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Santoro, M., Cartus, O., Quegan, S., Kay, H., Lucas, R.M., Araza, A., Herold, M., Labrière, N., Chave, J., Rosenqvist, Å., Tadono, T., Kobayashi, K., Kellndorfer, J., Avitabile, V., Brown, H., Carreiras, J., Campbell, M.J., Cavlovic, J., Bispo, P.d.C., Gilani, H. et al. (2024). Design and performance of the Climate Change Initiative Biomass global retrieval algorithm. Science of Remote Sensing 10, e100169. 10.1016/j.srs.2024.100169.

Mo, L., Crowther, T.W., Maynard, D.S., van den Hoogen, J., Ma, H., Bialic-Murphy, L., Liang, J., de-Miguel, S., Nabuurs, G.-J., Reich, P.B., Phillips, O.L., Abegg, M., Adou Yao, Y.C., Alberti, G., Almeyda Zambrano, A.M., Alvarado, B.V., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L.F., Amaral, I. et al. (2024). The global distribution and drivers of wood density and their impact on forest carbon stocks. Nature Ecology & Evolution 10.1038/s41559-024-02564-9.

Pan, Y., Birdsey, R.A., Phillips, O.L., Houghton, R.A., Fang, J., Kauppi, P.E., Keith, H., Kurz, W.A., Ito, A., Lewis, S.L., Nabuurs, G.-J., Shvidenko, A., Hashimoto, S., Lerink, B., Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Castanho, A. & Murdiyarso, D. (2024). The enduring world forest carbon sink. Nature 631 (8021), 563-569. 10.1038/s41586-024-07602-x.

Bouchard, E., Searle, E.B., Drapeau, P., Liang, J., Gamarra, J.G.P., Abegg, M., Alberti, G., Zambrano, A.A., Alvarez‐Davila, E., Alves, L.F., Avitabile, V., Aymard, G., Bastin, J.‐F., Birnbaum, P., Bongers, F., Bouriaud, O., Brancalion, P., Broadbent, E., Bussotti, F., Gatti, R.C. et al. (2024). Global patterns and environmental drivers of forest functional composition. Global Ecology and Biogeography 33 (2), 303-324. 10.1111/geb.13790.

Labrière, N., Davies, S.J., Disney, M.I., Duncanson, L.I., Herold, M., Lewis, S.L., Phillips, O.L., Quegan, S., Saatchi, S.S., Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Scipal, K., Sist, P. & Chave, J. (2023). Toward a forest biomass reference measurement system for remote sensing applications. Global Change Biology 29 (3), 827-840. 10.1111/gcb.16497.

Araza, A., de Bruin, S., Herold, M., Quegan, S., Labriere, N., Rodriguez-Veiga, P., Avitabile, V., Santoro, M., Mitchard, E.T.A., Ryan, C.M., Phillips, O.L., Willcock, S., Verbeeck, H., Carreiras, J., Hein, L., Schelhaas, M.-J., Pacheco-Pascagaza, A.M., da Conceição Bispo, P., Laurin, G.V., Vieilledent, G. et al. (2022). A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps. Remote Sensing of Environment 272, e112917. 10.1016/j.rse.2022.112917.

Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Chave, J., Phillips, O.L., Lewis, S.L., Davies, S.J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F. ORCID: https://orcid.org/0000-0003-0073-0946, Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., Ascarrunz, N. et al. (2019). The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. Scientific Data 6 (1), e198. 10.1038/s41597-019-0196-1.

Chave, J., Davies, S.J., Phillips, O.L., Lewis, S.L., Sist, P., Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Armston, J., Baker, T.R., Coomes, D., Disney, M., Duncanson, L., Hérault, B., Labrière, N., Meyer, V., Réjou-Méchain, M., Scipal, K. & Saatchi, S. (2019). Ground Data are Essential for Biomass Remote Sensing Missions. Surveys in Geophysics 40 (4), 863-880. 10.1007/s10712-019-09528-w.

Pan, Y., Birdsey, R.A., Fang, J., Houghton, R., Kauppi, P.E., Kurz, W.A., Phillips, O.L., Shvidenko, A., Lewis, S.L., Canadell, J.G., Ciais, P., Jackson, R.B., Pacala, S.W., McGuire, A.D., Piao, S., Rautiainen, A., Sitch, S. & Hayes, D. (2011). A large and persistent carbon sink in the world's forests. Science 333 (6045), 988-993. 10.1126/science.1201609.

Data

Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Chave, J., Phillips, O.L., Lewis, S.L., Davies, S.J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F. ORCID: https://orcid.org/0000-0003-0073-0946, Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., Ascarrunz, N. et al. (2019). A global reference dataset for remote sensing of forest biomass. The Forest Observation System approach. 10.22022/ESM/03-2019.38.