#17 - Giza Pyramid Scans Explained | Dr. Filippo Biondi & Dr. Armando Mei

#17 - Giza Pyramid Scans Explained | Dr. Filippo Biondi & Dr. Armando Mei

What’s really under Giza? In this episode of the Ancient Technology Podcast, Karoly sits down with Filippo Biondi (satellite/SAR specialist) and Armando Mei (Giza researcher) to translate the buzz around pyramid “scans” into plain English. We break down how satellite synthetic aperture radar (SAR), muon tomography, and seismic methods actually work, what they can (and can’t) see, and how new processing pipelines can surface hidden structures and water signatures beneath the Giza Plateau.

Filippo explains measuring resonance and micro-movements from space (Doppler/phase analysis) and how those techniques adapt to ancient monuments. Armando walks through site alignments, long-standing hypotheses, and why detector placement matters for the well-known “big void” above the Grand Gallery. Together we compare signals reported at Khufu (Great Pyramid), discuss targeted scanning around Khafre and the Sphinx, and outline a practical roadmap for future surveys—minus the hype.

Filippo Biondi's website: https://www.harmonicsar.com/

Armando Mei on youtube: https://www.youtube.com/@ArmandoMei

Cosmic Summit presentation of Filippo and Armando: https://cosmicsummit.live/content/dr-filippio-biondi-armando-mei


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SHOW NOTES:

0:00:00 - Intro

0:03:28 - How did the research begin

0:06:16 - How the satellite Doppler method works

0:08:30 - Hidden chambers in the Great Pyramid

0:13:12 - How the SAR measurements work

0:17:35 - Physics & astronomy correlations (Sphinx, Orion, precession)

0:23:49 - How can we see underground

0:34:17 - Underground pillars & network across Giza

0:42:21 - Validation tests; tunnels, water & Osiris shaft

0:49:17 - Tools & processing (Matlab, CPU vs GPU)

0:50:24 - Next sites to scan

0:53:54 - Tunnel under the Sphinx

0:54:57 - Other interesting sites

0:57:40 - ScanPyramids and muon scan comparison

1:07:15 - Scanning depth limits & future system

1:10:59 - Team

1:12:22 - Debunkers

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