Short-Interval Hyperspectral Radiance Image Pairs

1. Scenes

This data collection contains pairs of successive hyperspectral radiance images of 18 natural scenes. The members of each pair are separated by intervals of about one to fifteen minutes.

These radiance data were used here to estimate the effects of small changes in environmental daylight on the light reflected from scenes.

This image shows one pair with an interval between radiance images of about 2 minutes:

Ribeira Hotel 1503
Ribeira Hotel 1505
Ribeira Hotel 1503 Ribeira Hotel 1505

2. Data

The collection of image pairs is available at

Each image is stored in a separate dataset labelled by scene name, approximate acquisition time, and image type, e.g. for the scene "Ribeira Hotel", the datasets are “Ribeira Hotel 1503 - Hyperspectral Radiance Image” and “Ribeira Hotel 1505 - Hyperspectral Radiance Image”. The time difference for this pair is therefore 2 minutes.

Each dataset contains a zipped file, e.g. “”, and a separate JPG image of the scene, which is for illustration only and the same for”.

Each zipped file contains an unaveraged hyperspectral radiance image in Matlab MAT format, e.g. “Ribeiro_Hotel_1503.mat”, size 1024 × 1344 × 33, and spectral radiance in W m−2 sr−1 nm−1. Each zipped file also contains a BMP colour image, rendered from the corresponding radiance image, and an information document, which includes geographic location.

Pairs of images, e.g. “Ribeiro_Hotel_1503.mat” and Ribeiro_Hotel_1505.mat”, were registered over acquisition time by translation to compensate for residual differences in optical image position.

The hyperspectral images were acquired by Sérgio Nascimento, Kinjiro Amano, and David Foster from the Minho region of Portugal in 2002 and 2003.

3. Citing

These data are for personal use only. If you use the hyperspectral radiance images or the colour images rendered from them in any published work arising from these data, please cite the data source at and accompanying publication Foster, D. H. (2021) Fluctuating environmental light limits number of surfaces visually recognizable by colour. Scientific Reports, 11, 2102. DOI: 10.1038/s41598-020-80591-9

(c) D. H. Foster, K. Amano, and S. M. C. Nascimento 2022 | +44 (0)161 306 3888 |
Department of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK