Solid waste detection, monitoring and mapping in remote sensing images: A survey.

Autor: Fraternali P; Politecnico di Milano, Department of Electronics, Information, and Bioengineering, Via Ponzio 34/5, Milan 20133, Italy. Electronic address: piero.fraternali@polimi.it., Morandini L; Politecnico di Milano, Department of Electronics, Information, and Bioengineering, Via Ponzio 34/5, Milan 20133, Italy. Electronic address: luca.morandini@polimi.it., Herrera González SL; Politecnico di Milano, Department of Electronics, Information, and Bioengineering, Via Ponzio 34/5, Milan 20133, Italy. Electronic address: sergioluis.herrera@polimi.it.
Jazyk: angličtina
Zdroj: Waste management (New York, N.Y.) [Waste Manag] 2024 Dec 01; Vol. 189, pp. 88-102. Date of Electronic Publication: 2024 Aug 24.
DOI: 10.1016/j.wasman.2024.08.003
Abstrakt: The detection and characterization of illegal solid waste disposal sites are essential for environmental protection, particularly for mitigating pollution and health hazards. Improperly managed landfills contaminate soil and groundwater via rainwater infiltration, posing threats to both animals and humans. Traditional landfill identification approaches, such as on-site inspections, are time-consuming and expensive. Remote sensing is a cost-effective solution for the identification and monitoring of solid waste disposal sites that enables broad coverage and repeated acquisitions over time. Earth Observation (EO) satellites, equipped with an array of sensors and imaging capabilities, have been providing high-resolution data for several decades. Researchers proposed specialized techniques that leverage remote sensing imagery to perform a range of tasks such as waste site detection, dumping site monitoring, and assessment of suitable locations for new landfills. This review aims to provide a detailed illustration of the most relevant proposals for the detection and monitoring of solid waste sites by describing and comparing the approaches, the implemented techniques, and the employed data. Furthermore, since the data sources are of the utmost importance for developing an effective solid waste detection model, a comprehensive overview of the satellites and publicly available data sets is presented. Finally, this paper identifies the open issues in the state-of-the-art and discusses the relevant research directions for reducing the costs and improving the effectiveness of novel solid waste detection methods.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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