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The Kriging Cloud Computing Framework: Interpolation Of Topography By Cloud Computing With The Kriging Algorithm, Cheng-Tsan Lai, Sung-Shan Hsiao, Hui-Ming Fang, Edward H. Wang
The Kriging Cloud Computing Framework: Interpolation Of Topography By Cloud Computing With The Kriging Algorithm, Cheng-Tsan Lai, Sung-Shan Hsiao, Hui-Ming Fang, Edward H. Wang
Journal of Marine Science and Technology
Spatial information surveyed by photogrammetry, airborne LiDAR and Mobile Measurement System (MMS) above ground level can be analyzed by scientists using standard geostatistical methodologies such as ordinary Kriging and sequential Gaussian simulation to interpolate heterogeneities of profiles from sparse sample data. Proven effective by researchers, the Kriging algorithm model is used by commercial data analysis packages for instant interpolation. However, meaningful and reliable results only come with a comprehensive understanding of the variogram associated with valid mathematical functions. To capture spatial landscape variations from massive sample grids of satellite images, this paper presents a cloud computing-based automation approach to improve …