Publications

• Bugnicourt, P., Guitet, S., Santos, V. F., Blanc, L., Sotta, E. D., Barbier, N. & Couteron, P. 2018. Using textural analysis for regional landscape mapping, Eastern Guiana Shield. Geomorphology, 317: 23-44. [map].

• Rosca S, Suomalainen J, Bartholomeus H, Herold M. 2018. Comparing terrestrial laser scanning and unmanned aerial vehicle structure from motion to assess top of canopy structure in tropical forests. Interface Focus 8: 20170038.

• Lau, A., Bentley, L. P., Martius, C., Shenkin, A., Bartholomeus, H., Raumonen, P., Malhi, Y., Jackson, T., Herold, M. 2018. Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling. Trees, 32: 1219–1231.

• Jackson, T., Shenkin, A., Wellpott, A., Calders, K., Origo, N., Disney, M., Burt, A., Raumonen, P., Gardiner, B., Herold, M., Fourcaud, T. & Malhi, Y. 2018. Finite element analysis of trees in the wind based on terrestrial laser scanning data. Agricultural of Forest Meteorology, 265: 137-144.

• Lau, A., Martius, C., Bartholomeus, H., Shenkin, A., Jackson, T., Malhi, Y., Herold, M., Bentley, L. P. 2019. Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling. Forest Ecology and Management, 439: 132-145.

• Brede, B., Calders, K., Lau, A., Ramonen, P., Bartholomeus, H. M., Herold, M., Kooistra, L. 2019. Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LiDAR. Remote Sensing of Environment, 233: 111355.

• Jackson, T., Shenkin, A., Moore, J., Bunce, A., van Emmerik, T., Kane, B., Burcham, D., James, K., Selker, J., Calders, K., Origo, N., Disney, M., Burt, A., Wilkes, P., Raumonen, P., Gonzalez de Tanago Menaca, J., Lau, A., Herold, M., Goodman, R. C., Fourcaud, T. & Malhi, Y. 2019. An architectural understanding of natural sway frequencies in trees. J. R. Soc. Interface, 16: 20190116.

• Lau, A., Calders, K., Bartholomeus, H., Martius, C., Raumonen, P., Herold, M., Vicari, M., Sukhdeo, H., Singh, J. & Goodman, R. C. 2019. Tree biomass equations from terrestrial LiDAR: a case study in Guyana. Forests, 10: 527.

• Réjou-Méchain, M., Barbier, N., Couteron, P., Ploton, P., Vincent, G., Herold, M., Mermoz, S., Saatchi, S., Chave, J., de Boissieu, F., Féret, J.-B., Momo Takoudjou, S. & Pélissier, R. 2019. Upscaling forest biomass from field to satellite measurements: sources of errors and ways to reduce them. Surveys in Geophysics, 40: 881-911.

• Jha, N., Tripathi, N. K., Chanthorn, W., Brockelman, W., Nathalang, A., Pélissier, R., Pimmasarn, S., Ploton, P., Sasaki, N., Virdis, S. G. P., & Réjou-Méchain, M. 2019. Forest aboveground biomass stock and resilience in a tropical landscape of Thailand. Biogeosciences, 17: 121-134.

• Momo Takoudjou, S., Ploton, P., Martin-Ducup, O., Lehnebach, R., Fortunel, C., Sagang Takougoum, L. B., Boyemba, F., Couteron, P., Fayolle, A., Libalah, M., Loumeto, J., Medjibe, V., Ngomanda, A., Obiang, D., Pélissier, R., Rossi, V., Yongo, O., PreRedd Collaborators, Sonké, B. & Barbier, N., 2020. Leveraging signatures of plant functional strategies in wood density profiles of African trees to correct mass estimations from terrestrial laser data. Scientific Reports, 10: 2001.

• Ploton, P., Mortier, F., Barbier, N., Cornu, G., Réjou-Méchain, M., Rossi, V., Alonso, A., Bastin, J.-F., Bayol, N., Bénédet, F., Bissiengou, P., Chuyong, G., Demarquez, B., Doucet, J.-L., Droissart, V., Kandem, N. G., Kenfack, D., Memiaghe, H. R., Libalah, M., Sonké, B., Texier, N., Thomas, D., Zebaze, D., Pélissier, R. & Gourlet-Fleury, S. 2020. A map of African humid tropical forest aboveground biomass derived from management inventories. Scientific Data, 7, 221.

• Terryn, L., Calders, K., Disney, M., Origo, N., Malhi, Y., Newnham, G., Ramonen, P. Akerblom, M. & Verbeeck, 2020. Tree species classification using structural features derived from laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 168, 170-181.

• Ploton, P., Mortier, F., Réjou-Méchain, M., Barbier, N., Picard, N., Rossi, V., Dorman, C. Cornu, G., Viennois, G., Bayol, N., Lyapustin, A., Gourlet-Fleury, S. & Pélissier, R. 2020. Spatial validation reveals poor predictive performance of current large scale tropical forest biomass mapping models. Nature Communications, 11, 4540.

• Martin-Ducup, O., Ploton, Barbier, N., Momo Takoudjou, S., Mofack, G. II, Kandem, N., Fourcaud, T., Sonké, B., Couteron, P. & Pélissier, R. 2020. Terrestrial laser scanning reveals convergence of tree architecture with increasingly dominant crown canopy position. Functional Ecology,  34: 2442-2452.

• Jha. N., Tripathi, N. K., Barbier, N., Virdis, S. G. P., Chanthorn, W., Viennois, G., Brockelman, W. Y., Nathalang, A., Tongsima, S., Sasaki, N., Pélissier, R. & Réjou‐Méchain, M.  2021. The real potential of current passive satellite data to map aboveground biomass in tropical forests. Remote Sensing in Ecology and Conservation, https://doi.org/10.1002/rse2.203.

• Réjou-Méchain, M., Mortier, F., Bastin, J.-F., Cornu, G., Barbier, N., Bayol, N., Bénédet, N., Bry, X., Dauby, G., Deblauwe, V., Doucet, J.-L., Doumenge, C., Fayolle, A., Garcia, C., Kibambe, J.-P., Loumeto, J.-J, Ngomanda, A., Ploton, P., Sonké, B., Trottier, C., Vimal, R., Yongo, O., Pélissier, R. & Gourlet-Fleury, S. 2021. Unveilling African rainforest composition and vulnerability to global change. Nature, 593: 90-94.

• Martin-Ducup, O., Mofack, G. II, Wang, D., Raumonen, P., Ploton, P., Sonké, B., Barbier, N., Couteron, P. & Pélissier, R. 2021. Evaluation of automated pipelines for tree and plot metric estimation from TLS data in tropical forest areas. Annals of Botany, 128: 753-765.

• Wang, D., Liang, X., Mofack, G. II & Martin-Ducup, O. 2021. Individual tree extraction from terrestrial laser scanning data via graph pathing. Forest Ecosystems, 8: 67.

• Lamulamu, A., Ploton, P., Birigazzi, L., Xu, L., Saatchi, S. & Kibambe Lubamba, J.-P. 2022. Assessing the Predictive Power of Democratic Republic of Congo’s National Spaceborne Biomass Map over Independent Test Samples. Remote Sensing, 14: 4126.

• Thripob, P., Fortunel, C., Réjou-Méchain, M., Nathalang, A. & Chanthorn, W.  2022. Size-dependent intraspecific variation in wood traits has little impact on aboveground carbon estimates in a tropical forest landscape. Functional Ecology, 36: 2303-2316.

Oral presentations

• Martin-Ducup, O., Barbier, N., Couteron, P., Pélissier, R. 2017. Analyses architecturales de 14 espèces de forêts tropicale Camerounaise à partir de données T-LiDAR. 7éme édition de L’atelier T-LiDAR francophone. 24 – 25 Octobre 2017, Maison de la Télédétection, Montpellier, France. [slideshow]

• Herold M. 2017. What steps must be taken to embed forest monitoring missions in policy? Workshop of the International Space Science Institute, "Space-based Measurement of Forest Properties for Carbon Cycle Research", 6 – 10 November 2017, Bern, Switzerland.

• Barbier, N., Vincent, G. and Momo, S. T. 2018. Towards a robust framework to quantify LAI and radiative transfer variations at tree and landscape levels in the tropics. Scientific meeting of The Royal Society, "Tropical phenology: functional change in ecosystems across space and time", 15 – 16 January 2018, Newport Pagnell, UK. [slideshow]

• Feret, J.-B. and Barbier, N. 2018. S2 BOA reflectance in the context of tropical rainforest: preliminary illustration of the challenges for the extraction of vegetation properties. Workshop for Sentinel-2 L2A MAJA products, 13 – 14 June 2018, Toulouse, France. [slideshow]

• Herold, M. 2018. Review of Experiences and User Requirements for Biomass Mapping. ESA CCI Biomass Workshop, 24 – 25 September 2018, Paris, France. [slideshow]

• Lau, A., Calders, K., Bartholomeaus, H., Martius, C., Raumonen, P., Herold, M., Vicari, M., Sukhdeo, H., Singh, J. & Goodman, R. C. 2019. Tropical tree biomass equations from Terrestrial LiDAR. ESA Living Planet Symposium, Milan, May 16, 2019.

• Schepaschenko, D., Chave, J., Phillips, O., Lewis, S., Davies, S., Sist, P., Héroult, B., Réjou-Méchain, M., Scipal, K  2019. Forest-Observation-System.net – towards a global harmonised in-situ data repository for forest biomass datasets validation. ESA ESA Living Planet Symposium, Milan, May 16, 2019. [slideshow]

• Lau, A., Calders, K., Bartholomeaus, H., Martius, C., Raumonen, P., Herold, M., Vicari, M., Sukhdeo, H., Singh, J. & Goodman, R. C. 2019. Tropical tree biomass equations from Terrestrial LiDAR: A case study in Guyana forests. SilviLaser 2019, Iguazu Falls, Brazil, October, 8-10, 2019. [slideshow]

• Pélissier, R., Ploton, P., Mortier, F., Réjou-Méchain, M., Barbier, N., Picard, N., Rossi, V., Dorman, C. Cornu, G., Viennois, G., Bayol, N., Lyapustin, A., Gourlet-Fleury, S. 2022. What is the actual performance of large-scale forest biomass mapping models? FACCE ARE-GAS GHG Breakfast Club online talk, March, 25, 2022. [slideshow] 

Posters

• Barbier, N., Delaitre, G., Martin-Ducup, O., Verley, P., Vincent, G. 2019. Fusion of UAV and terrestrial laser scanning data to assess tree- and stand-level leaf and wood properties.  4th scientific meeting on terrestrial laser scanning in forest ecology, 6 – 7 May 2019, Gent, Belgium. [poster]

• Lau, A., Calders, K., Bartholomeaus, H., Martius, C., Raumonen, P., Herold, M., Vicari, M., Sukhdeo, H., Singh, J. & Goodman, R. C. 2019. Tropical tree biomass equations from Terrestrial LiDAR. 4th scientific meeting on terrestrial laser scanning in forest ecology, 6 – 7 May 2019, Gent, Belgium. [poster]

• Momo Takoudjou S., Ploton P., Martin-Ducup O., Lehnebach R., Fortunel C., Boyemba F., Couteron P., Fayolle A., Libalah M., Loumeto J., Medjibe V., Ngomanda A., Nchama N N., Pélissier P., Yongo O., Rossi V., Sagang Takougoum L B., Sonké B. & Barbier N. 2019. Weighing trees with lasers: what about vertical variations of wood density?. 4th scientific meeting on terrestrial laser scanning in forest ecology, 6 – 7 May 2019, Gent, Belgium. [poster]

• Martin-Ducup, O., Ploton, P., Barbier, N., Momo Takoudjou, S., Mofack, G. II, Kamdem, N. G., Fourcaud, T., Sonké, B., Couteron, P. & Pélissier, R. 2020.  Convergence of tree architecture with increasing canopy position: An example from terrestrial laser scanning in central Africa. 3D Tree Models for Forest Dynamics Workshop, 9-10 January 2020, Helsinki, Finland. [poster]

• Lau, A. Calders, K., Bartholomeus, H., Martius, C., Raumonen, P., Herold, M., Vicari, M., Sukhdeo, H., Singh, J., & Goodman, R. C. 2020. Tropical tree biomass equations from terrestrial LiDAR. 3D Tree Models for Forest Dynamics Workshop, 9-10 January 2020, Helsinki, Finland. [poster]

Theses and Students Reports

• Lau Sarmiento, A. 2018. Assessing biomass and architecture of tropical trees with terrestrial laser scanning. Wageningen University & Research, The Netherland.  

• Momo Takoudjou, S. 2019. Utilisation de l'imagerie 3D pour l'estimation indirecte de la biomasse aérienne des arbres de la forêt semi-décidue du sud-est du Cameroun. Thèse de Doctorat, Université de Yaoundé 1, Cameroun.

• Hartikainen T. 2020. Feature selection in high-dimensional feature spaces for tree species classification from quantitative structure models. Master thesis, University of Tampere, Finland.