Global networks of low cost, three axis, time of flight gravimeters and gradiometers for 3D imaging of the Earth, atmosphere and oceans
Anton Petrov: Evidence of a Donut Like Structure Hidden Inside Planet Earth at https://www.youtube.com/watch?v=GljciCwOfyc
Gravitational imaging arrays using low cost but very sensitive gravitational sensors can use time of flight correlation to image regions anywhere inside the earth at high resolution. There are many desktop, even portable alternatives. Atomic clocks, gravity gradiometers, many kinds of gravimeters, some of the “quantum detectors” and more. Many groups can take advantage of multiple improvements in low noise amplifiers, ADCs, data engineering, machine learning and more. Plus better global sharing and integration of data from many source and very different types.
These are “speed of light and gravity” signals, not seismic. And they can track in near real time the seismic signal, and after the fact from recordings. So it gives an independent look at what is going on. Mapping the interior of the earth by temperature, density, pressure, and then by elements, isotopes and molecular species means better benchmarks and constraints on models of everything going on inside the earth. More aggressive three axis, real time, high sampling rate measure of the magnetic and gravitational fields will mean a complementary model to view and make sense of the seismic datasets.
Yes, the global open sharing of all geophysical, satellite, solar system, astrophysical, communication, and power system field data is happening and making it possible (by correlation and machine learning) to fill in the gaps, plan and very deliberately design new sensor arrays.
Filed as (Global networks of low cost, three axis, time of flight gravimeters and gradiometers for 3D imaging of the Earth, atmosphere and oceans)
Richard Collins The Internet Foundation
