A Pipeline for Large-Scale Archaeological Site Detection: Integrating Remote Sensing Data with Historical Maps

This repository contains data supporting the paper
Albrecht, R. (2027). A Pipeline for Large-Scale Archaeological Site Detection: Integrating Remote Sensing Data with Historical Maps. In: Dimitri, G.M., Aslan, S., Montanelli, S., Ravanelli, M., Subakan, C., Trentin, E. (eds) Artificial Neural Networks in Pattern Recognition. ANNPR 2026. Lecture Notes in Computer Science(), vol 16978. Springer, Cham. https://doi.org/10.1007/978-3-032-39028-8_34

Each .zip folder contains the labelled data separated by region:

• Khabur.zip
• Iraq.zip
• Uzbekistan.zip

The images in Khabur.zip are taken from Vadineanu et al. (2023) and are under a CC-BY-SA 4.0 license.
For the images in Iraq.zip and Uzbekistan.zip the tiles are taken from the Corona atlas project around labels provided by Casini et al. (2023) and they are also under the CC-BY-SA 4.0 license.

All maps used from the Perry Castañeda library are in the maps.zip file.
The maps are licensed as CC0, courtesy of the University of Texas Libraries, The University of Texas at Austin.

References

Casana, J., Cothren, J.: The corona atlas project: Orthorectification of corona satellite imagery and regional-scale archaeological exploration in the near east. In: Mapping archaeological landscapes from space, pp. 33–43. Springer (2012)
Casini, L., Marchetti, N., Montanucci, A., Orrù, V., Roccetti, M.: A human–ai collaboration workflow for archaeological sites detection. Scientific Reports 13(1), 8699 (2023)
Vadineanu, S., Kalayci, T., Pelt, D.M., Batenburg, K.J.: Convolutional neural networks and their activations: An exploratory case study on mounded settlements. Journal of Computer Applications in Archaeology 7(1) (2024)