Next Article in Journal / Special Issue
Segment-Based Land Cover Mapping of a Suburban Area—Comparison of High-Resolution Remotely Sensed Datasets Using Classification Trees and Test Field Points
Previous Article in Journal
Comprehensive Utilization of Temporal and Spatial Domain Outlier Detection Methods for Mobile Terrestrial LiDAR Data
Previous Article in Special Issue
An Object-Based Classification Approach for Mapping Migrant Housing in the Mega-Urban Area of the Pearl River Delta (China)
Remote Sens. 2011, 3(8), 1743-1776; doi:10.3390/rs3081743
Review

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

1,2,* , 3
,
4
 and
2
Received: 24 June 2011 / Revised: 5 August 2011 / Accepted: 10 August 2011 / Published: 19 August 2011
(This article belongs to the Special Issue Urban Remote Sensing)
Download PDF [3111 KB, uploaded 19 June 2014]

Abstract

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.
Keywords: urban remote sensing; collective sensing; in situ sensing; sensor web; human-environment interactions; future trends; smart city urban remote sensing; collective sensing; in situ sensing; sensor web; human-environment interactions; future trends; smart city
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Blaschke, T.; Hay, G.J.; Weng, Q.; Resch, B. Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview. Remote Sens. 2011, 3, 1743-1776.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert