromagnetic Waves and Wave Polarization Descriptors -- 1.1.1.2 Totally and Partially Polarized Waves -- 1.1.1.3 Change of Polarization Basis -- 1.1.2 Scattering Polarimetry -- 1.1.2.1 The Scattering Matrix -- 1.1.2.2 Scattering Polarimetry Descriptors -- 1.1.2.3 Partial Scattering Polarimetry -- 1.1.2.4 Change of Polarization Basis -- 1.1.2.5 Scatterers Characterization by Single, Dual, Compact and Full Polarimetry -- 1.2 SAR Data Statistical Description and Speckle Noise Filtering -- 1.2.1 One-Dimensional Gaussian Distribution -- 1.2.2 Multidimensional Gaussian Distribution -- 1.2.3 The Wishart Distribution -- 1.2.4 The Polarimetric Covariance and Coherency Matrix -- 1.2.5 The Polarimetric Coherence -- 1.2.6 Polarimetric Speckle Noise Filtering -- 1.2.6.1 PolSAR Speckle Noise Filtering Principles -- 1.2.6.2 PolSAR Speckle Noise Filtering Alternatives -- 1.3 Polarimetric Scattering Decomposition Theorems -- 1.3.1 Coherent Scattering Decomposition Techniques -- 1.3.1.1 The Pauli Decomposition -- 1.3.2 Incoherent Scattering Decompositions Techniques -- 1.3.2.1 Three-Component Freeman Decomposition -- 1.3.2.2 Four-Component Yamaguchi Decomposition -- 1.3.2.3 Non-negative Eigenvalue Decomposition -- 1.3.2.4 Eigenvector-Eigenvalue-Based Decomposition -- 1.3.2.5 The Touzi Target Scattering Decompositions -- 1.4 Polarimetric SAR Interferometry.
1.4.1 SAR Interferometry -- 1.4.2 Algorithms for Optimum Interferogram Generation -- 1.4.3 Model-Based Polarimetric SAR Interferometry -- 1.4.3.1 PolInSAR for Bare Surface Scattering -- 1.4.3.2 PolInSAR for Random Volume Scattering -- 1.4.3.3 PolInSAR Two-Layer Combined Surface and Random Volume Scattering -- 1.5 Polarimetric SAR Tomography -- 1.5.1 TomoSAR and PolTomoSAR as Spectral Estimation Problems: Non-model-Based Adaptive Solutions -- 1.5.2 Model-Based PolTomoSAR -- 1.5.3 Coherence Tomography -- References -- 2: Forest Applications -- 2.1 Introduction -- 2.2 Forest Classification -- 2.2.1 Land Cover Classification in Tropical Lands Using PolSAR -- 2.2.1.1 Introduction, Motivation and Literature Review -- 2.2.1.2 Methodology -- 2.2.1.3 Experimental Results -- 2.2.1.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.2.2 Forest Mapping and Classification Using Polarimetric and Interferometric Data -- 2.2.2.1 Introduction, Motivation and Literature Review -- 2.2.2.2 Methodology -- 2.2.2.3 Experimental Results -- 2.2.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.2.3 Detection of Fire Scars -- 2.2.3.1 Introduction, Motivation and Literature Review -- 2.2.3.2 Methodology -- 2.2.3.3 Experimental Results -- 2.2.3.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.3 Forest Height Estimation -- 2.3.1 Introduction, Motivation and Literature Review -- 2.3.2 Methodology -- 2.3.2.1 Random-Volume-Over-Ground Inversion -- 2.3.2.2 Non-volumetric Decorrelation Contributions -- 2.3.3 Experimental Results -- 2.3.4 Comparison with Single/Dual Polarimetric Data -- 2.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions.
2.4 Forest Vertical Structure Estimation Using Multi-baseline Polarimetric SAR Acquisitions -- 2.4.1 Polarimetric SAR Tomography -- 2.4.1.1 Introduction, Motivation and Literature Review -- 2.4.1.2 Methodology -- 2.4.1.3 Experimental Results -- 2.4.1.4 Comparison with Single/Dual Polarization Data -- 2.4.1.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.4.2 Estimation of Vegetation Structure Parameters -- 2.4.2.1 Introduction, Motivation and Literature Review -- 2.4.2.2 Methodology -- 2.4.2.3 Experimental Results -- 2.4.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.5 Biomass Estimation -- 2.5.1 Biomass Estimation: A Review -- 2.5.1.1 Introduction, Motivation -- 2.5.1.2 Methodology -- 2.5.1.2.1 Direct Biomass Estimation -- 2.5.1.2.2 Model-Based Estimation -- 2.5.1.2.3 Allometric Biomass Estimation -- 2.5.1.3 Experimental Results -- 2.5.1.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.5.2 Biomass Estimation from Semi-empirical Relationships -- 2.5.2.1 Introduction, Motivation and Literature Review -- 2.5.2.2 Methodology -- 2.5.2.3 Experimental Results -- 2.5.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.6 Summary -- References -- 3: Agriculture and Wetland Applications -- 3.1 Introduction -- 3.2 Crop Type Mapping -- 3.2.1 Evaluation of C-Band Polarimetric SAR for Crop Classification -- 3.2.1.1 Introduction, Motivation and Literature Review -- 3.2.1.2 Methodology -- 3.2.1.3 Experimental Results -- 3.2.1.4 Comparison with Single-/Dual-Polarisation Data -- 3.2.1.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.2.2 Crop Classification Using Multitemporal L- and C-Band Airborne Polarimetric SAR.
3.2.2.1 Introduction, Motivation and Literature Review -- 3.2.2.2 Methodology -- 3.2.2.3 Experimental Results -- 3.2.2.4 Comparison with Single-/Dual-Polarisation Data -- 3.2.2.5 Discussion on the Role of Polarimetry on the Maturity of the Application and Conclusions -- 3.3 Soil Moisture Estimation Under Vegetation Using SAR Polarimetry -- 3.3.1 Introduction, Motivation and Literature Review -- 3.3.2 Methodology -- 3.3.3 Experimental Results -- 3.3.4 Comparison with Single-/Dual-Pol Data -- 3.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusion -- 3.4 Crop Phenology Estimation Using SAR Polarimetry -- 3.4.1 Introduction, Motivation and Literature Review -- 3.4.2 Methodology -- 3.4.3 Experimental Results -- 3.4.3.1 Analysis -- 3.4.3.1.1 Cereals -- 3.4.3.1.2 Canola -- 3.4.3.1.3 Field Pea -- 3.4.3.2 Retrieval Algorithms -- 3.4.3.3 Results and Validation -- 3.4.3.3.1 Wheat -- 3.4.3.3.2 Oat -- 3.4.3.3.3 Barley -- 3.4.4 Comparison with Single-/Dual-Polarisation Data -- 3.4.5 Discussion on Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.5 Wetland Observation -- 3.5.1 C-Band Polarimetric Time Series for Delineating and Monitoring Seasonal Dynamics of Wetlands -- 3.5.1.1 Introduction, Motivation and Literature Review -- 3.5.1.2 Methodology -- 3.5.1.3 Experimental Results -- 3.5.1.4 Comparison with Single-/Dual-Polarisation Data -- 3.5.1.5 Discussion on the Role of Polarisation, on the Maturity of the Application and Conclusions -- 3.5.2 Tropical Wetland Characterisation with Polarimetric SAR -- 3.5.2.1 Introduction, Motivation and Literature Review -- 3.5.2.2 Methodology -- 3.5.2.3 Experimental Results -- 3.5.2.4 Comparison with Single-/Dual-Polarisation Data -- 3.5.2.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions.
3.5.3 Subarctic Peatland Characterisation and Monitoring -- 3.5.3.1 Introduction, Motivation and Literature Review -- 3.5.3.2 Experimental Results -- 3.5.3.2.1 La Baie des Mines -- Peatland Hydrology Characteristics for Bog-Fen Discrimination -- Application of the Touzi Decomposition to Polarimetric ALOS Data: Required Processing Window Size for Unbiased ICTD -- Analysis of the ALOS Acquisitions -- Peatland Subsurface Water Flow Monitoring Using Polarimetric May and November ALOS Acquisitions: Multi-polarisation Versus Pol... -- 3.5.3.2.2 Wapusk National Park -- 3.5.3.3 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.5.3.4 Acknowledgement -- 3.6 Monitoring Change Detection Produced by Tsunamis and Earthquakes by Using a Fully Polarimetric Model-Based Decomposition -- 3.6.1 Introduction, Motivation and Literature Review -- 3.6.2 Methodology -- 3.6.3 Experimental Results -- 3.6.4 Comparison with Single-/Dual-Polarisation Data -- 3.6.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.7 Summary (Table 3.13) -- References -- 4: Cryosphere Applications -- 4.1 Introduction -- 4.2 Land Ice Extinction Estimation Using PolInSAR -- 4.2.1 Introduction, Motivation, and Literature Review -- 4.2.2 Methodology -- 4.2.3 Experimental Results -- 4.2.4 Comparison with Single/Dual Polarisation Data -- 4.2.5 Discussion on the Role of Polarimetry, on the Maturity of the Application, and Conclusions -- 4.3 Snow Water Equivalent Retrieval -- 4.3.1 Introduction, Motivation, and Literature Review -- 4.3.2 Methodology -- 4.3.2.1 Polarimetric Decomposition for Snow-Covered Areas -- 4.3.2.2 Snow Water Equivalent Retrieval Algorithm -- 4.3.3 Experimental Results -- 4.3.4 Comparison with Single/Dual Polarisation Data.
4.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions.
Record Nr. UNINA-9910473456003321
Hajnsek Irena  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Regenerative Territories : Dimensions of Circularity for Healthy Metabolisms
Regenerative Territories : Dimensions of Circularity for Healthy Metabolisms
Autore Amenta Libera
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (335 pages)
Altri autori (Persone) RussoMichelangelo
van TimmerenArjan
Collana GeoJournal Library
Soggetto topico Human geography
Plant ecology
Urban & municipal planning
Waste management
Soggetto non controllato Open Access
Circular Economy in Urban Development
Circular Regeneration
Living Labs
Circular Urban Development
Regenerative Territories
Healthy Metabolism
Waste Flows
Sustainability in Contemporary Territories
Spatial Dimension of Circularity
Circular Urban and Territorial Metabolisms
Spatial (re)Development and Regeneration
Urban Planning and Infrastructures
Regeneration of Wastescapes
Urban Geography and Urbanism
ISBN 3-030-78536-X
Classificazione SCI020000SCI026000SCI030000SOC015000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910544863703321
Amenta Libera  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Resilient Urban Futures
Resilient Urban Futures
Autore Hamstead Zoé A
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (195 pages)
Altri autori (Persone) IwaniecDavid M
McPhearsonTimon
Berbés-BlázquezMarta
CookElizabeth M
Muñoz-EricksonTischa A
Collana The Urban Book
Soggetto topico Urban & municipal planning
Climate change
Sustainability
Soggetto non controllato Urban Geography / Urbanism (inc. megacities, cities, towns)
Climate Change/Climate Change Impacts
Sustainable Development
Urban Geography and Urbanism
Earth System Sciences
Environmental Social Sciences
Urban Resilience
Urban Futures
Sustainability Science
Urban Transformation
Future Scenarios
Climate Change
Open Access Urban Book
Urban & municipal planning
Sustainability
ISBN 3-030-63131-1
Classificazione SCI026000SCI030000SCI092000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Acknowledgments -- Contents -- Editors and Contributors -- 1 A Framework for Resilient Urban Futures -- 1.1 Introduction -- 1.2 An Approach to Urban Resilience Research-Practice -- 1.3 Linking the Past, Present, and Future -- References -- 2 How We Got Here: Producing Climate Inequity and Vulnerability to Urban Weather Extremes -- 2.1 Breaking Climatological Records -- 2.2 Urbanization and Extreme Weather Events -- 2.2.1 Urban Industrialization -- 2.2.2 Urban Climatology -- 2.3 Breaking Political Will -- 2.3.1 Liberal Trade Narrative -- 2.3.2 Rational Choice Narrative -- 2.3.3 Global Climate Narrative -- 2.4 Urban Climate Extremes Exacerbate Existing Inequities -- 2.5 Conclusion -- References -- 3 Social, Ecological, and Technological Strategies for Climate Adaptation -- 3.1 Social-Ecological-Technological Systems (SETS) Framework -- 3.2 Content Analysis of Municipal Planning Documents and Governance Strategies in SETS -- 3.2.1 Selecting Municipal Planning Documents -- 3.2.2 Extracting Governance Strategies -- 3.2.3 Labeling Strategies with Levers and Exogenous Drivers -- 3.2.4 The SETS Codebook -- 3.3 Conclusion -- References -- 4 Mapping Vulnerability to Weather Extremes: Heat and Flood Assessment Approaches -- 4.1 Vulnerability Frameworks and Spatial Vulnerability Assessments for Resilience -- 4.1.1 Extreme Heat Vulnerability -- 4.1.2 Flood Vulnerability -- 4.2 Role of Vulnerability Maps -- 4.3 Urban Resilience to Extremes (UREx) Assessments and Mapping Methodologies -- 4.3.1 Vulnerability Assessments -- 4.3.2 Mapping Urban Landscapes -- 4.3.3 Mapping Extreme Event Injustice -- 4.4 Conclusion -- References -- 5 Producing and Communicating Flood Risk: A Knowledge System Analysis of FEMA Flood Maps in New York City -- 5.1 Introduction -- 5.1.1 The National Flood Insurance Program -- 5.1.2 Flood Insurance Rate Maps as a Knowledge System.
5.1.3 Knowledge Systems Analysis -- 5.2 New York City Flood Map Case Study -- 5.3 Discussion and Conclusion -- References -- 6 Positive Futures -- 6.1 Approach -- 6.1.1 A Framework for Positive Futures -- 6.1.2 Development of the UREx SRN Scenarios -- 6.2 Scoping and Framing -- 6.3 Goals and Intervention Strategies -- 6.4 Scenario Specificity -- 6.5 Evaluation and Dissemination -- 6.6 Conclusion -- References -- 7 Setting the Stage for Co-Production -- 7.1 Co-Production to Address Urban Resilience Challenges -- 7.2 Co-Production of Positive Long-Term Visions in the UREx SRN -- 7.3 Elements of Co-Production -- 7.3.1 Process and Outcomes -- 7.3.2 Collective Commitment -- 7.3.3 Credibility and Legitimacy -- 7.3.4 Diversity of Perspectives -- 7.4 Confronting the Challenges of Co-Production -- 7.4.1 Power Dynamics -- 7.4.2 Short-Term Needs and Long-Term Thinking -- 7.4.3 Clear Expectations -- 7.4.4 Inclusivity and Retention -- 7.5 Moving Co-Production Forward -- References -- 8 Assessing Future Resilience, Equity, and Sustainability in Scenario Planning -- 8.1 An Instrument for Assessment -- 8.1.1 Defining Resilience, Equity, Sustainability -- 8.1.2 Qualitative Assessment-How It Works -- 8.2 Comparing Drought and Heat Scenarios -- 8.2.1 Identifying Key Components -- 8.2.2 Assessing Resilience-Building Mechanisms -- 8.2.3 Assessing Sustainability and Equity -- 8.3 Discussion and Conclusion -- References -- 9 Modeling Urban Futures: Data-Driven Scenarios of Climate Change and Vulnerability in Cities -- 9.1 Data-Driven Models of Urban Land Use and Climate Hazards -- 9.2 Land Surface Temperature Projections in Cities -- 9.2.1 Surface Temperature Projections at City Scales: New York City Case Study -- 9.3 Urban Flooding -- 9.4 Modeling Future Land Use/Cover Change Scenarios -- 9.4.1 Land Use/Cover Scenarios Modeling: San Juan, Puerto Rico Case Study.
9.4.2 San Juan Simulation Results -- 9.5 Conclusion -- References -- 10 Visualizing Urban Social-Ecological-Technological Systems -- 10.1 The USL Dataviz Platform -- 10.2 Representation of Space -- 10.3 Visualization Concepts -- 10.4 Application Stack -- 10.5 Conclusion -- References -- 11 Anticipatory Resilience Bringing Back the Future into Urban Planning and Knowledge Systems -- 11.1 Introduction -- 11.2 The Challenge of Deep Climate Uncertainty -- 11.3 Limits of Risk-Based Knowledge Systems -- 11.4 Toward More Anticipatory Resilience -- 11.4.1 Portfolio of Future-Based Knowledge Systems -- 11.5 Examples of Knowledge Systems Interventions to Build Anticipatory Resilience -- 11.6 Conclusion -- References -- 12 A Vision for Resilient Urban Futures -- 12.1 Bringing Positive Futures into Research and Practice -- 12.2 Thinking in Systems -- 12.3 Future-Making as Privilege -- 12.4 Developing an Urban Systems Science and Urban Systems Practice -- 12.5 Positive Visioning for Resilience and Transformation -- References -- Correction to: Modeling Urban Futures: Data-Driven Scenarios of Climate Change and Vulnerability in Cities -- Correction to: Chapter 9 in: Z. A. Hamstead et al. (eds.), Resilient Urban Futures, The Urban Book Series, https://doi.org/10.1007/978-3-030-63131-49 -- Index.
Record Nr. UNINA-9910473454303321
Hamstead Zoé A  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Urban Informatics
Urban Informatics
Autore Shi Wenzhong
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (928 pages)
Disciplina 307.76
Altri autori (Persone) GoodchildMichael F
BattyMichael
KwanMei-Po
ZhangAnshu
Collana The Urban Book
Soggetto topico Human geography
Computer networking & communications
Information technology: general issues
Geography
Soggetto non controllato Human Geography
Information Systems and Communication Service
Computer Applications
Geography, general
Urban Geography and Urbanism
Database Management System
Geographical Information System
Urban informatics
Urban science
GIS
Urban computing
Sensing
Big data
Smart cities
Spatial data infrastructure
Big data analytics
Data-driven geography
Open access
Computer networking & communications
Information technology: general issues
Geography
ISBN 981-15-8983-6
Classificazione COM018000COM069000SCI030000SOC015000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Acknowledgements -- Contents -- About the Editors -- 1 Overall Introduction -- 1.1 Defining Urban Informatics -- 1.2 The Background: The Origins of Urban Informatics -- 1.3 Structure of the Book -- 1.4 Retrospective and Prospective -- References -- Part IDimensions of Urban Science -- 2 Introduction to Urban Science -- 3 Defining Urban Science -- 3.1 A Science of Cities -- 3.2 City Systems and Systems of Cities -- 3.3 Urban Growth: Urbanization from the Bottom Up -- 3.4 Scale and Size, Networks, and Flows -- 3.5 The Development of Operational Urban Models -- 3.6 Future Directions in Urban Informatics -- References -- 4 Street View Imaging for Automated Assessments of Urban Infrastructure and Services -- 4.1 Introduction -- 4.2 Data Collection and Object Localization -- 4.3 Deriving Urban Functions from Object Statistics -- 4.4 Discussion -- References -- 5 Urban Human Dynamics -- 5.1 Introduction -- 5.2 Urban Dynamics -- 5.2.1 Cellular Automata for Urban Dynamics Research -- 5.2.2 Other Urban Dynamics Approaches -- 5.3 Human Dynamics -- 5.3.1 Effects of Information and Communications Technologies on Human Dynamics -- 5.3.2 Time Geography -- 5.3.3 Big Data and Space-Time GIS for Human Dynamics Research -- 5.3.4 Some Other Examples Human Dynamics Studies -- 5.4 Urban Human Dynamics and Urban Informatics -- References -- 6 Geosmartness for Personalized and Sustainable Future Urban Mobility -- 6.1 Introduction -- 6.2 Geosmartness -- 6.3 Analyzing Urban-Mobility Patterns -- 6.3.1 Data -- 6.3.2 Computational Methods for Large-Scale Spatio-temporal Mobility-Pattern Analysis -- 6.3.3 Studies -- 6.3.4 SBB Green Class (Multi-modal and Energy-Efficient Mobility) -- 6.4 Behavioral Change and Sustainable Mobility -- 6.4.1 Motivation -- 6.4.2 Detecting and Supporting Behavioral Change -- 6.4.3 Studies -- 6.4.4 GoEco! -- 6.5 Mobile Decision Making.
6.5.1 Mobile Eye-Tracking and Gaze-Based Interaction -- 6.5.2 Personalized Gaze-Based Decision Support -- 6.6 Conclusions and Future Work -- References -- 7 Urban Metabolism -- 7.1 Introduction -- 7.2 History of Urban Metabolism -- 7.3 Methods of Urban Metabolism -- 7.3.1 Bottom-Up Methods -- 7.3.2 Top-Down Methods -- 7.3.3 Hybrid Methods -- 7.4 A Case Study: The Metabolism of Singapore -- 7.5 Urban Metabolism Applications, Challenges, and Opportunities -- 7.6 Conclusions -- References -- 8 Spatial Economics, Urban Informatics, and Transport Accessibility -- 8.1 Introduction -- 8.2 Intellectual Context -- 8.3 Econometric Models -- 8.3.1 Isotropic Versus Hierarchical Market Linkages for Economic Mass (EM) Computation -- 8.3.2 Control Variables -- 8.3.3 Representing Spatial Spillover Effects -- 8.4 Data -- 8.5 Model Test Results -- 8.6 Discussions -- 8.7 Conclusions -- References -- 9 Conceptualizing the City of the Information Age -- 9.1 Introduction -- 9.1.1 Urban Complexity in the Age of Information and Communication Technologies -- 9.1.2 A Different Kind of City -- 9.1.3 The Smart City -- 9.1.4 Urban Informatics -- 9.2 Urban Research and Planning, Yesterday, and Tomorrow -- 9.2.1 The City as Place -- 9.2.2 The City as Node on a Network -- 9.2.3 Planning the City -- 9.3 Speculations -- 9.3.1 The Robotic Era? -- 9.3.2 The City's Epistemic Planes -- 9.4 Conclusion -- References -- Part IIUrban Systems and Applications -- 10 Introduction to Urban Systems and Applications -- 11 Characterizing Urban Mobility Patterns: A Case Study of Mexico City -- 11.1 Introduction -- 11.2 Data Collection of POIs -- 11.2.1 Parsing Algorithm -- 11.3 Spatial Distribution of POIs -- 11.3.1 Extended Radiation Model for Human Mobility -- 11.3.2 Results -- 11.4 Analyzing Human Mobility by Mode of Transportation -- 11.4.1 Detected Mobility Groups -- 11.5 Conclusions.
References -- 12 Laboratories for Research on Freight Systems and Planning -- 12.1 Introduction -- 12.2 Future Mobility Sensing, a Behavioral Laboratory -- 12.2.1 Background -- 12.2.2 FMS Architecture -- 12.2.3 Applications -- 12.3 SimMobility, a Simulation Laboratory -- 12.3.1 Background -- 12.3.2 SimMobility Architecture -- 12.3.3 Applications -- 12.4 Demonstrations -- 12.4.1 Freight-Vehicle Route-Choice Model -- 12.4.2 Quantification of Model Performance -- 12.4.3 Replication of Specific Freight and Non-Freight-Vehicle Tours -- 12.5 Concluding Remarks -- References -- 13 Urban Risks and Resilience -- 13.1 Introduction -- 13.2 Risks, Exposure, and Vulnerability -- 13.3 Urban Resilience and Capacities -- 13.3.1 The Definitional Quagmire -- 13.3.2 Objects of Analysis -- 13.4 Measurement and Assessment Informatics -- 13.5 Science Informs Practice and Practice Informs Science -- 13.6 Moving Forward -- References -- 14 Urban Crime and Security -- 14.1 Introduction -- 14.2 Urban Crime -- 14.2.1 Historical Roots in Understanding Urban Crime: An Environmental Perspective -- 14.2.2 Theoretical Concepts in Environmental Criminology -- 14.3 Urban Security -- 14.3.1 Fear of Crime in Urban Areas -- 14.3.2 Implementation of Crime Prevention -- 14.4 Latest Tools in Urban Crime Analysis and Security -- 14.4.1 Crime Hotspot Mapping: From Retrospective Analysis to Prediction -- 14.4.2 Advanced Police Patrolling Strategies -- 14.5 Intelligent Data-Driven Policing -- 14.6 Summary -- References -- 15 Urban Governance -- 15.1 Transparency and City Open Data -- 15.1.1 Open Data Platforms -- 15.1.2 Open Data and Accountability -- 15.1.3 Why Are Goals Important? -- 15.1.4 Dashboards and Performance Indicators -- 15.2 Algorithmic Decision-Making -- 15.2.1 Positioning Algorithms -- 15.2.2 Challenges for Operationalizing Algorithms -- 15.3 Conclusion -- References.
16 Urban Pollution -- 16.1 Monitoring Air Quality in Urban Areas -- 16.2 Remote Sensing of the Urban Heat Island -- 16.2.1 Spatial Resolution of Satellite Sensors Related to Scales of Urban Climate -- 16.2.2 Relationship Between Surface Temperature and Air Temperature -- 16.2.3 Time of Imaging in Relation to Heat Island Maximum -- 16.2.4 Anisotropy of the Satellite View -- 16.2.5 The Need for Emissivity and Atmospheric Correction -- 16.3 Monitoring Water Quality Along Urban Coastlines -- References -- 17 Urban Health and Wellbeing -- 17.1 Smart Cities and Health -- 17.2 Data -- 17.2.1 Big Data -- 17.2.2 Individual and Population Data -- 17.2.3 Environmental Data -- 17.3 Methods and Techniques -- 17.4 BERTHA Studies -- 17.4.1 AirGIS -- 17.4.2 Personalized Tracking and Sensing -- 17.4.3 Personalized Air-Pollution Sensors -- 17.4.4 Mental Health -- 17.4.5 Physical Activity -- 17.4.6 Danish Blood-Donor Study -- 17.5 Privacy -- 17.6 Conclusions -- References -- 18 Urban Energy Systems: Research at Oak Ridge National Laboratory -- 18.1 Introduction -- 18.2 Population and Land Use -- 18.2.1 Big Data and GeoAI to Create Population and Land-Use Data -- 18.2.2 Estimating Urban Electricity Use in Data-Poor Regions -- 18.2.3 Estimating Household-Level Energy Consumption -- 18.3 Sustainable Mobility -- 18.3.1 Human Interactions with Transportation Systems -- 18.3.2 Emerging Options for Freight Delivery for Businesses -- 18.4 Energy-Water Nexus -- 18.5 Urban Resiliency -- 18.5.1 Renewable Energy-Infrastructure Assessment -- 18.5.2 Optimizing Energy and Safety Through Precision De-icing -- 18.6 Situational Awareness of National Energy Infrastructure -- 18.7 Conclusion -- References -- Part IIIUrban Sensing -- 19 Introduction to Urban Sensing -- 20 Optical Remote Sensing -- 20.1 Introduction -- 20.2 History of Optical Remote Sensing.
20.3 Latest Developments in Optical Remote Sensing -- 20.3.1 Introduction to Representative Optical Satellite Sensors -- 20.4 Processing of Remote Sensing Satellite Images -- 20.4.1 Image Pre-processing -- 20.4.2 Image Processing -- 20.4.3 Image Post-Processing -- 20.5 Applications of Optical Remote Sensing -- 20.5.1 Land-Use and Land-Cover Mapping -- 20.5.2 Urban Vegetation Phenology -- 20.5.3 Urban Heat Island Mapping -- 20.5.4 Rock Outcrops Identification -- 20.6 Summary -- References -- 21 Urban Sensing with Spaceborne Interferometric Synthetic Aperture Radar -- 21.1 Synthetic Aperture Radar -- 21.2 Interferometric Synthetic Aperture Radar -- 21.3 Multi-temporal InSAR (MTInSAR) -- 21.4 Applications in Urban Areas -- 21.4.1 Construction of Fine Resolution DEM -- 21.4.2 Subsidence Measurement -- 21.4.3 Monitoring Stability of Infrastructures -- 21.5 Summary -- References -- 22 Airborne LiDAR for Detection and Characterization of Urban Objects and Traffic Dynamics -- 22.1 Introduction -- 22.2 Detection of Urban Objects with ALS and Co-registered Imagery -- 22.2.1 General Strategy -- 22.2.2 Feature Derivation -- 22.2.3 AdaBoost Classification -- 22.3 Detection of Urban Traffic Dynamics with ALS Data -- 22.3.1 Artifacts Effect of Vehicle Motion in ALS Data -- 22.3.2 Detection of Moving Vehicles -- 22.3.3 Concept for Vehicle Velocity Estimation with ALS Data -- 22.4 Experiments and Results -- 22.4.1 Detection of Urban Objects with ALS Data Associated with Aerial Imagery -- 22.4.2 Accuracy Prediction for Vehicle Velocity Estimation Using ALS Aata -- 22.5 Summary -- References -- 23 Photogrammetry for 3D Mapping in Urban Areas -- 23.1 Introduction -- 23.2 Fundamentals of Photogrammetry -- 23.2.1 Image Orientation -- 23.2.2 Bundle Adjustment -- 23.2.3 Image Matching -- 23.3 Advances in Photogrammetry for 3D Mapping in Urban Areas.
23.3.1 Structure from Motion and Multi-view Stereo.
Record Nr. UNINA-9910473454103321
Shi Wenzhong  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Urbanization, biodiversity and ecosystem services : challenges and opportunities : a global assessment / / edited by Thomas Elmqvist, Michail Fragkias, Julie Goodness, Burak Güneralp, Peter J. Marcotullio, Robert I. McDonald, Susan Parnell, Maria Schewenius, Marte Sendstad, Karen C. Seto, Cathy Wilkinson
Urbanization, biodiversity and ecosystem services : challenges and opportunities : a global assessment / / edited by Thomas Elmqvist, Michail Fragkias, Julie Goodness, Burak Güneralp, Peter J. Marcotullio, Robert I. McDonald, Susan Parnell, Maria Schewenius, Marte Sendstad, Karen C. Seto, Cathy Wilkinson
Autore Elmqvist Thomas
Edizione [First edition, 2013.]
Pubbl/distr/stampa Springer Nature, 2013
Descrizione fisica 1 online resource (xxviii, 755 pages) : colour illustrations; digital, PDF file(s)
Disciplina 577.56
Soggetto topico Urban ecology (Biology)
Urban planning
City planning
Sustainable development
System theory
International environmental law
Soggetto non controllato Urban Ecology
Urbanism
Sustainable Development
Complex Systems
Science, Humanities and Social Sciences, multidisciplinary
International Environmental Law
Urban Geography and Urbanism
Environmental Social Sciences
Humanities and Social Sciences
Biodiversity
Challenges
Ecosystem services
Opportunities
Urbanization
Ecological science, the Biosphere
Urban & municipal planning
Sustainability
Applied mathematics
Interdisciplinary studies
Public international law: environment
ISBN 94-007-7088-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. A global outlook on urbanization -- 2. History of urbanization and the missing ecology -- 3. Urbanization and global trends in biodiversity and ecosystem services -- 4. Regional assessment of Asia.- 5. Sub-regional assessment of China: Urbanization in biodiversity hotspots -- 6. Sub-regional assessment of India -- 7. Local assessment of Bangalore.- 8. Local assessment of Tokyo -- 9. Local assessment of Shanghai -- 10. Patterns and trends in urban biodiversity and landscape design -- 11. Urban ecosystem services.- 12. Shrinking cities, biodiversity and ecosystem services -- 13. Regional assessments of Europe -- 14. Regional assessment of North America -- 15. Regional assessment of Oceania -- 16. Local assessment of Istanbul: Biodiversity and ecosystem services -- 17. Local assessment of Stockholm -- 18. Local assessment of Chicago -- 19. Local assessment of New York City.-20. Local assessment of Melbourne -- 21. A synthesis of global urbanization projections -- 22. Urbanization forecasts, effects on land use, biodiversity, and ecosystem services -- 23. Regional assessment of Africa -- 24. Local assessment of Cape Town.- 25. Climate change and urban biodiversity vulnerability -- 26. Feeding cities -- 27. Urban governance of biodiversity and ecosystem services -- 28. Regional assessment of Latin America -- 29. Local assessment of Rio de Janeiro.- 30. Urban landscapes as learning arenas for biodiversity and ecosystem services management -- 31. Restoration ecology in an urbanizing world -- 32. Indicators for management of urban biodiversity and ecosystem services -- 33. Stewardship of the Biosphere in the Urban Era.
Record Nr. UNINA-9910132055903321
Elmqvist Thomas  
Springer Nature, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Urbanization, biodiversity and ecosystem services : challenges and opportunities : a global assessment / / edited by Thomas Elmqvist, Michail Fragkias, Julie Goodness, Burak Güneralp, Peter J. Marcotullio, Robert I. McDonald, Susan Parnell, Maria Schewenius, Marte Sendstad, Karen C. Seto, Cathy Wilkinson
Urbanization, biodiversity and ecosystem services : challenges and opportunities : a global assessment / / edited by Thomas Elmqvist, Michail Fragkias, Julie Goodness, Burak Güneralp, Peter J. Marcotullio, Robert I. McDonald, Susan Parnell, Maria Schewenius, Marte Sendstad, Karen C. Seto, Cathy Wilkinson
Autore Elmqvist Thomas
Edizione [First edition, 2013.]
Pubbl/distr/stampa Springer Nature, 2013
Descrizione fisica 1 online resource (xxviii, 755 pages) : colour illustrations; digital, PDF file(s)
Disciplina 577.56
Soggetto topico Urban ecology (Biology)
Urban planning
City planning
Sustainable development
System theory
International environmental law
Soggetto non controllato Urban Ecology
Urbanism
Sustainable Development
Complex Systems
Science, Humanities and Social Sciences, multidisciplinary
International Environmental Law
Urban Geography and Urbanism
Environmental Social Sciences
Humanities and Social Sciences
Biodiversity
Challenges
Ecosystem services
Opportunities
Urbanization
Ecological science, the Biosphere
Urban & municipal planning
Sustainability
Applied mathematics
Interdisciplinary studies
Public international law: environment
ISBN 94-007-7088-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. A global outlook on urbanization -- 2. History of urbanization and the missing ecology -- 3. Urbanization and global trends in biodiversity and ecosystem services -- 4. Regional assessment of Asia.- 5. Sub-regional assessment of China: Urbanization in biodiversity hotspots -- 6. Sub-regional assessment of India -- 7. Local assessment of Bangalore.- 8. Local assessment of Tokyo -- 9. Local assessment of Shanghai -- 10. Patterns and trends in urban biodiversity and landscape design -- 11. Urban ecosystem services.- 12. Shrinking cities, biodiversity and ecosystem services -- 13. Regional assessments of Europe -- 14. Regional assessment of North America -- 15. Regional assessment of Oceania -- 16. Local assessment of Istanbul: Biodiversity and ecosystem services -- 17. Local assessment of Stockholm -- 18. Local assessment of Chicago -- 19. Local assessment of New York City.-20. Local assessment of Melbourne -- 21. A synthesis of global urbanization projections -- 22. Urbanization forecasts, effects on land use, biodiversity, and ecosystem services -- 23. Regional assessment of Africa -- 24. Local assessment of Cape Town.- 25. Climate change and urban biodiversity vulnerability -- 26. Feeding cities -- 27. Urban governance of biodiversity and ecosystem services -- 28. Regional assessment of Latin America -- 29. Local assessment of Rio de Janeiro.- 30. Urban landscapes as learning arenas for biodiversity and ecosystem services management -- 31. Restoration ecology in an urbanizing world -- 32. Indicators for management of urban biodiversity and ecosystem services -- 33. Stewardship of the Biosphere in the Urban Era.
Record Nr. UNISA-996198791903316
Elmqvist Thomas  
Springer Nature, 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui