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Remote Sens. 2014, 6(12), 12723-12751; doi:10.3390/rs61212723

Validating the Remotely Sensed Geography of Crime: A Review of Emerging Issues

Department of Environmental Science, Policy and Management, University of California, Berkeley, 130 Mulford Hall #3110, Berkeley, CA 94720-3114, USA
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Received: 19 September 2014 / Revised: 18 November 2014 / Accepted: 19 November 2014 / Published: 18 December 2014
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Abstract

This paper explores the existing literature on the active detection of crimes using remote sensing technologies. The paper reviews sixty-one studies that use remote sensing to actively detect crime. Considering the serious consequences of misidentifying crimes or sites of crimes (e.g., opening that place and its residents up to potentially needless intrusion, intimidation, surveillance or violence), the authors were surprised to find a lack of rigorous validation of the remote sensing methods utilized in these studies. In some cases, validation was not mentioned, while in others, validation was severely hampered by security issues, rough terrain and weather conditions. The paper also considers the potential hazards of the use of Google Earth to identify crimes and criminals. The paper concludes by considering alternate, “second order” validation techniques that could add vital context and understanding to remotely sensed images in a law enforcement context. With this discussion, the authors seek to initiate a discussion on other potential “second order” validation techniques, as well as on the exponential growth of surveillance in our everyday lives. View Full-Text
Keywords: remote sensing; crime; validation; accuracy assessment; Google Earth remote sensing; crime; validation; accuracy assessment; Google Earth
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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. (CC BY 4.0).

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Kelly, A.B.; Kelly, N.M. Validating the Remotely Sensed Geography of Crime: A Review of Emerging Issues. Remote Sens. 2014, 6, 12723-12751.

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