FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048774807> ?p ?o ?g. }

• W3048774807 abstract "Regional gravity field modelling by means of remove-restore procedure is nowadays widely applied in different contexts, by geodesists and geophysicists: for instance, it is the most used technique for regional gravimetric geoid determination and it is used in exploration geophysics to predict grids of gravity anomalies. In the present work in addition to a review of the basic concepts of the classical remove-restore, some new algorithms to compute the so called terrain correction (required to reduce the observed gravitational signal), and to model the stochastic properties (in terms of covariance function) of the gravitational signal, required to grid sparse observations have been studied and implemented.Geodesists and geophysicists have been concerned with the computation of the vertical attraction due to the topographic masses, the so called Terrain Correction, for high precision geoid estimation and to isolate the gravitational effect of anomalous masses in geophysical exploration. The increasing resolution of recently developed digital terrain models, the increasing number of observation points due to extensive use of airborne gravimetry in geophysical exploration, and the increasing accuracy of gravity data introduce major challenges for the terrain correction computation. Moreover, classical methods such as prism or point masses approximations are indeed too slow, while Fourier based techniques are usually too approximate for the required accuracy.A new hybrid prism and FFT-based software, called GTE, which was thought explicitly for geophysical applications, was developed in order to compute the terrain corrections as accurate as prism and as fast as Fourier-based software. GTE does not only consider the effects of the topography and the bathymetry but also those due to sedimentary layers and/or to the Earth crust-mantle discontinuity (the so called Moho). After recalling the main classical algorithms for the computation of the terrain correction, the basic mathematical theory of the software and its practical implementation are explained. GTE showed high performances in computing accurate terrain corrections in a very short time with respect to GRAVSOFT and Tesseroids.The slowest GTE profiler has a superior performance in terms of computational time to compute the terrain effects on grids with constant heights, sparse points and on the surface of the provided digital elevation model than both of GRAVSOFT and Tesseroids. While, the fast profiler is able to give an overview with a standard deviation of the errors below the accuracy of the measurements, roughly in a time that is at least one order of magnitude less than the time required by the other software.A filtering procedure for the raw airborne gravity data based on a Wiener filter in the frequency domain that allows to exploit the information coming from all the collected data has been developed and tested too. During this filtering also biases and systematic errors potentially present in airborne data are corrected by means of GOCE satellite observations. A remove-like step, removing the low and high frequencies of the observation, is done in order to reduce the values of the signal to be filtered, which would be restored afterwards in a restore-like step, after filtering the data.The filtering step required almost 7 minutes to filter about 440:000 observations if the Residual Terrain Correction required to reduce the data is available and about 30 minutes if it has to be computed.Gridding the filtered data is done via applying a classical least squares collocation. An innovative idea that allows automatizing the estimation of the covariance matrix, is done by fitting an empirical 2D power spectral density with a series of Bessel functions of the first order and zero degree that assures to gain a positive definite covariance matrix.Finally, the estimation of the along track filtered noise is estimated through performing a cross-over analysis. The study of the expected noise allows to estimate a covariance function of the noise itself giving valuable information to be used (in future works) in the subsequent gridding step. In fact integrating the cross-over analysis within an iterative procedure of filtering and gridding would result in yielding a better grid estimation and noise prediction of airborne gravimetric data.All the above algorithms have been implemented in a suite of software modules developed in C and able to exploit parallel computation and tested on a real airborne survey. The results of these tests as well as the computational times required are also reported and discussed." @default.
• W3048774807 created "2020-08-18" @default.
• W3048774807 creator A5023462920 @default.
• W3048774807 date "2016-01-29" @default.
• W3048774807 modified "2023-09-28" @default.
• W3048774807 title "Airborne gravity field modelling" @default.
• W3048774807 hasPublicationYear "2016" @default.
• W3048774807 type Work @default.
• W3048774807 sameAs 3048774807 @default.
• W3048774807 citedByCount "0" @default.
• W3048774807 crossrefType "journal-article" @default.
• W3048774807 hasAuthorship W3048774807A5023462920 @default.
• W3048774807 hasConcept C113346285 @default.
• W3048774807 hasConcept C11413529 @default.
• W3048774807 hasConcept C120665830 @default.
• W3048774807 hasConcept C121332964 @default.
• W3048774807 hasConcept C127313418 @default.
• W3048774807 hasConcept C13280743 @default.
• W3048774807 hasConcept C139974479 @default.
• W3048774807 hasConcept C14257148 @default.
• W3048774807 hasConcept C14641988 @default.
• W3048774807 hasConcept C151730666 @default.
• W3048774807 hasConcept C161840515 @default.
• W3048774807 hasConcept C187320778 @default.
• W3048774807 hasConcept C199360897 @default.
• W3048774807 hasConcept C202444582 @default.
• W3048774807 hasConcept C202453963 @default.
• W3048774807 hasConcept C205649164 @default.
• W3048774807 hasConcept C2776364302 @default.
• W3048774807 hasConcept C2777904410 @default.
• W3048774807 hasConcept C30399818 @default.
• W3048774807 hasConcept C33923547 @default.
• W3048774807 hasConcept C41008148 @default.
• W3048774807 hasConcept C45374587 @default.
• W3048774807 hasConcept C58640448 @default.
• W3048774807 hasConcept C67666897 @default.
• W3048774807 hasConcept C74650414 @default.
• W3048774807 hasConcept C75172450 @default.
• W3048774807 hasConcept C8058405 @default.
• W3048774807 hasConcept C80989030 @default.
• W3048774807 hasConcept C96342900 @default.
• W3048774807 hasConcept C9652623 @default.
• W3048774807 hasConceptScore W3048774807C113346285 @default.
• W3048774807 hasConceptScore W3048774807C11413529 @default.
• W3048774807 hasConceptScore W3048774807C120665830 @default.
• W3048774807 hasConceptScore W3048774807C121332964 @default.
• W3048774807 hasConceptScore W3048774807C127313418 @default.
• W3048774807 hasConceptScore W3048774807C13280743 @default.
• W3048774807 hasConceptScore W3048774807C139974479 @default.
• W3048774807 hasConceptScore W3048774807C14257148 @default.
• W3048774807 hasConceptScore W3048774807C14641988 @default.
• W3048774807 hasConceptScore W3048774807C151730666 @default.
• W3048774807 hasConceptScore W3048774807C161840515 @default.
• W3048774807 hasConceptScore W3048774807C187320778 @default.
• W3048774807 hasConceptScore W3048774807C199360897 @default.
• W3048774807 hasConceptScore W3048774807C202444582 @default.
• W3048774807 hasConceptScore W3048774807C202453963 @default.
• W3048774807 hasConceptScore W3048774807C205649164 @default.
• W3048774807 hasConceptScore W3048774807C2776364302 @default.
• W3048774807 hasConceptScore W3048774807C2777904410 @default.
• W3048774807 hasConceptScore W3048774807C30399818 @default.
• W3048774807 hasConceptScore W3048774807C33923547 @default.
• W3048774807 hasConceptScore W3048774807C41008148 @default.
• W3048774807 hasConceptScore W3048774807C45374587 @default.
• W3048774807 hasConceptScore W3048774807C58640448 @default.
• W3048774807 hasConceptScore W3048774807C67666897 @default.
• W3048774807 hasConceptScore W3048774807C74650414 @default.
• W3048774807 hasConceptScore W3048774807C75172450 @default.
• W3048774807 hasConceptScore W3048774807C8058405 @default.
• W3048774807 hasConceptScore W3048774807C80989030 @default.
• W3048774807 hasConceptScore W3048774807C96342900 @default.
• W3048774807 hasConceptScore W3048774807C9652623 @default.
• W3048774807 hasLocation W30487748071 @default.
• W3048774807 hasOpenAccess W3048774807 @default.
• W3048774807 hasPrimaryLocation W30487748071 @default.
• W3048774807 hasRelatedWork W1524460150 @default.
• W3048774807 hasRelatedWork W1530055097 @default.
• W3048774807 hasRelatedWork W1574180903 @default.
• W3048774807 hasRelatedWork W1995632722 @default.
• W3048774807 hasRelatedWork W1999962940 @default.
• W3048774807 hasRelatedWork W2006829755 @default.
• W3048774807 hasRelatedWork W2056843105 @default.
• W3048774807 hasRelatedWork W2069201450 @default.
• W3048774807 hasRelatedWork W2101944897 @default.
• W3048774807 hasRelatedWork W2139750654 @default.
• W3048774807 hasRelatedWork W2177757423 @default.
• W3048774807 hasRelatedWork W2296199152 @default.
• W3048774807 hasRelatedWork W2313027102 @default.
• W3048774807 hasRelatedWork W2320798148 @default.
• W3048774807 hasRelatedWork W2616205501 @default.
• W3048774807 hasRelatedWork W2901853789 @default.
• W3048774807 hasRelatedWork W3109430234 @default.
• W3048774807 hasRelatedWork W3122950907 @default.
• W3048774807 hasRelatedWork W56969369 @default.
• W3048774807 hasRelatedWork W2136622443 @default.
• W3048774807 isParatext "false" @default.
• W3048774807 isRetracted "false" @default.
• W3048774807 magId "3048774807" @default.
• W3048774807 workType "article" @default.