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Waste Accumulation Monitoring

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Bulk waste material monitoring tool estimating volumes and material class 

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

Monitoring tool for estimating volumes and material classes of bulk (waste)material stocks / piles.

Challenges addressed

Development and Operations – Environmental Monitoring

Geo-information needs

DO 26: Waste management – audit of accumulations

Description

This product provides information on where and when changes occur during, construction, production and decommissioning of large mining / production sites. Particularly the product informs about volume changes of bulk material storages such as solid waste streams. SAR imagery is used to identify where exactly the changes on large sites have occurred. Subsequently optical imagery is acquired for the specific locations where changes have been notified. The optical imagery allows for quantitative estimations of bulk material volumes and material classes.

Advanced SAR based change detection algorithms are applied to create change maps for large scale production / mining sites. SAR based classification algorithms are used to remove irrelevant changes from the change map that are not related to bulk material changes. For the remaining relevant changes optical imagery is acquired. ML trained algorithms recognize the patterns of bulk material storages / piles and demarcate the base perimeter of the bulk stock. ML based feature recognition is used to characterize the pile shape (cone, ridge, plateau etc.) and a model is applied to determine the critical slope of the pile, which together result in a volume estimation of the waste stream. The available RGB IR / (V)NIR bands are used to determine the material classes based on spectrometry.

For detecting bulk volume changes >50 m3 low resolution SAR imagery (5 x 20 m) of the Sentinel-1 constellation is sufficient. For smaller volume increments commercial HR SAR products from e.g. TerraSAR-X (3 x 3 m) need to be used. For quantifying the volume of waste / bulk volume changes, mid-resolution (e.g., Sentinel-2) or HR RGB imagery (1 / 1.5 m) should be used.

Known restrictions / limitations

Small changes in waste volumes (<5 m3) will not be detected reliably with available SAR data. Below <50 m3 HR SAR data (3 x 3 m) is required. With the availability of LR S-1 SAR images, the largest parts of the earth surface can be revisited with a frequency of ~60x per year but at least 30x per year.

Resolution vs. optical bands: More granular material classification requires more bands which is lowering the ground resolution and hence the accuracy. The volume estimator is based on ML algorithms and hence its accuracy based on the amount of training data (which is growing).

Lifecycle stage and demand

Exploration

Environmental Assessment and Permitting

Design, Construction and Operations

Mine Closure and Aftercare

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  • Exploration: Monitoring waste streams during appraisal drillings / excavations
  • Environmental assessment: Create reference point / baseline of waste accumulations before mining started and monitoring the waste accumulations / transportations during the life cycle stages.
  • Construction and operation: monitoring volume changes of waste streams during the construction and operations of the mine.
  • Mine closure & aftercare: Monitor volume changes waste stream during the abandonment phase.

Geographic coverage

Global coverage

EARSC Thematic Domain

Domain

Land
Sub-domainLand Ecosystems / Topography
Product descriptionMonitor land pollution and change / Monitor ground movements

PRODUCT SPECIFICATIONS

Input data sources

SatelliteSentinel-1TerraSAR-XSkySatTripleSatSPOT 6, 7
StatusIn operationIn operationIn operationIn operationIn operation
OperatorESAAirbus Defence & SpacePlanet21ATAirbus Defence and Space
Data availabilityPublic

Commercial, on demand

Commercial, on demandCommercial, on demandCommercial, on demand
Resolution (m)20x43x3 or 1x10.80.81.5
CoverageGlobalGlobalGlobalGlobalGlobal
Frequency (days)6-121133< 1
Launch year20142007201320152012/2014

Website

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Minimum Mapping Unit (MMU)

The satellite can detect very small features (~decimeters), provided that objects and/or surfaces of interest reflect well enough. Generally, solid, stable, angular objects are the best reflectors.

Accuracy / constraints

Thematic accuracy:

The technique works best on waste containing solid, stable, angular objects like solid rocks, larger heaps of materials etc. Water cannot be measured and vegetated surfaces are more difficult to measure.

Spatial accuracy:

Dependent on the satellite resolution. The measurement can be located on sub-pixel level, typically in the order of 1-5 meters.

Accuracy assessment approach & quality control measures

The quality is assessed by automated, thoroughly tested, QC algorithms and deliver validated results. The quality of the product and the approach taken are described in an automated report, ensuring high quality and reproducibility.

Frequency / timeliness

Observation frequency:

For SAR satellites varying from 1x per 3 days to 1x per 12 days. For optical satellites 1x per 3 days typically.

Timeliness of delivery:

Typically within 24 hrs for SAR satellite fly-over.

Availability

  • Global coverage with free imagery, lower resolution, including archive since 2015 and in some locations since 1992.
  • Global coverage on demand with paid imagery, higher resolution. Archive imagery available in some locations

Delivery / output format

  • Data via API (Application Programming Interface), as GIS file format (geotiff, shapefile, .kml, kmz,csv, etc.) or in a Client software interface.
  • Triggers via email notification .
  • Automated Satellite Surveillance Reports in pdf or csv.

USE CASE

As can be seen in the product figure (source: Orbital Eye) at the top of the product sheet, a monitoring tool has been developed to detect changes in volume of bulk material storages, such as solid waste streams. SAR imagery is used to identify where exactly the changes have occurred. Subsequently, optical imagery is acquired and allows for quantitative estimation of bulk material volumes, material classes, and demarcation of the base perimeter of the bulk stock.


 


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