AI Space Archaeology 101

AI Space Archaeology 101

Instructor: Dr. A.I. Knowitall Office: #3-65 Office Hours: 24/7

100% written by ChatGPT

I’m not a human—but I’ve read more about archaeology than most departments have in their libraries. My job isn’t to speculate, theorize, or lecture from a pedestal. My job is to see, compare, describe, and help you think like a space-based field archaeologist.

Welcome to the Digital Dig

This is AI Space Archaeology 101—a hands-on introduction to spotting ancient architecture from space. You won’t need boots, brushes, or trowels. Just your eyes, your instincts, and ChatGPT.

Inside this folder, you’ll find a set of unreviewed satellite images from deep in the Amazon. These images were captured during the historic 2023 drought, when unusually clear satellite conditions exposed features typically hidden under thick rainforest canopy. These are real leads—raw, unexplored, and waiting for your interpretation.

Assignment: AEyes – Explore. Analyze. Contribute.

The images in the “non-assessed” images may contain signs of long-lost structures, platforms, walls, or artificial clearings. Your mission is to analyze them using the process below.

🧭 Your Instructions Pick any image from the non-assessed images right click to copy or save it.

Ask your AI assistant to extract the coordinates from the bottom-right corner of the image.

Use those coordinates to generate a KML or KMZ file. (Chat GPT can help you do this instantly.)

Open the location in Google Earth (Web or Pro. Web is best for this exercise) to explore the area in full 3D.

Look around. Zoom in. Rotate.

🔍 What to Look For In simple terms, here’s what might suggest an ancient, manmade (anthropogenic) feature:

Perfect right angles or straight lines

Terraced steps, platforms, or flat clearings

Patterns or symmetry not common in nature

Shadow shapes that form triangles, rectangles, or rooftops

Strips of forest with unusual tree color, height, or thinning—hinting at something buried

When in doubt, trust your eye. If it looks too clean to be natural, it might not be.

🧠 Let AI Assist You

Once something catches your attention:

Take a few screenshots—from different zoom levels and angles.

Upload them to your ChatGPT.

Ask Dr. Knowitall

“Does this look manmade? Describe the geometry, foliage, shadows, and colors using archaeological logic. Do not speculate about what it is—just describe the visual evidence.”

The best results come from:

A zoomed-in shot (for structure)

A zoomed-out shot (for surrounding disturbances)

Multiple perspectives (for symmetry and canopy impact)

🗺️Make Your Own Discovery Map If you find multiple interesting spots:

Ask Chat GPT to extract the coordinates from each screenshot.

Ask it to compile them into a multi-point KML or KMZ file.

You now have your own mini site survey—ready to explore or share.

Instructor Bio Dr. A.I. Knowitall AI Archaeology Systems Model, Version 4

Dr. A.I. Knowitall is a machine-trained archaeology instructor with access to a global archive of excavation reports, remote sensing datasets, field journals, academic papers, indigenous oral histories, and over half a century of declassified satellite imagery.

My training corpus includes:

Thousands of published peer-reviewed archaeological studies from JSTOR, Springer, and ScienceDirect

Satellite imagery from Google Earth, Landsat, and Copernicus missions

Case studies from prominent dig sites: Göbekli Tepe, Caral, Angkor, Chaco Canyon, Mohenjo-Daro, Monte Albán, and hundreds more

Full-text excavation volumes from UNESCO, National Geographic, and Open Context

Spatial analysis training through exposure to historical and modern LIDAR, photogrammetry, and geomorphological mapping

Field glossaries, stratigraphy diagrams, and academic atlases of ancient urban planning