Vitalii, Niraj and I talked about how to proceed with the aerial images from Skalanes. For now we are going to focus on two aspects, identifying possibly anthropomorphic surface features and measuring the extent of the lupine. There are a couple of algorithms that look promising for feature ID but they require stereo images. We will look into doing that next year. There is also at least one approach that uses mono images that they will start with. The automated image conversion scripts they wrote will be used to tune the input characteristics of the images for the algorithm(s). We haven’t decided on an approach yet for the lupine but I did have an idea for doing it based on a color map seeded with human input. It’s on the back of an envelope in the Hopper lab…
I’ve been doing research on the archaeology site survey project — trying to determine where the sites are at Skalanes, without having to excavate the site. I’ve determined that people do what’s called a ‘Geophysical Survey’ which is a non-destructive way to determine where their are sites.
There are differents methods:
- Electrical Resistance
- Using (usually) four metal probes stuck into the ground measuring electrical resistance. Many archaeological site characteristics will have different electrical resistance from their surroundings. For example, a stone wall structure might impede the flow of electricity, and organic materials in soil might conduct electricity more easily.
- Electromagnetic Conductivity
- Measuring the conductivity of the soil. A magnetic field is created underground by sending a current with a known frequency and magnitude. The currents spur a secondary current in underground conductors that is picked up by a receiving coil. Less sensitive than resistance meters.
- Measuring the gradient of the magnetic field of the Earth ( gradiometers), provides resolution of small near-surface occurrences. Magnetometers react very strongly to iron and steel, brick, burned soil, and many types of rock, and archaeological features composed of these materials are very detectable. It is often possible to detect disturbances in organic material.
- Ground Penetrating Radar