Provision of harmonised land cover / land use information:

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Presentation transcript:

Provision of harmonised land cover / land use information: LUCAS and national systems 2014 Eurostat – LUCAS

Agenda Tour de table & Restaurant Introduction on grants by Eurostat Presentations by grant holders EAGLE matrix

LUCAS grants: statistics + in-situ data Explore a better integration of MS data into the EUROSTAT LC/LU statistics production cycle Quality & comparability, cost efficiency, timeliness  harmonise LC/LU statistics in MS, access to micro data  integrate LUCAS in national in-situ survey

LUCAS grant results Applications Grants 2012: DE, EL, IT, NL, NO, PL, PT Grants 2014: AT, FI, FR, HU, IT, RO 2012 2014 Objective 1 Stat. Tables 7 6 (+5) Objective 2 In-situ 3 3 (+2)

Grants 2015 Call foreseen for June Closing date foreseen: end of August Objective 1: statistical tables from MS  classification: fine-tuned Methodological study - Evaluate grant results (2016): Integration of data from MS with survey results

Current grants First 3 interim reports received! Templates for better comparability: Columns can be added (at the end)  data sources: evaluation Request for payment + final financial report!

Objective 1: Land cover/use statistics * Data sources - classification, precision  Which LUCAS statistics can be covered easily, with adaptations, with difficulties? * Methodology - for calculating areas * Results: comparison & quality & comparability * Update cycles

Data sources: Corine land cover International Journal of Applied Earth Observation and Geoinformation 10 (2008) 467–475 Using CORINE land cover and the point survey LUCAS for area estimation Javier Gallego *, Catharina Bamps Joint Research Centre of the EC, JRC tp. 268, 21020 Ispra (Va), Italy INT. J. REMOTE SENSING, 10 AUGUST, 2004, VOL. 25, NO. 15, 3019–3047 Remote sensing and land cover area estimation F. J. GALLEGO Institute of Environment and Sustainability, Joint Research Centre of the EC, tp 262, 21020 Ispra (Va), Italy; e-mail: javier.gallego@jrc.it

Objective 2: LUCAS and national in-situ surveys * Analyse a national in-situ survey * How to integrate LUCAS? * Costs, drawbacks and benefits