Yoshida, Keisuke ; Okuoka, Keijiro ; Miatto, Alessio ; Schebek, Liselotte ; Tanikawa, Hiroki (2023)
Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000−2010.
In: Resources, 2019, 8 (3)
doi: 10.26083/tuprints-00015682
Artikel, Zweitveröffentlichung, Verlagsversion
 | Es ist eine neuere Version dieses Eintrags verfügbar. |
Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Yoshida, Keisuke ; Okuoka, Keijiro ; Miatto, Alessio ; Schebek, Liselotte ; Tanikawa, Hiroki |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000−2010 |
| Sprache: | Englisch |
| Publikationsjahr: | 1 Dezember 2023 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2019 |
| Ort der Erstveröffentlichung: | Basel |
| Verlag: | MDPI |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Resources |
| Jahrgang/Volume einer Zeitschrift: | 8 |
| (Heft-)Nummer: | 3 |
| Kollation: | 17 Seiten |
| DOI: | 10.26083/tuprints-00015682 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/15682 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | anthropogenic disturbance, digital elevation model (DEM), land cover, mining, overburden, remote sensing |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-156821 |
| Zusätzliche Informationen: | This article belongs to the Special Issue Ecological Management: Natural Resources and Human Interaction |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 624 Ingenieurbau und Umwelttechnik |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut IWAR - Wasser- und Abfalltechnik, Umwelt- und Raumplanung 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut IWAR - Wasser- und Abfalltechnik, Umwelt- und Raumplanung > Fachgebiet Stoffstrommanagement und Ressourcenwirtschaft |
| Hinterlegungsdatum: | 01 Dez 2023 14:16 |
| Letzte Änderung: | 04 Dez 2023 08:23 |
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| Suche nach Titel in: | TUfind oder in Google |
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- Estimation of Mining and Landfilling Activities with Associated Overburden through Satellite Data: Germany 2000−2010. (deposited 01 Dez 2023 14:16) [Gegenwärtig angezeigt]
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