Hyperspectral Images from Neolithic Stone Age Rock Paintings: Halsvuori Finland

This data release contains 7 hyperspectral images from Neolithic stone age rock paintings. Each HS image is in envi format, stored into a .zip file, containing capture, metadata and results folders. Capture folder has white and dark currents and spectral raw data. Metadata contains metainformation and results folder contains the computed reflectance images. In the root of every folder, there is a .png image, captured simuntaneously with spectral data. For preview, the png:s are also uploaded separately. The white rectangle visualises the area the spectral cube is recorded. The original ground truth of these images is written in the below mentioned text, and there are images of all of the mentioned figures. A spectral analysis may reveal hidden features and give a basis for new interpretations such is in out IEEE Igars article below. HS images were captured using Specim IQ imager in August 2019 in the town of Jyväskylä, located in the middle of Finland. The name of the rock painting site is Halsvuori. According to literature, the Halsvuori has six figures: Two humans in front poses with raised hands. One human has bent legs; the other one’s legs are faded. Both human figures hold small animals in one of their hands; the animal figures represent small game animals [1]. Two stains, probably hand shapes, are one and a half meters away from the humans. All figures are described as small, and the visibility varies; some are recognisable and almost intact, and some are worn, fragmented or scattered areas of paint [2, 1]. The authenticity of the hand stains being as old as the human figures is not clear [3]. Halsvuori paintings are hidden in the woods, near a small pond [3]. IMPORTANT! WHILE THIS DATASET IS OPEN TO USE, please cite also to to our original article: Raita-Hakola, A.-M., Rahkonen, S., Pölönen, I. (2024, July). Revealing hidden art: Authenticating and unveiling neolithic rock paintings through advanced hyperspectral imaging techniques. In IGARSS 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE. The code of the analysis, preprint and more details of HS data are currently available upon request, uploaded here after the conference article is published. Most of the included reference literature is written in Finnish, the authors may if needed help with it.