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

Dmitry Schepaschenko*, Jerome Chave, Oliver L. Phillips, Simon L. Lewis, Stuart J. Davies, Maxime Rejou-Mechain, Plinio Sist, Klaus Scipal, Christoph Perger, Bruno Herault, Nicolas Labriere, Florian Hofhansl, Kofi Affum-Baffoe, Alexei Aleinikov, Alfonso Alonso, Christian Amani, Alejandro Araujo-Murakami, John Armston, Luzmila Arroyo, Nataly AscarrunzCelso Azevedo, Timothy Baker, Radomir Balazy, Caroline Bedeau, Nicholas Berry, Andrii M. Bilous, Svitlana Yu. Bilous, Pulcherie 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, Geraldine 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-Bassebe, Sylvie Gourlet-Fleury, Marcelino Guedes, Keith C. Hamer, Farida Herry Susanty, Niro Higuchi, Euridice N. Honorio Coronado, Wannes Hubau, Stephen Hubbell, Ulrik Ilstedt, Viktor V. Ivanov, Milton Kanashiro, Anders Karlsson, Viktor N. Karminov, Timothy Killeen, Jean-Claude Konan Koffi, 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, Jose Antonio Manzanera, Beatriz Marimon, Ben Hur Marimon Junior, Rodolfo Vasquez Martinez, Olga V. Martynenko, Maksym Matsala, Raisa K. Matyashuk, Lucas Mazzei, Herve Memiaghe, Casimiro Mendoza, Abel Monteagudo Mendoza, Olga V. Moroziuk, 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 Sonke, Cintia Souza, Krzysztof Sterenczak, Leonid Stonozhenko, Martin J. P. Sullivan, Justyna Szatniewska, Hermann T. Aedoumg, 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, Zamah Shari Nur Hajar, Irie Casimir Zo-Bi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number198
Number of pages11
JournalScientific Data
Volume6
DOIs
Publication statusPublished - 10 Oct 2019

Keywords

  • ABOVEGROUND BIOMASS
  • CARBON STORAGE
  • DYNAMICS
  • DENSITY
  • NETWORK
  • SENSITIVITY
  • DIVERSITY
  • PATTERNS
  • RATES

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