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Urban heat island modeling for tropical climates
Author
Title
Urban heat island modeling for tropical climates [electronic resource] / Ansar Khan, Soumendu Chatterjee, Yupeng Wang.
ISBN
9780128225585
0128225580
9780128196694
0128196696
Publication
Amsterdam, Netherlands ; Cambridge, MA : Elsevier, [2021]
Physical Description
1 online resource.
Local Notes
Access is available to the Yale community.
Notes
Electronic reproduction. Amsterdam Available via World Wide Web.
Description based on online resource; title from digital title page (viewed on February 24, 2021).
Access and use
Access restricted by licensing agreement.
Variant and related titles
Urban heat island modelling for tropical climates
Other formats
Print version:
Print version:
Format
Books / Online
Language
English
Added to Catalog
March 12, 2021
Contents
Front Cover
Urban Heat Island Modeling for Tropical Climates
Urban Heat Island Modeling for Tropical Climates
Copyright
Dedication
Contents
Foreword
Acknowledgments
Summary
Abbreviations and Acronyms
Mathematical Notations
1
Context and background of urban heat island
1.1 Introduction
1.2 Describing the review of literature
1.2.1 Geography of urban heat island studies
1.2.2 Evaluating the primary literatures
1.2.2.1 Thermal remote sensing and urban heat island research
1.2.2.2 Urban heat island factors and drivers
1.2.2.3 City-scale urban heat island research
1.3 Indian scenario
1.4 Case study: tropical Kolkata
1.5 Conceptual framework of urban heat island
1.6 Purpose of this book
1.7 Research premises
1.8 Book design and methodological overview
1.9 Limitations
1.10 Organization of the book
1.11 Conclusions
References
2
Characterizing thermal fields and evaluating UHI effects
2.1 Introduction
2.2 Approaches to LST modeling
2.3 Database and image preprocessing
2.3.1 Landsat 5 thematic mapper
2.3.2 Landsat 8 thermal infrared sensor
2.6.2 Seasonal characteristics of thermal field
2.6.3 Evolution of thermal landscape
2.7 Conclusions
References
3
UHI drivers and mapping the urban thermal environment
3.1 Introduction
3.2 Urban heat island drivers and preparation of spatial database
3.2.1 Socioeconomic drivers
3.2.1.1 Population distribution
3.2.1.2 Land use and land cover
3.2.2 Structural drivers
3.2.2.1 Building materials
3.2.2.2 Building height
3.2.2.3 Building age
3.2.2.4 Building association
3.2.3 Radiative drivers
3.2.3.1 Building roof
3.2.3.2 Building roof reflectance
3.2.3.3 Road pavements
3.2.4 Accuracy assessment
3.3 Factor-based urban heat island modeling
3.3.1 Preparation of urban heat island inventory map and training and validation data set
3.3.2 Analytical hierarchy process model and urban heat island zonation
3.3.3 Kernel logistic regression model and urban heat island zonation
3.3.4 Support vector machine model and urban heat island zonation
3.3.5 Spatial multicriteria evaluation model and urban heat island zonation
3.4 Model evaluation, assessment, and performance
3.4.1 Comparison of city-scale urban heat island models
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