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Insuring the quality of gravity data
Author(s) -
Grandjean Gilles,
Mennéchet C.,
Debéglia N.,
Bonijoly D.
Publication year - 1998
Publication title -
eos, transactions american geophysical union
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/98eo00160
Subject(s) - bouguer anomaly , geology , massif , scale (ratio) , data quality , gravity anomaly , gravity model of trade , quality (philosophy) , sampling (signal processing) , data processing , lithosphere , seismology , geophysics , computer science , geography , cartography , database , tectonics , engineering , paleontology , philosophy , operations management , filter (signal processing) , international trade , business , metric (unit) , oil field , epistemology , computer vision
The GeoFrance 3D programme, which combines geological and geophysical information to produce reliable three‐dimensional models, is devoted to studying crustal and lithospheric structures in France and neighboring countries. In addition to the GeoFrance 3D regional projects, illustrated by the results of the Alps or the Massif Central projects, the Million project compiles geological and geophysical data and insures their quality in order to valorize them by modeling at the million scale. By applying data analysis and validation methodology to gravity data compilation, we discovered that the Bouguer anomaly map only provides a discriminating insight of crustal structures if uncertainties of gravity measurements, sampling heterogeneities, and processing errors are known.

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