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Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000–2010

Yoshida, Keisuke and Okuoka, Keijiro and Miatto, Alessio and Schebek, Liselotte and Tanikawa, Hiroki (2019):
Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000–2010.
In: Resources, Molecular Diversity Preservation International (MDPI), p. 126, 8, (3), ISSN 2079-9276,
DOI: 10.3390/resources8030126,
[Online-Edition: https://www.mdpi.com/2079-9276/8],
[Article]

Abstract

Despite ever-increasing material extraction on the global scale, very few studies have focused on the relationship between mining activities, overburden, and landfilling. This is mainly due to the lack of statistical data. Yet, large mining activities cause environmental strain to the natural environment, and are often cause of irreversible alterations to the natural landscape. To circumvent this problem, we develop a methodology that employs the digital elevation model and land cover to detect and analyze mining and landfilling site over time. We test our methodology with the case of Germany for the years 2000–2010. We then confront our results with statistically available data, to verify whether this methodology can be applied to other countries. Results from the analysis of satellite data give 15.3 Pg of extracted materials and 7.8 Pg of landfilled materials, while statistics report 29.4 Pg and 1.8 Pg, respectively. This large difference was likely due to the different frequency of recording, where satellite data was updated after 10 years, while statistics were reported yearly. The analysis of the anthropogenic disturbance with spatial information can effectively contribute to observe, analyze, and quantify mining activities, overburden, and landfills, and can thus provide policy makers with useful and practical information regarding resource usage and waste management.

Item Type: Article
Erschienen: 2019
Creators: Yoshida, Keisuke and Okuoka, Keijiro and Miatto, Alessio and Schebek, Liselotte and Tanikawa, Hiroki
Title: Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000–2010
Language: English
Abstract:

Despite ever-increasing material extraction on the global scale, very few studies have focused on the relationship between mining activities, overburden, and landfilling. This is mainly due to the lack of statistical data. Yet, large mining activities cause environmental strain to the natural environment, and are often cause of irreversible alterations to the natural landscape. To circumvent this problem, we develop a methodology that employs the digital elevation model and land cover to detect and analyze mining and landfilling site over time. We test our methodology with the case of Germany for the years 2000–2010. We then confront our results with statistically available data, to verify whether this methodology can be applied to other countries. Results from the analysis of satellite data give 15.3 Pg of extracted materials and 7.8 Pg of landfilled materials, while statistics report 29.4 Pg and 1.8 Pg, respectively. This large difference was likely due to the different frequency of recording, where satellite data was updated after 10 years, while statistics were reported yearly. The analysis of the anthropogenic disturbance with spatial information can effectively contribute to observe, analyze, and quantify mining activities, overburden, and landfills, and can thus provide policy makers with useful and practical information regarding resource usage and waste management.

Journal or Publication Title: Resources
Volume: 8
Number: 3
Publisher: Molecular Diversity Preservation International (MDPI)
Divisions: 13 Department of Civil and Environmental Engineering Sciences
13 Department of Civil and Environmental Engineering Sciences > Institute IWAR
13 Department of Civil and Environmental Engineering Sciences > Institute IWAR > Material Flow Management and Resource Economy
Date Deposited: 26 Jul 2019 07:08
DOI: 10.3390/resources8030126
Official URL: https://www.mdpi.com/2079-9276/8
Alternative keywords:
Alternative keywordsLanguage
anthropogenic disturbance; digital elevation model (DEM); land cover; mining; overburden; remote sensingUNSPECIFIED
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