Mapping Bauxite Mining Residues Using Remote Sensing Techniques
Bauxite residuals from abandoned mining sites are both an environmental challenge and a possible source of secondary raw materials. Processing of multispectral and hyperspectral images with the best available techniques can help to produce multiscale spatial maps of elements inside and around the mi...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-01-01
|
| Series: | Materials Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4605/5/1/91 |
| _version_ | 1797610337590050816 |
|---|---|
| author | Sara Kasmaeeyazdi Roberto Braga Francesco Tinti Emanuele Mandanici |
| author_facet | Sara Kasmaeeyazdi Roberto Braga Francesco Tinti Emanuele Mandanici |
| author_sort | Sara Kasmaeeyazdi |
| collection | DOAJ |
| description | Bauxite residuals from abandoned mining sites are both an environmental challenge and a possible source of secondary raw materials. Processing of multispectral and hyperspectral images with the best available techniques can help to produce multiscale spatial maps of elements inside and around the mining sites. The authors propose a procedure for mapping elements concentration using multiple data sets at different scales and resolutions. A comparison between multispectral Sentinel-2 images and hyperspectral PRISMA processing is performed over some case studies of bauxite residues in the Mediterranean area. Specifically, a case study from Italy is composed regarding artificial canyons created by past artisanal mining activities and by stockpiles of extracted bauxite. Hyperspectral punctual measurements (spectroradiometer surveys) were taken in various zones of the bauxite site, where infield topsoil samples were also taken for X-ray fluorescence chemical analysis. Final concentration maps were estimated by performing geostatistical techniques. |
| first_indexed | 2024-03-11T06:13:59Z |
| format | Article |
| id | doaj.art-1b57a833f1734099a7b7ea70fe4bdd52 |
| institution | Directory Open Access Journal |
| issn | 2673-4605 |
| language | English |
| last_indexed | 2024-03-11T06:13:59Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials Proceedings |
| spelling | doaj.art-1b57a833f1734099a7b7ea70fe4bdd522023-11-17T12:24:59ZengMDPI AGMaterials Proceedings2673-46052022-01-01519110.3390/materproc2021005091Mapping Bauxite Mining Residues Using Remote Sensing TechniquesSara Kasmaeeyazdi0Roberto Braga1Francesco Tinti2Emanuele Mandanici3Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Via Terracini 28, 40131 Bologna, ItalyDepartment of Biological, Geological and Environmental Sciences, University of Bologna, Via Zamboni 67, 40126 Bologna, ItalyDepartment of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Via Terracini 28, 40131 Bologna, ItalyDepartment of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Via Terracini 28, 40131 Bologna, ItalyBauxite residuals from abandoned mining sites are both an environmental challenge and a possible source of secondary raw materials. Processing of multispectral and hyperspectral images with the best available techniques can help to produce multiscale spatial maps of elements inside and around the mining sites. The authors propose a procedure for mapping elements concentration using multiple data sets at different scales and resolutions. A comparison between multispectral Sentinel-2 images and hyperspectral PRISMA processing is performed over some case studies of bauxite residues in the Mediterranean area. Specifically, a case study from Italy is composed regarding artificial canyons created by past artisanal mining activities and by stockpiles of extracted bauxite. Hyperspectral punctual measurements (spectroradiometer surveys) were taken in various zones of the bauxite site, where infield topsoil samples were also taken for X-ray fluorescence chemical analysis. Final concentration maps were estimated by performing geostatistical techniques.https://www.mdpi.com/2673-4605/5/1/91bauxite mappinghyperspectral imagesband ratio |
| spellingShingle | Sara Kasmaeeyazdi Roberto Braga Francesco Tinti Emanuele Mandanici Mapping Bauxite Mining Residues Using Remote Sensing Techniques Materials Proceedings bauxite mapping hyperspectral images band ratio |
| title | Mapping Bauxite Mining Residues Using Remote Sensing Techniques |
| title_full | Mapping Bauxite Mining Residues Using Remote Sensing Techniques |
| title_fullStr | Mapping Bauxite Mining Residues Using Remote Sensing Techniques |
| title_full_unstemmed | Mapping Bauxite Mining Residues Using Remote Sensing Techniques |
| title_short | Mapping Bauxite Mining Residues Using Remote Sensing Techniques |
| title_sort | mapping bauxite mining residues using remote sensing techniques |
| topic | bauxite mapping hyperspectral images band ratio |
| url | https://www.mdpi.com/2673-4605/5/1/91 |
| work_keys_str_mv | AT sarakasmaeeyazdi mappingbauxiteminingresiduesusingremotesensingtechniques AT robertobraga mappingbauxiteminingresiduesusingremotesensingtechniques AT francescotinti mappingbauxiteminingresiduesusingremotesensingtechniques AT emanuelemandanici mappingbauxiteminingresiduesusingremotesensingtechniques |