VENETO REGION PILOT AREA Silvia Obber VENETO REGION PILOT AREA Silvia Obber Osservatorio Regionale Suolo - ARPAV Ispra - February 6-7, 2006.

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VENETO REGION PILOT AREA Silvia Obber VENETO REGION PILOT AREA Silvia Obber Osservatorio Regionale Suolo - ARPAV Ispra - February 6-7, 2006

The first to fill in the exchange format in order to provide an example Austria-Veneto pilot areas are not cross- border LACK OF HARMONISATION POSSIBILITIES

Austria-Veneto: very different environments. High interest but low correlation possibilities Humus forms could have been discussed more, during all excursions (important for OC) Friuli-Slovenia: good examples of harmonisation. A single pilot area, already harmonised. EXCURSIONS

Similar interpretations of pedogenetic processes (es: Bs/Bw horizons in Lombardy or Switzerland) This should lead to similar classifications, with few problems of different soil classifications on the borderline (U. Wolf) EXCURSIONS

Italy seems confident using WRB classification (no national classification) Countries with national classifications tend to translate their classifications to WRB (single WRB adjective) CLASSIFICATION

STU-TOT (pixel table) Total STU coverage (%), sum of all STUs coverage. STU-TOT+NON SOIL should be 100%, exept for border pixels. Was the interpretation of the parameter the same for everyone? Is it coherent with the 1:1M DB? Problem: NON SOIL ( SUR-BARE+SUR-URB+W-BODY ) and STU_TOT come from different DB PIXEL TABLE

SUR-BARE+SUR-URB+W-BODY: Should everybody use Corine 2000 to have the same definition of NON-Soil or should they use local sources and describe them in metadata? Which is the source for non-soil for the 1:1M DB? PIXEL TABLE

PX-CFL: Confidence level of pixel description PX-AVLB: Soil data availability PX-OBS: Number of total observations in the pixel N-PROF: Number of profiles in the pixel There is no reason not to fill in these parameters. PIXEL TABLE

CO-HUM: organic carbon content of holorganic layers in the pixel (t/ha) Is the value 0 of some pilot area for missing data or for no holorganic layers presence? (es: agricultural sites, vineyards, ecc..) PIXEL TABLE

S-LOSS: Actual soil loss in the pixel (t/ha/year) some pilot areas have filled the DB with the interval of the classes of t/ha (ES: 10-40) PIXEL TABLE

STU-DOM Dominant STU coverage (%). It should have been calculated as percentage of the STU-TOT Was the interpretation of the parameter the same for everyone? Is it coherent with the 1:1M DB? DOMINANT STU TABLE

TOP-DEPTH : depth of topsoil (cm) It gives precision and accuracy to the data, it helps to characterise mountain and agricultural soils Should bulk density and organic carbon content of TOP-DEPTH be added to check the data of 1:1M DB? DOMINANT STU TABLE

Very important to be filled in. Has it been filled by all partners? If not, why not? METADATA TABLE