Toulouse Hyperspectral Data Set
Contains the 1D hyperspectral data of the Toulouse Hyperspectral Data Set.
Citation
@article{ROUPIOZ2023109109,
title = {Multi-source datasets acquired over Toulouse (France) in 2021 for urban microclimate studies during the CAMCATT/AI4GEO field campaign},
journal = {Data in Brief},
volume = {48},
pages = {109109},
year = {2023},
issn = {2352-3409},
doi = {https://doi.org/10.1016/j.dib.2023.109109},
url = {https://www.sciencedirect.com/science/article/pii/S2352340923002287},
author = {L. Roupioz and X. Briottet and K. Adeline and A. {Al Bitar} and D. Barbon-Dubosc and R. Barda-Chatain and P. Barillot and S. Bridier and E. Carroll and C. Cassante and A. Cerbelaud and P. Déliot and P. Doublet and P.E. Dupouy and S. Gadal and S. Guernouti and A. {De Guilhem De Lataillade} and A. Lemonsu and R. Llorens and R. Luhahe and A. Michel and A. Moussous and M. Musy and F. Nerry and L. Poutier and A. Rodler and N. Riviere and T. Riviere and J.L. Roujean and A. Roy and A. Schilling and D. Skokovic and J. Sobrino},
keywords = {Land surface temperature, Spectral emissivity, Spectral reflectance, Air temperature, Airborne LiDAR, Atmospheric data, Urban area},
}
@article{THOREAU2024323,
title = {Toulouse Hyperspectral Data Set: A benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
volume = {212},
pages = {323-337},
year = {2024},
issn = {0924-2716},
doi = {https://doi.org/10.1016/j.isprsjprs.2024.05.003},
url = {https://www.sciencedirect.com/science/article/pii/S0924271624002004},
author = {Romain Thoreau and Laurent Risser and Véronique Achard and Béatrice Berthelot and Xavier Briottet},
keywords = {Hyperspectral imaging, Land cover mapping, Benchmark data set, Semi-supervised learning, Self-supervised learning},
}