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  • CLS-4.2: Pollution monitoring

 

Pollution monitoring 

CLS_OFF.4.2 : Pollution monitoring  

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Challenge ID

CLS_OFF.4.2

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Title

Pollution monitoring 

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Originator of Challenge

SHELL/Statoil

 

General description

 

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What data/products do you currently use ?

  • Oil spill drift model ready for deployment: provided by MetNo
  • Oil spill drift simulations provided by MetNo
  • Metocean data for the drift model and oil weathering process
  • Aerial photographs and SAR images to visualize the pollution

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When do you use this kind of dataset?

In case of a leak, the drift of the oil spill need to be simulated and estimated. Satellite images can also be used to note the pollution.

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What are your actual limitations and do you have a work around? 

n/a

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Needs and expectations on EO data

• Synoptic data, more data at low latitudes

• Better coordination between satellite missions for a better coverage

• Oil spill classification &  thickness

(EnviSAT was very usefull, good expectations from the Sentinels)

 

Challenge classification

 

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Lifecycle stage

Pre license

Exp.

Dev.

Prod.

Decom.

Score from impact

 

 

 

4

 

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Geographic context/restrictions

  • West Africa
  • Caspian sea
  • Brazil, south America (oil spill monitoring)

 

 

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Topographic classification / Offshore classification

n/a

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Activity impacted/concerned

n/a

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Urgency

(How quickly does the user need the solution)

As soon possible for oil spill

 

 

 

Information requirements

 

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Update frequency

Oil spill: Daily update minimum higher if possible 4 times a day.

 

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Temporal resolution

n/a

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Spatial resolution

1m-30m for oil spill response and monitoring.

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Data quality

Near the cost: higher requirements

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Data Coverage and extent

Composite mostly

Composite, single sensor

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Example formats

Ascii tables, Geotiffs  for operations

(It depends on the context)

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Timeliness

As soon as possible

 

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Existing standards

Some but very broad