Comment on Describing Lava Rheology using Flow Dynamics Information
Describing Lava Rheology using Flow Dynamics Information
This paper is available online at
If ResearchGate would allow links to stable archives, rather than downloads, many “request full text” would not be necessary.
Higher velocity implies higher between frame differences in machine vision and sensor array values. Improving the sensor arrays (bit size, sampling rate, pixel size, spectral resolution) might improve 3D real time viscosity measurements with their associated calibrated models. Modeling to “velocity” only gets you part of the way. If you want to close the modeling loop, also calculate the pixel/voxel changes for real sensors.
You said it was possible, just do it. Infrasound, magnetic, electromagnetic, gravitational, infrared, diffuse photon, acoustic time of flight – lots of complementary data streams. Each sensor array can have a rheological- viscosity algorithm.
