Metadata Italy
Update 22.9.2020: There is also a free 10m DTM, the "Tinitaly DEM" available at tinitaly.pi.ingv.it.
| Data URL WCS | Link |
| Data URL ESRI Grid | Link |
| Metadata URL | Link |
| Horizontal Reference System | EPSG:4326 |
| Vertical Reference System | requested |
| Resolution [m] | 20.0 |
| Distributor | Geoportale Nationale |
| License | AccessConstraints: Nessuno - None |
| EVRF 2000 Offset [cm] | -35 |
Tab. 1: Basic data
Regional high resolution DTMs (sicily, sardinia, tuscany, trentino, south tyrol or lombardia) were not taken into account yet.
The dataset should be from October 2012. The WCS offers no date at all:
http://wms.pcn.minambiente.it/wcs/dtm_20m?service=wcs&request=getCapabilities
But there is another download as ESRI Grid File: https://directory.spatineo.com/service/46314/ with the creation date 10/2012.
The WCS is not covering Vatikan City, but the Grid File is.
The WCS data was filled with the missing data from the Grid file.
There were some voids in the area of Occhiobello:
Voids in Cyan. Map © OpenStreetMap contributors
The voids were filled with gdal_fillnodata.
There is also some other strange data in this region:
Shift in the N240E440 dataset in the south-east.
There are also some values missing along the border.
The WCS contains the null values 0 and 32767. Thus 0 can be a real value, the raster dataset was subsetted with a polygon of italy and all null values where set to -32768 (with r.null from GRASS you could set multiple values to null).
Despite the different resolutions and ages compared to the high resolution DTMs of Slovenia and Austria the results are surprisingly good.
east |
north |
slowenia |
austria |
italy |
4605878.7 |
2607845.2 |
1358.89 |
1362.0436 |
1362 |
4605937.6 |
2607810.0 |
1341.07 |
1342.2933 |
1340 |
4605913.8 |
2607835.9 |
1354.12 |
1358.0585 |
1368 |
4606031.6 |
2607896.8 |
1367.0399 |
1369.049 |
1379 |
4606034.3 |
2607888.4 |
1363.0299 |
1363.7238 |
1363 |
4606025.2 |
2607724.9 |
1289.59 |
1293.9471 |
1294 |
4606081.0 |
2607848.1 |
1354.9199 |
1356.105 |
1344 |
4606090.9 |
2607762.7 |
1315.82 |
1320.8695 |
1310 |
4606135.1 |
2607904.3 |
1399.8999 |
1400.7782 |
1398 |
4606124.0 |
2607753.2 |
1313.23 |
1312.2775 |
1310 |
4606134.9 |
2607837.0 |
1364.46 |
1367.081 |
1361 |
4606185.6 |
2607944.8 |
1429.71 |
1429.7712 |
1433 |
4606201.4 |
2607848.8 |
1369.36 |
1374.4554 |
1369 |
4606185.8 |
2607936.9 |
1426.13 |
1429.7712 |
1433 |
4606182.6 |
2607842.4 |
1368.61 |
1369.6318 |
1369 |
4606173.4 |
2607865.3 |
1384.44 |
1383.5278 |
1380 |
4606164.5 |
2607933.7 |
1423.73 |
1424.484 |
1426 |
4606158.2 |
2607959.3 |
1433.25 |
1433.6749 |
1439 |
4606123.8 |
2608009.8 |
1443.47 |
1445.0048 |
1434 |
4606120.6 |
2607906.5 |
1395.8099 |
1397.9384 |
1398 |
Table 1: Comparison of the datasets values in overlapping areas. EPSG:3035 and height in meters.
|
Mean Deviation [m] |
Min [m] |
Max [m] |
Slovenia vs. Austria |
2.08 |
0.06 |
5.10 |
Slovenia vs. Italy |
4.74 |
0.03 |
11.96 |
Italy vs. Austria |
4.55 |
0.05 |
11.00 |
Table 2: Statistics of the comparison between the datasets above.
But take into account that the overlapping area and the sample is quite small and the area is mountainous.
