Remote sensing of urban areas

Maktav, D.; Erbek, F S; Jürgens, Carsten

doi:10.1080/01431160512331316469

Cited by 146 publications

(78 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…From these studies, it is clear that, especially over the past two decades, the demand for timely urban mapping and monitoring has intensified due to increased access to high-resolution imagery, as well as to worldwide trends to better understand rapid urbanization and its accompanying concerns of environmental impacts and sustainable growth [26][27][28]. This increase in availability and demand also continues to drive urban studies research to exploit remote sensing capabilities to provide detailed data and information to better manage urban growth and its related challenges [29].…”

Section: Progress In Technologymentioning

confidence: 99%

Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview

et al. 2011

View full text Add to dashboard Cite

Cities are complex systems composed of numerous interacting components that evolve over multiple spatio-temporal scales. Consequently, no single data source is sufficient to satisfy the information needs required to map, monitor, model, and ultimately understand and manage our interaction within such urban systems. Remote sensing technology provides a key data source for mapping such environments, but is not sufficient for fully understanding them. In this article we provide a condensed urban perspective of critical geospatial technologies and techniques: (i) Remote Sensing; (ii) Geographic Information Systems; (iii) object-based image analysis; and (iv) sensor webs, and recommend a holistic integration of these technologies within the language of open geospatial consortium (OGC) standards in-order to more fully understand urban systems. We then discuss the potential of this integration and conclude that this extends the monitoring and mapping options beyond "hard infrastructure" by addressing "humans as sensors", mobility and human-environment interactions, and future improvements to quality of life and of social infrastructures.

show abstract

Section: Progress In Technologymentioning

confidence: 99%

Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview

et al. 2011

View full text Add to dashboard Cite

show abstract

“…A number of studies have also shown that remote sensing data and associated techniques are advantageous for classifying, monitoring and analyzing urbanization and its development over time at a range of scales, with an emphasis on mapping large areas at a time [22][23][24]. Urbanization velocity (also called urban expansion speed) is defined as the annual growth rate of urban area within a period.…”

Section: Introductionmentioning

confidence: 99%

Is Spatial Resolution Critical in Urbanization Velocity Analysis? Investigations in the Pearl River Delta

et al. 2017

View full text Add to dashboard Cite

Grid-based urbanization velocity analysis of remote sensing imagery is used to measure urban growth rates. However, it remains unclear how critical the spatial resolution of the imagery is to such grid-based approaches. This research therefore investigated how urbanization velocity estimates respond to different spatial resolutions, as determined by the grid sizes used. Landsat satellite images of the Pearl River Delta (PRD) in China from the years 2000, 2005, 2010 and 2015 were hierarchically aggregated using different grid sizes. Statistical analyses of urbanization velocity derived using different spatial resolutions (or grid sizes) were used to investigate the relationships between socio-economic indicators and the velocity of urbanization for 27 large cities in PRD. The results revealed that those cities with above-average urbanization velocities remain unaffected by the spatial resolution (or grid-size), and the relationships between urbanization velocities and socio-economic indicators are independent of spatial resolution (or grid sizes) used. Moreover, empirical variogram models, the local variance model, and the geographical variance model all indicated that coarse resolution version (480 m) of Landsat images based on aggregated pixel yielded more appropriate results than the original fine resolution version (30 m), when identifying the characteristics of spatial autocorrelation and spatial structure variability of urbanization patterns and processes. The results conclude that the most appropriate spatial resolution for investigations into urbanization velocities is not always the highest resolution. The resulting patterns of urbanization velocities at different spatial resolutions can be used as a basis for studying the spatial heterogeneity of other datasets with variable spatial resolutions, especially for evaluating the capability of a multi-resolution dataset in reflecting spatial structure and spatial autocorrelation features in an urban environment.

show abstract

“…In particular, the increase of impervious surfaces,resulting from rapid urbanization,has been exacerbating the impacts of water flows during the monsoon season, that affects Dhakafrom May to October (Islam Khan, 2000;Islam et al, 2010). In this context, Remote Sensing can allow the monitoring of some ongoing phenomena, which are difficult to assess on a large scale in a different way, by means of change detection techniques (Maktav et al, 2005;Dewan and Yamaguchi, 2009). In this perspective, the present paper aims to provide a contribution to the development of risk assessment and mapping procedures, which can support urban planning and decision making in respect to flooding events.The activity was conducted in collaboration with the non-profit organization ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action), which cooperates with the World Food Programme of United Nations to support the management and planning of interventions in case of disasters (Ajmar et al, 2008;Ajmar et al, 2011), and which provided data and contextualization for this study.…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Urban Growth of Dhaka (Bangladesh) by Satellite Imagery in Flooding Risk Management Perspective

Bitelli

Franci

Mandanici

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:There is large consensus that demographic changes, the lack of appropriate environmental policies and sprawling urbanization result in high vulnerability and exposure to the natural disasters. This work reports some experiences of using multispectral satellite imagery to produce landuse/cover maps for the Dhaka city, the capital of Bangladesh, which is subject to frequent flooding events.The activity was conducted in collaboration with the non-profit organization ITHACA (Information Technology for 2 ) of the entire study area; furthermore these areas became wetlands and farmland over the next three/four months.

show abstract

Remote sensing of urban areas

Cited by 146 publications

References 2 publications

Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview

Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview

Is Spatial Resolution Critical in Urbanization Velocity Analysis? Investigations in the Pearl River Delta

Monitoring the Urban Growth of Dhaka (Bangladesh) by Satellite Imagery in Flooding Risk Management Perspective

Contact Info

Product

Resources

About