The second goal of this project is the formation of a new geoid model that can help determine accurate orthometric heights, which have many more engineering uses in practical fields.
At the end of this project, we will obtain the following results:
Parameter |
Aerial LiDAR survey |
Aerial Aerogravimetric Survey |
Sensor |
LiDAR with ≥ 4 echoes per pulse |
Kinematic gravimeters (IMU strapdown + GNSS) |
Altimetric accuracy |
RMSE ≤ 0.08 m |
Gravity measurement ≤ 1.5 milliGal |
Planimetric accuracy |
RMSE ≤ 0.15 m |
RMSE crossover ≤ 3 milliGal |
Point density |
Plain/hill: ≥ 8 pt/m² (oct. 10) Mountain: ≥ 6 pt/m² (oct. 10) |
≥ 1 point / 6.25 km² |
Flight rates/conditions |
Swipe overlap ≥ 20% Adjacent swipes: ≥ 50% |
Constant altitude ±20 m Max. relative altitude: ≤ 2800 m Speed: 280 ±10 km/h |
Line length |
Not specified (depends on flight plan) |
50–100 km |
Line spacing |
Not specified (overlap constraints only) |
≤ 2.5 km (main lines) Cross-check ≤ 50 km |
Digital products |
DSM First Pulse (0.25 m) DSM Last Pulse (0.25 m) DTM (0.25 m) Intensity (GeoTIFF) Point Clouds (LAS) |
Topographic correction (4000 m, Copernicus DEM) Gravity disturbance + estimated errors Bouguer anomaly National gravimetric geoid |
Data format |
LAS, GeoTIFF, RINEX, shapefile |
CSV/XML, GeoTIFF, RINEX, shapefile |
Georeferencing |
ETRF2000 (RDN2008) EPSG: 6704/05/06/7794 |
ETRF2000 (RDN2008) EPSG: 6706/7794 |
Grid resolution |
0.25 m x 0.25 m |
2.5 km x 2.5 km |
Delivery |
Cloud + HDD, data divided into “tiles” (1 km² cartographic / 0.01° geographic) |
Cloud + HDD, unique national files for each product |
The data will be made available to institutions to aid in risk evaluation and security, environmental monitoring, infrastructure design, urban planning, and climate resilience. It will also serve as the basis for creating a digital twin of Italy, supporting advanced forecasting and land management strategies, and providing the nation with a state-of-the-art geospatial framework for sustainable development.