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2010 | Buch

Urban and Suburban Areas as a Research Topic for Remote Sensing Kapitel lesen Erstes Kapitel lesen

Remote Sensing of Urban and Suburban Areas

herausgegeben von: Tarek Rashed, Carsten Jürgens

Verlag: Springer Netherlands

Buchreihe : Remote Sensing and Digital Image Processing

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

"Remote Sensing of Urban and Suburban Areas" provides instructors with a text reference that has a logical and easy-to-follow flow of topics around which they can structure the syllabi of their urban remote sensing courses. Topics have been chosen to bridge the gap between remote sensing and urban studies through a better understanding of the science that underlies both fields. In so doing, the book includes 17 chapters written by leading international experts in respected fields to provide a balanced coverage of fundamental issues in both remote sensing and urban studies. Emphasis is placed on: theoretical and practical issues in contemporary urban studies and remote sensing; the spectral, spatial and temporal requirements of remotely sensed data in relation to various urban phenomena; methods and techniques for analyzing and integrating remotely sensed data and image processing with geographic information systems to address urban problems; and examples of applications in which applying remote sensing to tackle urban problems is deemed useful and important.

Inhaltsverzeichnis

Frontmatter

Urban and Suburban Areas as a Research Topic for Remote Sensing

Chapter 1. Urban and Suburban Areas as a Research Topic for Remote Sensing
Abstract
This chapter provides an introduction into the book’s theme, its relevance for the scientific community as well as for instructors and practitioners. It tries to give an umbrella for the topics that have been chosen to bridge the gap between remote sensing and urban studies through a better understanding of the science that underlies both fields. In so doing, in the second half this first chapter introduces the following 16 chapters written by leading international experts in respected fields to provide a balanced coverage of fundamental issues in both remote sensing and urban studies.
Maik Netzband, Carsten Jürgens

Theoretical Aspects

Frontmatter
Chapter 2. The Structure and Form of Urban Settlements
Abstract
This chapter introduces you to the different theoretical and methodological approaches to the understanding and measuring of urban growth and urban patterns. Particular attention is given to urban sprawl as one of the forms of suburbanization. Urban sprawl today represents a challenge for both scientists and decision makers, due to the complexity of its generative processes and impacts. In this chapter, we introduce ways of measuring the spatial pattern of sprawl noting how remotely sensed imagery need to be integrated with spatial socioeconomic data, and how this integration is essential in making accurate interpretations of very different urban morphologies.
Elena Besussi, Nancy Chin, Michael Batty, Paul Longley
Chapter 3. Defining Urban Areas
Abstract
What is an urban area? How do we know it when we see it? And how do we measure the concept of urban, so that we can study it? This chapter reviews the many dimensions of urbanness in an attempt to synthesize the vast literature that exists on the topic, but focuses especially on issues of classifying places as urban or rural in such a way that changes over time in the characteristics of a place can be adequately captured by the researcher.
John R. Weeks
Chapter 4. The Spectral Dimension in Urban Remote Sensing
Abstract
Urban environments are characterized by different types of materials and land cover surfaces than found in natural landscapes. The analysis of remote sensing data has to consider these unique spectral characteristics. This chapter describes the spectral properties of urban areas, how different urban land cover types are spectrally discriminated, and which sensor configurations are most useful to map urban areas. We also show how new remote sensing technologies improve our capabilities to map urban areas in high spatial and thematic detail.
Martin Herold, Dar A. Roberts
Chapter 5. The Spatial and Temporal Nature of Urban Objects
Abstract
The purpose of this chapter is to examine, from an application perspective, the utility of remote sensing to collect data on urban and suburban areas for Urban Planning and Management (UPM). Specifically, the chapter discusses the use of remote sensing at two different spatial levels, the information needs with respect to monitoring planned and unplanned development, and the optimal spatial and temporal requirements for images used in this regard.
Richard Sliuzas, Monika Kuffer, Ian Masser
Chapter 6. The V-I-S Model: Quantifying the Urban Environment
Abstract
This chapter emphasizes the ecological nature of urban places and introduces the V-I-S (Vegetation-Impervious surface-Soil) model for use by remote sensing to characterize, map, and quantify the ecological composition of urban/peri-urban environments. The model serves not only as a basis for biophysical and human system analysis, but also serves as a basis for detecting and measuring morphological/environmental change of urban places over time.
Renee M. Gluch, Merrill K. Ridd

Techniques and Applications

Frontmatter
Chapter 7. A Survey of the Evolution of Remote Sensing Imaging Systems and Urban Remote Sensing Applications
Abstract
The increasingly diverse nature of sensor systems and imagery products, as well as their commercial availability, have led to a broad set of applications resulting in rich, interdisciplinary topics that come under the umbrella of urban remote sensing. This chapter reviews the development of remote sensing systems, their contribution to the emergence of urban remote sensing, and how they have given rise to the pursuit of novel approaches to the study of urban environments.
Debbie Fugate, Elena Tarnavsky, Douglas Stow
Chapter 8. Classification of Urban Areas: Inferring Land Use from the Interpretation of Land Cover
Abstract
Ancillary data are vital for successful image classification of urban areas. This chapter explores the role of ancillary data (information from beyond remote sensing) for improving the contextual interpretation of satellite sensor imagery during spectral-based and spatial-based classification. In addition, careful consideration is given to the crucial distinctions between urban land cover and urban land use, and how the inherent heterogeneous structure of urban morphologies is statistically represented between hard and soft classifications.
Victor Mesev
Chapter 9. Processing Techniques for Hyperspectral Data
Abstract
The basic knowledge about the differences between multi- and hyperspectral data is provided and the potential of hyperspectral image analysis is highlighted. Relevant pre-processing steps and different ways to analyze hyperspectral data are presented. The chapter closes with a short outlook on expected developments with relevance for urban applications.
Patrick Hostert
Chapter 10. Segmentation and Object-Based Image Analysis
Abstract
This chapter focuses on segmentation of remotely sensed image data and object-based image analysis. It discusses the differences between pixel-based and object-based image analysis; the potential of the object-based approach; and, the application of eCognition software for performing image segmentation and classification at different levels of detail.
Elisabeth Schöpfer, Stefan Lang, Josef Strobl
Chapter 11. Data Fusion in Remote Sensing of Urban and Suburban Areas
Abstract
This chapter focuses on techniques related to image fusion and data fusion from different sources with varying spatial and spectral resolutions, and presents and discusses some of the technical issues that influence data fusion in the urban context.
Thierry Ranchin, Lucien Wald
Chapter 12. Characterization and Monitoring of Urban/Peri-urban Ecological Function and Landscape Structure Using Satellite Data
Abstract
This chapter utilizes a case study from Phoenix, Arizona to examine the relationships between ecological variables and landscape structure in cities. The relationships are assessed using ASTER and MODIS data; and through the techniques of expert system land cover classification and grid-based landscape metric analysis.
William L. Stefanov, Maik Netzband
Chapter 13. Remote Sensing of Desert Cities in Developing Countries
Abstract
This chapter focuses on remote sensing (RS) of desert cities, with a special focus on the developing countries context. It introduces the reader to the characteristics of urban areas in the desert environment, and discusses the potential of satellite imagery and how they are used to map and monitor changes in these areas over space and time.
Mohamed Ait Belaid
Chapter 14. Remote Sensing of Urban Environmental Conditions
Abstract
Surface temperature and vegetation abundance are two environmental conditions that can be accurately measured from satellites. This chapter gives an overview of the following: (1) urbanization and the urban environment; (2) urban vegetation, surface temperature and public health issues; (3) techniques for urban vegetation mapping; (4) urban thermal mapping; and (5) comparison of urban vegetation and surface temperature and their impact on environmental conditions in New York City and Kuwait City.
Andy Kwarteng, Christopher Small
Chapter 15. Remote Sensing of Urban Land Use Change in Developing Countries: An Example from Büyükçekmece, Istanbul, Turkey
Abstract
This application chapter discusses rural–urban land use changes in developing countries using Büyükçekmece, a suburb of Istanbul, Turkey, as an example. Specifically, this chapter demonstrates the utility of remote sensing techniques, multitemporal satellite data, a 1984–1997 population database, and ground data to illustrate the impact of urban growth on land cover and land use changes in general and on agricultural land in particular.
Derya Maktav, Filiz Sunar
Chapter 16. Using Satellite Images in Policing Urban Environments
Abstract
This chapter discusses the role of remote sensing technology in the monitoring and management of security in cities and in assuring the timely policing of urban environments. The chapter presents application examples from the Dubai’s Police in the United Arab Emirates to show how the utilization of geo-referenced satellite images on top of GIS platforms can allow the immediate location of the needed response.
Meshgan Mohammad Al-Awar, Farouk El-Baz
Chapter 17. Using DMSP OLS Imagery to Characterize Urban Populations in Developed and Developing Countries
Abstract
Nighttime Satellite imagery shows great potential for mapping and monitoring many human activities including: (1) population size, distribution, and growth, (2) urban extent and rates of urbanization, (3) impervious surface, (4) energy consumption, and (5) CO2 emissions. Surprisingly the relatively coarse spectral, spatial, and temporal resolution of the imagery proves to be an advantage rather than a disadvantage for these applications.
Paul C. Sutton, Matthew J. Taylor, Christopher D. Elvidge
Backmatter
Metadaten
Titel
Remote Sensing of Urban and Suburban Areas
herausgegeben von
Tarek Rashed
Carsten Jürgens
Copyright-Jahr
2010
Verlag
Springer Netherlands
Electronic ISBN
978-1-4020-4385-7
Print ISBN
978-1-4020-4371-0
DOI
https://doi.org/10.1007/978-1-4020-4385-7

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