The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
Archive ouverte
Schepaschenko, Dmitry | Chave, Jérôme | Phillips, Oliver | Lewis, Simon | Davies, Stuart | Réjou-Méchain, Maxime | Sist, Plinio | Scipal, Klaus | Perger, Christoph | Hérault, Bruno | Labrière, Nicolas | Hofhansl, Florian | Affum-Baffoe, Kofi | Aleinikov, Alexei | Alonso, Alfonso | Amani, Christian | Araujo-Murakami, Alejandro | Armston, John | Arroyo, Luzmila | Ascarrunz, Nataly | Azevedo, Celso | Baker, Timothy | Bałazy, Radomir | Bedeau, Caroline | Berry, Nicholas | Bilous, Andrii | Bilous, Svitlana Yu. | Bissiengou, Pulcherie | Blanc, Lilian | Bobkova, Kapitolina | Braslavskaya, Tatyana | Brienen, Roel | Burslem, David | Condit, Richard | Cuni-Sanchez, Aida | Danilina, Dilshad | del Castillo Torres, Dennis | Derroire, Géraldine | Descroix, Laurent | Sotta, Eleneide Doff | D’oliveira, Marcus | Dresel, Christopher | Erwin, Terry | Evdokimenko, Mikhail | Falck, Jan | Feldpausch, Ted | Foli, Ernest | Foster, Robin | Fritz, Steffen, S. | Garcia-Abril, Antonio Damian | Gornov, Aleksey | Gornova, Maria | Gothard-Bassébé, Ernest | Gourlet-Fleury, Sylvie | Guedes, Marcelino | Hamer, Keith | Susanty, Farida Herry | Higuchi, Niro | Coronado, Eurídice | Hubau, Wannes | Hubbell, Stephen | Ilstedt, Ulrik | Ivanov, Viktor | Kanashiro, Milton | Karlsson, Anders | Karminov, Viktor | Killeen, Timothy | Koffi, Jean-Claude Konan | Konovalova, Maria | Kraxner, Florian | Krejza, Jan | Krisnawati, Haruni | Krivobokov, Leonid | Kuznetsov, Mikhail | Lakyda, Ivan | Lakyda, Petro | Licona, Juan Carlos | Lucas, Richard, M. | Lukina, Natalia | Lussetti, Daniel | Malhi, Yadvinder | Manzanera, José Antonio | Marimon, Beatriz | Junior, Ben Hur Marimon | Martinez, Rodolfo Vasquez | Martynenko, Olga | Matsala, Maksym | Matyashuk, Raisa | Mazzei, Lucas | Memiaghe, Herve | Mendoza, Casimiro | Mendoza, Abel Monteagudo | Moroziuk, Olga | Mukhortova, Liudmila | Musa, Samsudin | Nazimova, Dina | Okuda, Toshinori | Oliveira, Luis Claudio | Ontikov, Petr | Osipov, Andrey | Pietsch, Stephan | Playfair, Maureen | Poulsen, John | Radchenko, Vladimir, G | Rodney, Kenneth | Rozak, Andes | Ruschel, Ademir | Rutishauser, Ervan | See, Linda | Shchepashchenko, Maria | Shevchenko, Nikolay | Shvidenko, Anatoly | Silveira, Marcos | Singh, James | Sonké, Bonaventure | Souza, Cintia | Stereńczak, Krzysztof | Stonozhenko, Leonid | Sullivan, Martin, J P | Szatniewska, Justyna | Taedoumg, Hermann | ter Steege, Hans | Tikhonova, Elena | Toledo, Marisol | Trefilova, Olga | Valbuena, Ruben | Gamarra, Luis Valenzuela | Vasiliev, Sergey | Vedrova, Estella | Verhovets, Sergey | Vidal, Edson | Vladimirova, Nadezhda | Vleminckx, Jason | Vos, Vincent | Vozmitel, Foma | Wanek, Wolfgang | West, Thales | Woell, Hannsjorg | Woods, John | Wortel, Verginia | Yamada, Toshihiro | Nur Hajar, Zamah Shari | Zo-Bi, Irié Casimir
Edité par
CCSD ; Nature Publishing Group -
International audience.
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.
