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Published byLucinda Lang Modified over 9 years ago
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Corine Land cover/SOER Launch Event University of Leicester Earth observation for Statistics Presented by: Peter Helm, Defra Head of Profession for Statistics Date: 1 July 2015
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Questions Q 1 What are the potential applications? Replacing or adding to existing collections Providing new insights Q 2 What are the issues? Capabilities of the technology Learning new skills and process Costs Pros and cons How will this develop. Is this the right time to take forward Q3 How do we get started – what can we learn from others?
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New opportunities Copernicus ( with LUCAS) Improving technology Wider applications being developed Less willingness to fill in forms Need greater speed and detail Need less cost Big Data 3
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The Perfect Storm…. €3.8bn investment in Copernicus will result up to 8TB/day of new free data on the environment 4 The UKSA is investing in Government to ensure optimum uptake of satellite technologies
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UK access to Copernicus data & products: Airbus Farnborough has won the European Space Agency contract to process, archive and disseminate data from the Copernicus satellites Sentinels 1 and 2. Sentinel data/products from Airbus Farnborough will be disseminated via two routes: STFC/RAL Space (the Science and Technology Facilities Council/Rutherford Appleton Laboratory Space Department) Space Applications Catapult
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Examples Land water air 7
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Land Cover Map MEOW Map UK-Earth Observation- for mapping habitat extent and condition & more
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Use in agricultural statistics 9
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Agricultural statistics 10
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Satellite Monitoring – EU Fisheries The Vessel Monitoring System (VMS) is a form of satellite tracking using transmitters on board fishing vessels. The system is a legal requirement under EC Regulation 2244/2003; Regulation applies to vessels exceeding 12m overall length; Basic VMS unit consists of a GPS receiver which plots the position of the vessel coupled with a communications device which reports the position at a minimum of every two hours; The unit automatically sends the following data : –the vessel identification –geographical position –date/time(UTC) of fixing of position –course and speed
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And next….. What is the potential ? Example - Application to Livestock information Can the technology identify different types of livestock holding? Process and cost of translating the observations into statistics What savings can be made ? How do we move forward ? If there are difficulties what needs to change before it can be useful operationally 14
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