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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T18:26:39Z</responseDate> <request identifier=oai:HAL:hal-01217120v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01217120v1</identifier> <datestamp>2018-01-11</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:info</setSpec> <setSpec>subject:sdu</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:GM</setSpec> <setSpec>collection:AGROPOLIS</setSpec> <setSpec>collection:INSU</setSpec> <setSpec>collection:B3ESTE</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:UNIV-MONTPELLIER</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>GravProcess: An easy-to-use MATLAB software to process campaign gravity data and evaluate the associated uncertainties</title> <creator>Cattin, Rodolphe</creator> <creator>MAZZOTTI, Stephane</creator> <creator>Baratin, Laura-may</creator> <contributor>Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Risques ; Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS) - Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor> <description>International audience</description> <source>ISSN: 0098-3004</source> <source>Computers and Geosciences</source> <publisher>Elsevier</publisher> <identifier>hal-01217120</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-01217120</identifier> <source>https://hal.archives-ouvertes.fr/hal-01217120</source> <source>Computers and Geosciences, Elsevier, 2015, 81, pp.20-27. 〈10.1016/j.cageo.2015.04.005〉</source> <identifier>DOI : 10.1016/j.cageo.2015.04.005</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cageo.2015.04.005</relation> <language>en</language> <subject lang=en>Gravity data processing</subject> <subject lang=en>Terrain correction</subject> <subject lang=en>Tide correction</subject> <subject lang=en>Gravity anomaly</subject> <subject>[INFO.INFO-MS] Computer Science [cs]/Mathematical Software [cs.MS]</subject> <subject>[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>We present GravProcess, a set of MATLAB routines to process gravity data from complex campaign surveys and calculate the associated gravity field. Data reduction, analysis, and representation are done using the MATLAB Graphical User Interface Tool, which can be installed on most systems and platforms. Data processing is divided into several steps: (1) Integration of gravity data, station location, and gravity line connection input files; (2) Gravity data reduction applying solid-Earth tide and instrumental drift corrections and, depending on the required processing level, air pressure and oceanic tidal corrections; (3) Automatic network adjustment and alignment to absolute base stations; (4) Free air and terrain corrections to calculate gravity values and anomalies, and to estimate the associated errors. The final step is dedicated to post-processing and includes graphical representations of data and an output text file, which can be used by Geographic Information System software. An example of this processing chain applied to a recent survey in northern Morocco is given and compared with previous available results.</description> <date>2015-08</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>