UAV Remote Sensing Surveillance of a Mine Tailings Impoundment in Sub-Arctic Conditions
Mining typically involves extensive areas where environmental monitoring is spatially sporadic. New remote sensing techniques and platforms such as Structure from Motion (SfM) and unmanned aerial vehicles (UAVs) may offer one solution for more comprehensive and spatially continuous measurements. We...
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ftdoajarticles:oai:doaj.org/article:01e66eee22e24132964484be65683d67 2023-05-15T14:57:19+02:00 UAV Remote Sensing Surveillance of a Mine Tailings Impoundment in Sub-Arctic Conditions Anssi Rauhala Anne Tuomela Corine Davids Pekka M. Rossi 2017-12-01T00:00:00Z https://doi.org/10.3390/rs9121318 https://doaj.org/article/01e66eee22e24132964484be65683d67 EN eng MDPI AG https://www.mdpi.com/2072-4292/9/12/1318 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs9121318 https://doaj.org/article/01e66eee22e24132964484be65683d67 Remote Sensing, Vol 9, Iss 12, p 1318 (2017) UAV unmanned aerial vehicle Structure from Motion digital elevation model DEM of difference mine tailings ground displacement settlement Science Q article 2017 ftdoajarticles https://doi.org/10.3390/rs9121318 2022-12-31T16:19:29Z Mining typically involves extensive areas where environmental monitoring is spatially sporadic. New remote sensing techniques and platforms such as Structure from Motion (SfM) and unmanned aerial vehicles (UAVs) may offer one solution for more comprehensive and spatially continuous measurements. We conducted UAV campaigns in three consecutive summers (2015–2017) at a sub-Arctic mining site where production was temporarily suspended. The aim was to monitor a 0.5 km2 tailings impoundment and measure potential subsidence of tailings. SfM photogrammetry was used to produce yearly topographical models of the tailings surface, which allowed the amount of surface displacement between years to be tracked. Ground checkpoints surveyed in stable areas of the impoundment were utilized in assessing the vertical accuracy of the models. Observed surface displacements were linked to a combination of erosion, tailings settlement, and possible compaction of the peat layer underlying the tailings. The accuracy obtained indicated that UAV-assisted monitoring of tailings impoundments is sufficiently accurate for supporting impoundment management operations and for tracking surface displacements in the decimeter range. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 9 12 1318 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
UAV unmanned aerial vehicle Structure from Motion digital elevation model DEM of difference mine tailings ground displacement settlement Science Q |
spellingShingle |
UAV unmanned aerial vehicle Structure from Motion digital elevation model DEM of difference mine tailings ground displacement settlement Science Q Anssi Rauhala Anne Tuomela Corine Davids Pekka M. Rossi UAV Remote Sensing Surveillance of a Mine Tailings Impoundment in Sub-Arctic Conditions |
topic_facet |
UAV unmanned aerial vehicle Structure from Motion digital elevation model DEM of difference mine tailings ground displacement settlement Science Q |
description |
Mining typically involves extensive areas where environmental monitoring is spatially sporadic. New remote sensing techniques and platforms such as Structure from Motion (SfM) and unmanned aerial vehicles (UAVs) may offer one solution for more comprehensive and spatially continuous measurements. We conducted UAV campaigns in three consecutive summers (2015–2017) at a sub-Arctic mining site where production was temporarily suspended. The aim was to monitor a 0.5 km2 tailings impoundment and measure potential subsidence of tailings. SfM photogrammetry was used to produce yearly topographical models of the tailings surface, which allowed the amount of surface displacement between years to be tracked. Ground checkpoints surveyed in stable areas of the impoundment were utilized in assessing the vertical accuracy of the models. Observed surface displacements were linked to a combination of erosion, tailings settlement, and possible compaction of the peat layer underlying the tailings. The accuracy obtained indicated that UAV-assisted monitoring of tailings impoundments is sufficiently accurate for supporting impoundment management operations and for tracking surface displacements in the decimeter range. |
format |
Article in Journal/Newspaper |
author |
Anssi Rauhala Anne Tuomela Corine Davids Pekka M. Rossi |
author_facet |
Anssi Rauhala Anne Tuomela Corine Davids Pekka M. Rossi |
author_sort |
Anssi Rauhala |
title |
UAV Remote Sensing Surveillance of a Mine Tailings Impoundment in Sub-Arctic Conditions |
title_short |
UAV Remote Sensing Surveillance of a Mine Tailings Impoundment in Sub-Arctic Conditions |
title_full |
UAV Remote Sensing Surveillance of a Mine Tailings Impoundment in Sub-Arctic Conditions |
title_fullStr |
UAV Remote Sensing Surveillance of a Mine Tailings Impoundment in Sub-Arctic Conditions |
title_full_unstemmed |
UAV Remote Sensing Surveillance of a Mine Tailings Impoundment in Sub-Arctic Conditions |
title_sort |
uav remote sensing surveillance of a mine tailings impoundment in sub-arctic conditions |
publisher |
MDPI AG |
publishDate |
2017 |
url |
https://doi.org/10.3390/rs9121318 https://doaj.org/article/01e66eee22e24132964484be65683d67 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Remote Sensing, Vol 9, Iss 12, p 1318 (2017) |
op_relation |
https://www.mdpi.com/2072-4292/9/12/1318 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs9121318 https://doaj.org/article/01e66eee22e24132964484be65683d67 |
op_doi |
https://doi.org/10.3390/rs9121318 |
container_title |
Remote Sensing |
container_volume |
9 |
container_issue |
12 |
container_start_page |
1318 |
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1766329397257699328 |