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Stockpile Measurement

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PRODUCT DESCRIPTION

Category

  • Topographic information
  • Impact assessment
  • Change detection / continuous monitoring
  • Land cover / use
  • Near surface geology
  • Surface deformation
  • Precision ortho-images
  • Terrain information
  • Water quantity & quality

Uses

  • Operations – Stockpile monitoring
  • Operations – Stockpile volume
  • Operations – Stockpile changes

Challenges addressed

Development and Operations – Stockpile Monitoring

Geo-information needs

  • DO-10: Raw material stockpiles
  • DO-11: Ore stockpiles
  • DO-12: Final product stockpiles

Description

It is essential in terms of managing a mine to continuously get information on raw material, ore and final product stockpiles. This product provides a monitoring service that helps to monitor any changes within the stockpiles as well as to calculate volumes.

High resolution satellite imagery such as Pléiades can be used to address this challenge. New methods with Stereo and Tri-Stereo images that are especially used for elevation modelling make it now easier to generate a 3D-model that is used a basis for further assessment. With this input data, further steps are applied, generating different models:

  • A Digital Surface Model (DSM) pictures the earth’s surface including all objects on it, such as trees or houses.
  • Whereas a Digital Elevation Model (DEM) covers the surface without such objects, representing the relief.

The volume of stockpiles is then calculated bringing those two input models together and calculating the differences between them. Also, changes in volume can be measured when comparing models from different points in time.

Drones and UAV provide images can help with the detection of stockpiles and support the satellite imagery. They provide a higher resolution and can take pictures at a higher frequency. With the points clouds that can be derived, the volume is measured.

Radar (SAR) sensors are also capable of accurately estimating stockpile volumes and monitoring volume changes.

Findings can be provided in reports providing statistical data, changes and progress.

Known restrictions / limitations

How well a product gives information on volume of stockpiles is highly dependent on the quality and resolution of satellite imagery. Using open source data, a resolution of 10 m is possible. However, depending on the dimension of stockpiles, this might be too coarse. Concerning change products consistent data from the same sources and the same period for the area of interest is needed.

In case a further differentiation between types of material is needed, a hyperspectral analysis is obligatory. However, this analysis presumes bigger deposits as resolution is not as subtle as required for analysing such information.

The courses of the Pléiades satellites are designed to cover every point on earth every day, however, a continuous monitoring every day might not be possible as clouds, shadows or other might influence the quality of imagery. This issue could be overcome using SAR technology.

Additionally used data such as drones and UAV may be costly.

Lifecycle stage and demand

Exploration

Environmental Assessment and Permitting

Design, Construction and Operations

Mine Closure and Aftercare


 

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Design, Construction & Operations:

  • Information to monitor raw material stockpiles.
  • Information to monitor ore stockpiles.
  • Information to monitor final products.

Geographic coverage

Globally available.

EARSC Thematic Domain

Domain

LAND
Sub-domainLand use
Product descriptionMonitor land cover and detect change

PRODUCT SPECIFICATIONS

Input data sources

SatelliteSentinel 2Worldview 1, 2 and 3PleiadesPléiades NeoICEYE-X2
StatusIn operationIn operationIn operationPlannedIn operation
OperatorESADigital GlobeAirbus Defence and Space/CNESAirbus Defence and SpaceICEYE
Data availabilityPublic

Commercial, on demand

Commercial, on demandCommercial, on demandCommercial, on demand
Resolution (m)10 - 600.31 - 0.460.5 - 20.3 - 1.2

< 1

CoverageGlobalGlobalGlobalGlobalGlobal
Frequency (days)5< 2< 1< 2< 1
Launch year20152007/2009/2014201120202019

Website

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Minimum Mapping Unit (MMU)

Variable, depending on source data resolution. A MMU as small as the pixel size of the chosen satellite is possible.

Accuracy / constraints

Thematic accuracy:

10%-20% accuracy in volumetric estimates

Spatial accuracy:

Dependent on input pixel resolution; Sub-pixel accuracy (i.e. <10m for Sentinel products but may be as little as <0.5m)

Accuracy assessment approach & quality control measures

N/A

Frequency / timeliness

Observation frequency:

Every one or more days, depending on satellite.

Timeliness of delivery:

Within five (working) days of sensing.

Availability

Data from all Sentinel satellites are freely available through the open data policy of the operator ESA (Sentinel-2A since 2015, Sentinel-2B since 2017).

WorldView and Pleiades data are commercially satellites and must be purchased through the operator/vendor Digital Globe (WorldView) or Airbus Defence and Space (SPOT, Pleiades). Usually available within hour(s) of satellite fly-over.

SAR imagery from ICEYE is also commercially available.

Delivery / output format

Further delivery formats: Statistical progress/change reports

USE CASE

Tucci, G.; Gebbia, A.; Conti, Al; Fiorini, L.; Lubello C. (2019) Monitoring and Computation of the Volumes of Stockpiles of Bulk Material by Means of UAV Photogrammetric Surveying. In: Remote Sensing 11, 1471.

In this study the monitoring and computation of stockpile volume was exercised using UAV photogrammetric techniques. 3D models were generated out of point clouds. A DEM was then needed to calculate the volumes. With the boundaries of the stockpiles, the DEM of the surface and the computed stockpile model, the volume was calculated.


 


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