You can find up to date publications on google scholar.

Publications

Liu, W., Atherton, J., Mõttus, M., Malenovský, Z., Luo, S., Zhang, Y. and Gastellu-Etchegorry, J.P., 2023. Analysing far-red SIF directional anisotropy of three structurally contrasting forest canopies towards improved GPP estimation. Agricultural and Forest Meteorology, 338, p.109531.https://www.sciencedirect.com/science/article/pii/S0168192323002228

Ribas Costa, V.A., Durand, M., Robson, T.M., Porcar‐Castell, A., Korpela, I. and Atherton, J., 2022. Uncrewed aircraft system spherical photography for the vertical characterization of canopy structural traits. New Phytologist, 234(2), pp.735-747. https://nph.onlinelibrary.wiley.com/doi/full/10.1111/nph.17998

Theses

Iiro Miettinen, 2023. Monitoring Scots pine seedlings’ response to drought using hyperspectral imaging, Master's Program of Forest Sciences Forest Ecology and Management, University of Helsinki. thesis link

Published datasets

Atherton, J., Alonso Chorda, L., Suomalainen, J., Miettinen, I., Kuurasuo, J., & Hakala, T. (2024). DJI Mavic 3 Multispectral Edition spectral response functions [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11102543

Miettinen, I., Chao, Z., Fernández-Marin, B., García-Plazaola, J. I., & Atherton, J. (2024). Data from: Hyperspectral imaging reveals reversible carotenoid responses and irreversible chlorophyll responses to water stress in Scots pine [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11384674

Jon Atherton, & Vicent Ribas Costa, 2022. UAS spherical photography for the vertical characterisation of canopy structural traits (2.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5877899