Manchester Metropolitan University's Research Repository

The Forest Observation System, building a global reference dataset for remote sensing of forest biomass.

Schepaschenko, Dmitry and Chave, Jérôme and Phillips, Oliver L and Lewis, Simon L and Davies, Stuart J and Réjou-Méchain, Maxime and Sist, Plinio and Scipal, Klaus and Perger, Christoph and Herault, Bruno and Labrière, Nicolas and Hofhansl, Florian and Affum-Baffoe, Kofi and Aleinikov, Alexei and Alonso, Alfonso and Amani, Christian and Araujo-Murakami, Alejandro and Armston, John and Arroyo, Luzmila and Ascarrunz, Nataly and Azevedo, Celso and Baker, Timothy and Bałazy, Radomir and Bedeau, Caroline and Berry, Nicholas and Bilous, Andrii M and Bilous, Svitlana Yu and Bissiengou, Pulchérie and Blanc, Lilian and Bobkova, Kapitolina S and Braslavskaya, Tatyana and Brienen, Roel and Burslem, David FRP and Condit, Richard and Cuni-Sanchez, Aida and Danilina, Dilshad and Del Castillo Torres, Dennis and Derroire, Géraldine and Descroix, Laurent and Sotta, Eleneide Doff and d'Oliveira, Marcus VN and Dresel, Christopher and Erwin, Terry and Evdokimenko, Mikhail D and Falck, Jan and Feldpausch, Ted R and Foli, Ernest G and Foster, Robin and Fritz, Steffen and Garcia-Abril, Antonio Damian and Gornov, Aleksey and Gornova, Maria and Gothard-Bassébé, Ernest and Gourlet-Fleury, Sylvie and Guedes, Marcelino and Hamer, Keith C and Susanty, Farida Herry and Higuchi, Niro and Coronado, Eurídice N Honorio and Hubau, Wannes and Hubbell, Stephen and Ilstedt, Ulrik and Ivanov, Viktor V and Kanashiro, Milton and Karlsson, Anders and Karminov, Viktor N and Killeen, Timothy and Koffi, Jean-Claude Konan and Konovalova, Maria and Kraxner, Florian and Krejza, Jan and Krisnawati, Haruni and Krivobokov, Leonid V and Kuznetsov, Mikhail A and Lakyda, Ivan and Lakyda, Petro I and Licona, Juan Carlos and Lucas, Richard M and Lukina, Natalia and Lussetti, Daniel and Malhi, Yadvinder and Manzanera, José Antonio and Marimon, Beatriz and Junior, Ben Hur Marimon and Martinez, Rodolfo Vasquez and Martynenko, Olga V and Matsala, Maksym and Matyashuk, Raisa K and Mazzei, Lucas and Memiaghe, Hervé and Mendoza, Casimiro and Mendoza, Abel Monteagudo and Moroziuk, Olga V and Mukhortova, Liudmila and Musa, Samsudin and Nazimova, Dina I and Okuda, Toshinori and Oliveira, Luis Claudio and Ontikov, Petr V and Osipov, Andrey F and Pietsch, Stephan and Playfair, Maureen and Poulsen, John and Radchenko, Vladimir G and Rodney, Kenneth and Rozak, Andes H and Ruschel, Ademir and Rutishauser, Ervan and See, Linda and Shchepashchenko, Maria and Shevchenko, Nikolay and Shvidenko, Anatoly and Silveira, Marcos and Singh, James and Sonké, Bonaventure and Souza, Cintia and Stereńczak, Krzysztof and Stonozhenko, Leonid and Sullivan, Martin JP and Szatniewska, Justyna and Taedoumg, Hermann and Ter Steege, Hans and Tikhonova, Elena and Toledo, Marisol and Trefilova, Olga V and Valbuena, Ruben and Gamarra, Luis Valenzuela and Vasiliev, Sergey and Vedrova, Estella F and Verhovets, Sergey V and Vidal, Edson and Vladimirova, Nadezhda A and Vleminckx, Jason and Vos, Vincent A and Vozmitel, Foma K and Wanek, Wolfgang and West, Thales AP and Woell, Hannsjorg and Woods, John T and Wortel, Verginia and Yamada, Toshihiro and Nur Hajar, Zamah Shari and Zo-Bi, Irié Casimir (2019) The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. Scientific Data, 6. ISSN 2052-4463


Available under License Creative Commons Attribution.

Download (1MB) | Preview


Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.

Impact and Reach


Activity Overview

Additional statistics for this dataset are available via IRStats2.


Actions (login required)

Edit Item Edit Item