Augmented Gravity Field Modelling by Combining EIGEN_6C4 and Topographic Potential Models

Global Gravity Field Determination by Combining Goce and Complementary Data

GOCE gravity fields define a new standard concerning spectral resolution of satellite-only models, and provide a very high precision in the longand medium wavelength part of the gravity field up to a spherical harmonic degree of about 250. Combining GOCE with GRACE data, which gives in addition very accurate information for the long wavelength part, results in the current performance status of ...

Band - limited topographic mass distribution generates full - spectrum 4 gravity field – gravity forward modelling in the spectral and spatial

24 Most studies on gravity forward modelling in the spectral domain truncate the gravitational 25 potential spectra at a resolution commensurate with the input topographic mass model. This 26 implicitly assumes spectral consistency between topography and implied topographic potential. 27 Here we demonstrate that a band-limited topographic mass distribution generates gravity signals 28 with spec...

Modelling Topographic Potential for Erosion and Deposition Using GIS

Modeling of erosion and deposition in complex terrain within a geographic information system (GIS) requires a high resolution digital elevation model (DEM), reliable estimation of topographic parameters, and formulation of erosion models adequate for digital representation of spatially distributed parameters. Regularized spline with tension was integrated within a GIS for computation of DEMs an...

Ellipsoidal topographic potential – new solutions for spectral forward 5 gravity modelling of topography with respect to a reference ellipsoid

Estimating The Potential for Combining Learning Models

This research describes the COD (Classifier Output Difference) distance metric for finding similarity between hypotheses and learning algorithms. This metric is a tool which can be used to measure how similar two hypotheses are. It goes beyond simple accuracy comparisons and provides insights about fundamental differences between learning models. This paper describes how COD works and shows how...