WP 4: Remote sensing of mining structures and operation processes

The aim of work package 4 is to investigate how satellite and airborne remote sensing in addition to modelling can be used in management and monitoring of mine structures and processes.

Work package 4 involved remote sensing and field measurements in two sub-arctic mine sites in Northern Sweden (Aitik mine) and Northern Finland (Laiva mine). In the case of Laiva mine, unmanned aerial vehicles (UAV) were utilized to monitor subsidence of paste tailings. At the same site, yearly thermal regime of the tailings was monitored with temperature loggers and frost depth indicators. Gathered thermal data and measured geotechnical properties were utilized in modelling of frost depth and tailings paste mechanical behaviour. In the case of Aitik, satellite remote sensing was used in monitoring surface movements of tailings dams by utilizing SAR Interferometry (InSAR) with freely available medium-resolution (Sentinel-1) and commercial high-resolution (TerraSAR-X) data.

Brief descriptions of each study are provided below with links to publised articles or detailed report.


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 conducted UAV campaigns in three consecutive summers (2015–2017) at the Laiva mine site. The aim was to monitor the 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.

Open access article available here (Remote Sensing 9(12), 2017)


Geothermal study of a tailings deposit - Frost line modelling and comparison to field data:

Seasonal freezing and thawing can have significant effects on tailings management. Tailings delivery, depositional schemes and water treatment are examples of activities that must be dealt with extra concern in sub-zero temperatures. Changes in mechanical properties, drainage possibilities or embedded frozen tailings layers are effects that can arise. To avoid such consequences, a good understanding of the seasonal effects on the tailings deposit is needed. To get a better understanding of the geothermal regime in tailings, this task presents a study with geothermal modelling performed for the Laiva tailings facility in Finland, where major seasonal freezing and thawing periods are present. Ground temperatures and frost lines were predicted via one-dimensional modelling using air temperatures and snow cover depths from adjacent weather stations, and basic soil properties from the facility. Simulated results were compared to data obtained from thermal instruments in the field. The snow cover and its estimated thermal properties were shown to have large influence on the results. The model was able to accurately predict the thermal regime measured in the field. Strong agreement was shown, both in terms of ground temperatures and frost front positions. The methodology presented, is useful for tailings management schemes in cold regions.

(Manuscript under review)


Tailings paste behavior with computational fluid dynamics modelling

Task still ongoing. Results updated soon.


Remote sensing with satellites: Using satellite data (InSAR) to monitor tailings dam movement

Task still ongoing. Results updated soon.

Last updated: 28.3.2018