GAL Project Galileo for Gravity

Transcription

1 GAL Project Galileo for Gravity Galileian Plus srl via Tiburtina Roma Angelo Amodio

2 Collaborative Project Grant # GAL Project Call identifier: FP7-GALILEO-2011-GSA-1-a, topic addressed: GALILEO (Use of Galileo and EGNOS for Scientific Applications and innovative applications in new domains) Publication/Deadline: 20 July/16 December 2010 Start of the project: 15/02/2012 Duration: 24 months

3 Objective The target of GAL project is to study, design and develop an innovative methodology to make Kinematic Airborne Gravimetry (KAG) technique an operational tool suitable for different scientific, institutional and commercial applications. The key issue is the joint use of most recent techniques and technologies, such as Galileo, EGNOS, GPS and strapdown Inertial Measurement Units (IMU), and its further integration with GOCE global models.

4 Consortium Galileian Plus srl Rome, Italy (coordinator) Politecnico di Milano Milan, Italy Institut de Geomàtica Barcelona, Spain Deimos Engenharia Lisbon, Portugal Institut Geològic de Catalunya Barcelona, Spain École Polytechnique Fédérale de Lausanne Lausanne, Switzerland

5 GAL project represents continuity for Galileian Plus Projects with scientific partners (coordination): ASI (SISMA, VULSAR, Magia, GeoGPS, Sistema Rischio Vulcanico, GOCE Italy) FP6 (Geolocalnet) Gravimetry: GOCE Italy GNSS processing SW: NDA Lite NDA Pro

6 Concept GAL will exploit the mechanization equation d 2 x / dt 2 = f + g(x) d 2 x / dt 2 : geometric acceleration of the vehicle x: coordinates of the IMU navigation center f: accelerometer measurements g(x): gravity vector

7 Rationale The use of aircraft for gravity measurements is not new; already in the late 1950s it was clear that airborne gravimetry could be more useful and cost effective w.r.t. terrestrial gravimetry An airborne gravimetry survey in an area with no ground infrastructure can provide nowadays a trajectory at the level of 20/30 cm accuracy (15-20 mgal) With the exploitation of modernized GNSS (including Galileo) this performance could be improved by a factor of 3 or 4 in areas with no ground support, even better in areas with ground infrastructure Combination of satellite-derived global gravity models (GOCE) with airborne-derived local models.

8 Applications Many applications need precise and resolute gravity field information, from scientific to institutional and commercial.

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10 COTS «GRANADA» Extension for GALILEO data simulation (WP4300) Simulated GALILEO data GNSS libraries from GPLUS NDA COTS Integration modality TBD Terrestrial Static Gravity campaign (WP6100) GPS data GNSS multi-constellation processing SW (WP 3200) Terrestrial Kinematic Gravity campaign (WP6200) Airborne Kinematic Gravity campaign (WP6300) Input Data Acquisition Multipath identification (WP3400) GNSS Processing INS data GNSS-derived trajectory

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13 Conclusion To reach desired performance, particular care must be taken in GNSS processing and GNSS/INS integration strategy Many applications may find benefits from GAL, in particular mineral prospecting and regional geological surveys; it is up to us to find the market

14 References Website: