Numerical Techniques and Cloud-Scale Processes for High-Resolution Models

2008 ◽  
Author(s):  
James D. Doyle
Keyword(s):  
High Resolution ◽  
Numerical Techniques ◽  
High Resolution Models

scholarly journals Evaluation of the Apple iPhone 12 Pro LiDAR for an Application in Geosciences

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gregor Luetzenburg ◽  
Aart Kroon ◽  
Anders A. Bjørk
Keyword(s):  
High Resolution ◽  
Optical Sensors ◽  
Cost Effective ◽  
Point Clouds ◽  
3D Models ◽  
Absolute Accuracy ◽  
Wide Range ◽  
Financial Investments ◽  
Coastal Cliff ◽  
High Resolution Models

AbstractTraditionally, topographic surveying in earth sciences requires high financial investments, elaborate logistics, complicated training of staff and extensive data processing. Recently, off-the-shelf drones with optical sensors already reduced the costs for obtaining a high-resolution dataset of an Earth surface considerably. Nevertheless, costs and complexity associated with topographic surveying are still high. In 2020, Apple Inc. released the iPad Pro 2020 and the iPhone 12 Pro with novel build-in LiDAR sensors. Here we investigate the basic technical capabilities of the LiDAR sensors and we test the application at a coastal cliff in Denmark. The results are compared to state-of-the-art Structure from Motion Multi-View Stereo (SfM MVS) point clouds. The LiDAR sensors create accurate high-resolution models of small objects with a side length > 10 cm with an absolute accuracy of ± 1 cm. 3D models with the dimensions of up to 130 × 15 × 10 m of a coastal cliff with an absolute accuracy of ± 10 cm are compiled. Overall, the versatility in handling outweighs the range limitations, making the Apple LiDAR devices cost-effective alternatives to established techniques in remote sensing with possible fields of application for a wide range of geo-scientific areas and teaching.

A multi-resolution workflow to generate high-resolution models constrained to dynamic data

2011 ◽  
Vol 15 (3) ◽  
pp. 545-563 ◽  
Author(s):  
Céline Scheidt ◽  
Jef Caers ◽  
Yuguang Chen ◽  
Louis J. Durlofsky
Keyword(s):  
High Resolution ◽  
Dynamic Data ◽  
High Resolution Models

Topographic stress parameterization in a quasi-geostrophic barotropic model

1997 ◽  
Vol 341 ◽  
pp. 1-18 ◽  
Author(s):  
WILLIAM J. MERRYFIELD ◽  
GREG HOLLOWAY
Keyword(s):  
High Resolution ◽  
Physical Basis ◽  
Statistical Equilibrium ◽  
Low Resolution ◽  
Barotropic Model ◽  
High Resolution Models ◽  
Potential Enstrophy

The physical basis for parameterizing topographic stress due to unresolved eddies is examined in a quasi-geostrophic barotropic model. Topographic stress parameterization is shown to represent two effects of eddies: attraction of the flow to a statistical equilibrium featuring topographically correlated mean currents, and dissipation of potential enstrophy. Performance is evaluated by comparing parameterized low-resolution models with explicit high-resolution models.

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