Calders, K; Verbeek, H; Burt, A; Origo, N; Nightingale, J; Malhi, Y; Wilkes, P; Raumoner, P; Bunce, R G H; Disney, M (2022) Laser scanning reveals potential underestimation of biomass carbon in temperate forests. Ecological Solutions and Evidence, 3 (4). e12197

Brown, L A; Camacho, F; Garcia-Santos, V; Origo, N; Fuster, B; Morris, H; Pastor-Guzman, J; Sanchez-Zapero, J; Morrone, R; Ryder, J; Nightingale, J; Boccia, V; Dash, J (2021) Fiducial Reference Measurements for Vegetation Bio-Geophysical Variables: An End-to-End Uncertainty Evaluation Framework. Remote Sensing, 13 (16). 3194

Terryn, L; Calders, K; Disney, M; Origo, N; Malhi, Y; Newnham, G; Raumonen, P; Å kerblom, M; Verbeeck, H (2020) Tree species classification using structural features derived from terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 168. pp. 170-181. ISSN 09242716

Origo, N; Gorrono, J; Ryder, J; Nightingale, J; Bialek, A (2020) Fiducial Reference Measurements for validation of Sentinel-2 and Proba-V surface reflectance products. Remote Sensing of Environment, 241. 111690 ISSN 00344257

Grotti, M; Calders, K; Origo, N; Puletti, N; Alivernini, A; Ferrara, C; Chianucci, F (2020) An intensity, image-based method to estimate gap fraction, canopy openness and effective leaf area index from phase-shift terrestrial laser scanning. Agricultural and Forest Meteorology, 280. 107766 ISSN 01681923

Calders, K; Origo, N; Disney, M; Nightingale, J; Woodgate, W; Armston, J; Lewis, P (2018) Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index. Agricultural and Forest Meteorology, 252. pp. 231-240.

Calders, K; Disney, M*; Armston, J*; Burt, A*; Brede, B*; Origo, N; Muir, J*; Nightingale, J (2017) Evaluation of the range accuracy and the radiometric calibration of multiple terrestrial laser scanning instruments for data interoperability. IEEE Trans. Geosci. Remote Sens., 55 (5). pp. 2716-2724.

Origo, N; Calders, K; Nightingale, J; Disney, M* (2017) Influence of levelling technique on the retrieval of canopy structural parameters from digital hemispherical photography. Agricultural and Forest Meteorology, 237. pp. 143-149.

Nightingale, J; Scanlon, T; Origo, N; Calders, K; Fox, N P; Muller, J-P* (2016) Development of robust quality assurance procedures for terrestrial essential climate variable data products derived from earth observation satellites. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10-15 July 2016, Beijing, China.

Calders, K; Burt, A*; Origo, N; Disney, M*; Nightingale, J; Raumonen, P*; Lewis, P* (2016) Large-area virtual forests from terrestrial laser scanning data. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10-15 July 2016, Beijing, China.

Origo, N; Nightingale, J (2015) Sampling and scaling for satellite biophysical product validation from optical sensors with an emphasis on tropical forests. NPL Report. OP 11

Barker, A; Origo, N; Nightingale, J (2015) Quality assurance framework for forest monitoring programmes. NPL Report. OP 10