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Remote Sens. 2015, 7(10), 13053-13069; doi:10.3390/rs71013053

Remote Sensing Analysis Techniques and Sensor Requirements to Support the Mapping of Illegal Domestic Waste Disposal Sites in Queensland, Australia

Department of Environmental Sciences, Macquarie University, North Ryde, NSW 2109, Australia
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Author to whom correspondence should be addressed.
Academic Editors: Yuei-An Liou, Soe Myint and Prasad S. Thenkabail
Received: 13 February 2015 / Revised: 7 July 2015 / Accepted: 26 September 2015 / Published: 1 October 2015
(This article belongs to the Special Issue Earth Observations for the Sustainable Development)
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Abstract

Illegal disposal of waste is a significant management issue for contemporary governments with waste posing an economic, social, and environmental risk. An improved understanding of the distribution of illegal waste disposal sites is critical to enhance the cost-effectiveness and efficiency of waste management efforts. Remotely sensed data has the potential to address this knowledge gap. However, the literature regarding the use of remote sensing to map illegal waste disposal sites is incomplete. This paper aims to analyze existing remote sensing methods and sensors used to monitor and map illegal waste disposal sites. The purpose of this paper is to support the evaluation of existing remote sensing methods for mapping illegal domestic waste sites in Queensland, Australia. Recent advances in technology and the acquisition of very high-resolution remote sensing imagery provide an important opportunity to (1) revisit established analysis techniques for identifying illegal waste disposal sites, (2) examine the applicability of different remote sensors for illegal waste disposal detection, and (3) identify opportunities for future research to increase the accuracy of any illegal waste disposal mapping products. View Full-Text
Keywords: waste management; illegal dump sites; domestic waste; remote sensing; image processing methods; Australia waste management; illegal dump sites; domestic waste; remote sensing; image processing methods; Australia
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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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MDPI and ACS Style

Glanville, K.; Chang, H.-C. Remote Sensing Analysis Techniques and Sensor Requirements to Support the Mapping of Illegal Domestic Waste Disposal Sites in Queensland, Australia. Remote Sens. 2015, 7, 13053-13069.

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