Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000–2010
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 enviro...
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MDPI AG
2019-07-01
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| Series: | Resources |
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| Online Access: | https://www.mdpi.com/2079-9276/8/3/126 |
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| author | Keisuke Yoshida Keijiro Okuoka Alessio Miatto Liselotte Schebek Hiroki Tanikawa |
| author_facet | Keisuke Yoshida Keijiro Okuoka Alessio Miatto Liselotte Schebek Hiroki Tanikawa |
| author_sort | Keisuke Yoshida |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T18:24:36Z |
| format | Article |
| id | doaj.art-dceaae05543f43e99cde20c559ab5296 |
| institution | Directory Open Access Journal |
| issn | 2079-9276 |
| language | English |
| last_indexed | 2024-04-11T18:24:36Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Resources |
| spelling | doaj.art-dceaae05543f43e99cde20c559ab52962022-12-22T04:09:41ZengMDPI AGResources2079-92762019-07-018312610.3390/resources8030126resources8030126Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000–2010Keisuke Yoshida0Keijiro Okuoka1Alessio Miatto2Liselotte Schebek3Hiroki Tanikawa4Railway Systems Business Unit, Hitachi, Tokyo 101-8608, JapanGraduate School of Environmental Studies, Nagoya University, Nagoya 464-8601, JapanSchool of Forestry & Environmental Studies, Yale University, New Haven, CT 06511, USAFaculty of Civil and Environmental Engineering, Technical University of Darmstadt, Darmstadt 64287, GermanyGraduate School of Environmental Studies, Nagoya University, Nagoya 464-8601, JapanDespite 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.https://www.mdpi.com/2079-9276/8/3/126anthropogenic disturbancedigital elevation model (DEM)land coverminingoverburdenremote sensing |
| spellingShingle | Keisuke Yoshida Keijiro Okuoka Alessio Miatto Liselotte Schebek Hiroki Tanikawa Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000–2010 Resources anthropogenic disturbance digital elevation model (DEM) land cover mining overburden remote sensing |
| title | Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000–2010 |
| title_full | Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000–2010 |
| title_fullStr | Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000–2010 |
| title_full_unstemmed | Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000–2010 |
| title_short | Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000–2010 |
| title_sort | estimation of mining and landfilling activities with associated overburden through satellite data germany 2000 2010 |
| topic | anthropogenic disturbance digital elevation model (DEM) land cover mining overburden remote sensing |
| url | https://www.mdpi.com/2079-9276/8/3/126 |
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