Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview
Коллективное зондирование: интеграция геопространственных технологий для понимания городских систем — обзор
2011-08-19
SCID: 54.1/523sc9rt
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Collective sensingGeographic Information SystemsObject-based image analysisRemote sensingSensor webs
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Abstract (AI)
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.
Key Findings
1
Integrating these technologies through Open Geospatial Consortium standards could provide a more holistic framework for understanding urban systems.
2
Remote sensing is essential for mapping urban environments but cannot alone provide sufficient understanding of complex urban systems.
3
Such integration extends urban monitoring beyond hard infrastructure to include humans as sensors, mobility, human-environment interactions, and social infrastructure quality of life.
4
The paper identifies remote sensing, geographic information systems, object-based image analysis, and sensor webs as critical complementary geospatial technologies.
5
Urban systems evolve across interacting components and multiple spatio-temporal scales, so no single data source can adequately support their mapping, monitoring, modeling, and management.
Research Object
urban systems
Research Subject
the integrated geospatial sensing, monitoring, mapping, and understanding of urban systems, including human–environment interactions
Publication Details
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2011-08-19
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