Results 51 to 60 of about 37,687 (235)
Application of DInSAR-GPS optimization for derivation of fine-scale surface motion maps of Southern California [PDF]
, 2007 A method based on random field theory and Gibbs-Markov random fields equivalency within Bayesian statistical framework is used to derive 3-D surface motion maps from sparse global positioning system (GPS) measurements and differential interferometric ...
Li, Z. +3 more
core +1 more source
Image Inpainting by Kriging Interpolation Technique
CoRR, 2013 6 pages, 9 figures, 1 ...
openaire +2 more sources
Deep Underground Science and Engineering, EarlyView.The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source
A generative deep neural network as an alternative to co-kriging
Applied Computing and GeosciencesIn geosciences, kriging is leading spatial interpolation, and co-kriging is the most commonly used method for accomplishing spatial interpolation of a target variable by incorporating information from a secondary variable.
Herbert Rakotonirina +3 more
doaj +1 more source
Heat Transfer, EarlyView.ABSTRACT Compact plate‐fin heat exchangers (PFHEs) are commonly utilized in diverse industries, including aerospace, automotive, processing, and space. Various fin configurations, such as Plain fins, Wavy fins, Lance and Offset fins (OSFs), Perforated fins, louvered fins, and pin fins, are employed in compact heat exchangers (CHEs).
Chennu Ranganayakulu
wiley +1 more source
Geostatistical interpolation of daily rainfall at catchment scale: the use of several variogram models in the Ourthe and Ambleve catchments, Belgium [PDF]
Hydrology and Earth System Sciences, 2011 Spatial interpolation of precipitation data is of great importance for hydrological modelling. Geostatistical methods (kriging) are widely applied in spatial interpolation from point measurement to continuous surfaces.
S. Ly, C. Charles, A. Degré
doaj +1 more source
Spatial characteristics of thunderstorm rainfall fields and their relation to runoff [PDF]
, 2003 The main aim of this study was to assess the ability of simple geometric measures of thunderstorm rainfall in explaining the runoff response from the watershed. For calculation of storm geometric properties (e.g.
Goodrich, DC +3 more
core +1 more source
Kriging: a method of interpolation for geographical information systems
International journal of geographical information systems, 1990 Geographical information systems could be improved by adding procedures for geostatistical spatial analysis to existing facilities. Most traditional methods of interpolation are based on mathematical as distinct from stochastic models of spatial variation.
Oliver, M. A., Webster, R.
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International Journal of Climatology, EarlyView.Over the past 60 years, noticeable changes have been observed in the main hydroclimatological variables, driven by both natural and anthropogenic factors. In the context of climate change, such behaviour may adversely affect the state's economic activities, as well as increase the recurrence of extreme events in the region.
Ronaldo Guilherme Santos Lima +4 more
wiley +1 more source
, 2016 This paper aims to describe spatial interpolation methods to estimate surface air temperatures (SATs). The SAT at a particular location where SAT observations are not available is estimated through a Kriging interpolation between SAT measurements from ...
FAN, Fu-lin, Li, Jing-si, Pan, Run-qiu
core +1 more source