DATA.GEO-TREES, formerly named Forest Observation System is an international cooperation to establish a global in-situ forest biomass database to support earth observation and to encourage investment in relevant field-based observations and science.
DATA.GEO-TREES provides well curated biomass plot data in a unified format, that is aggregated from tree level data consistently across different networks.
FOS presentation at the ESA Living Planet Symposium, Milan, May 16, 2019 (download)
Recent paper by Jerome Chave et al. Ground Data are Essential for Biomass Remote Sensing Missions. Surveys in Geophysics - DOI:10.1007/s10712-019-009528-w
Schepaschenko D., Chave J., Phillips O.L., Lewis S.L., Davies S.J., Réjou-Méchain M., Sist P., Scipal K., et al. (2019). The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. Scientific Data 6 (1): 198. DOI:10.1038/s41597-019-0196-1.
You are very welcome to join GEO-TREES. We are looking for more sample plot data, which meet our requirements:
List to the articles citing data.GEO-TREES data package
This package contains data: Above-ground biomass estimation of 260 forest plots globally
This dataset is licensed under a Creative Commons Attribution 4.0 International License (CC-BY 4.0).
When using this data, please cite the data package:
Dmitry Schepaschenko, Jérôme Chave, Oliver L. Phillips, Simon L. Lewis, Stuart J. Davies, Maxime Réjou-Méchain, Plinio Sist, Klaus Scipal, Christoph Perger, Bruno Herault, Nicolas Labrière, Florian Hofhansl, Kofi Affum-Baffoe, Alexei Aleinikov, Alfonso Alonso, Christian Amani, Alejandro Araujo-Murakami, John Armston,, Luzmila Arroyo, Nataly Ascarrunz, Celso Azevedo, Timothy Baker, Radomir Bałazy, Caroline Bedeau, Nicholas Berry, Andrii M. Bilous, Svitlana Yu. Bilous, Pulchérie Bissiengou, Lilian Blanc, Kapitolina S. Bobkova, Tatyana Braslavskaya, Roel Brienen, David F.R.P. Burslem, Richard Condit, Aida Cuni-Sanchez, Dilshad Danilina, Dennis del Castillo Torres, Géraldine Derroire, Laurent Descroix, Eleneide Doff Sotta, Marcus V.N. d'Oliveira, Christopher Dresel, Terry Erwin, Mikhail D. Evdokimenko, Jan Falck, Ted R. Feldpausch, Ernest G. Foli, Robin Foster, Steffen Fritz, Antonio Damian Garcia-Abril, Aleksey Gornov, Maria Gornova, Ernest Gothard-Bassébé, Sylvie Gourlet-Fleury,, Marcelino Guedes, Keith Hamer, Farida Herry Susanty, Niro Higuchi, Eurídice N. Honorio Coronado, Wannes Hubau,, Stephen Hubbell, Ulrik Ilstedt, Viktor V. Ivanov, Milton Kanashiro, Anders Karlsson, Viktor N. Karminov, Timothy Killeen, Jean-Claude Koffi Konan, Maria Konovalova, Florian Kraxner, Jan Krejza, Haruni Krisnawati, Leonid V. Krivobokov, Mikhail A. Kuznetsov, Ivan Lakyda, Petro I. Lakyda, Juan Carlos Licona, Richard M. Lucas, Natalia Lukina, Daniel Lussetti, Yadvinder Malhi, José Antonio Manzanera, Beatriz Marimon, Ben Hur Marimon Junior, Rodolfo Vasquez Martinez, Olga V. Martynenko,, Maksym S. Matsala, Raisa K. Matyashuk, Lucas Mazzei, Hervé Memiaghe, Casimiro Mendoza, Abel Monteagudo-Mendoza, Olga V. Morozyuk, Liudmila Mukhortova, Samsudin Musa, Dina I. Nazimova, Toshinori Okuda, Luis Claudio Oliveira, Petr V. Ontikov, Andrey F. Osipov, Stephan Pietsch, Maureen Playfair, John Poulsen, Vladimir G. Radchenko, Kenneth Rodney, Andes H. Rozak, Ademir Ruschel, Ervan Rutishauser, Linda See, Maria Shchepashchenko, Nikolay Shevchenko, Anatoly Shvidenko,, Marcos Silveira, James Singh, Bonaventure Sonké, Cintia Souza, Krzysztof Stereńczak, Leonid Stonozhenko, Martin J P Sullivan, Justyna Szatniewska, Hermann Taedoumg, Hans ter Steege, Elena Tikhonova, Marisol Toledo, Olga V. Trefilova, Ruben Valbuena, Luis Valenzuela Gamarra, Sergey Vasiliev, Estella F. Vedrova, Sergey V. Verhovets,, Edson Vidal, Nadezhda A. Vladimirova, Jason Vleminckx, Vincent A. Vos, Foma K. Vozmitel, Wolfgang Wanek, Thales A. P. West, Hannsjorg Woell, John T. Woods, Verginia Wortel, Toshihiro Yamada, Nur Hajar Zamah Shari, Irié Casimir Zo-Bi (2019). A global reference dataset for remote sensing of forest biomass. The Forest Observation System approach. [Data Collection]. DOI: 10.22022/ESM/03-2019.38.
Collaborate
A major aim of GEO-TREES is to promote and support long-term collaboration among forest researchers across the world. To protect the rights of partners who have invested significant resources to collect these data (time and money) and to ensure that these data become part of the scientific process in a transparent way we request that:
Contribute
GEO-TREES depends on the contribution of high quality forest plot data by its partners. Do not only use the data but become an active partner and support the long-term future of this observational effort: