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

Schepaschenko, Chave, Phillips, Lewis, Davies, Réjou-Méchain, Sist, Scipal, Perger, Herault, Labrière, Hofhansl, Affum-Baffoe, Aleinikov, Alonso, Amani, Araujo-Murakami, Armston, Arroyo, Ascarrunz, Azevedo, Baker, Bałazy, Bedeau, Berry, Bilous, Bilous, Bissiengou, Blanc, Bobkova, Braslavskaya, Brienen, Burslem, Condit, Cuni-Sanchez, Danilina, Del Castillo Torres, Derroire, Descroix, Sotta, d'Oliveira, Dresel, Erwin, Evdokimenko, Falck, Feldpausch, Foli, Foster, Fritz, Garcia-Abril, Gornov, Gornova, Gothard-Bassébé, Gourlet-Fleury, Guedes, Hamer, Susanty, Higuchi, Coronado, Hubau, Hubbell, Ilstedt, Ivanov, Kanashiro, Karlsson, Karminov, Killeen, Koffi, Konovalova, Kraxner, Krejza, Krisnawati, Krivobokov, Kuznetsov, Lakyda, Lakyda, Licona, Lucas, Lukina, Lussetti, Malhi, Manzanera, Marimon, Junior, Martinez, Martynenko, Matsala, Matyashuk, Mazzei, Memiaghe, Mendoza, Mendoza, Moroziuk, Mukhortova, Musa, Nazimova, Okuda, Oliveira, Ontikov, Osipov, Pietsch, Playfair, Poulsen, Radchenko, Rodney, Rozak, Ruschel, Rutishauser, See, Shchepashchenko, Shevchenko, Shvidenko, Silveira, Singh, Sonké, Souza, Stereńczak, Stonozhenko, Sullivan, Szatniewska, Taedoumg, Ter Steege, Tikhonova, Toledo, Trefilova, Valbuena, Gamarra, Vasiliev, Vedrova, Verhovets, Vidal, Vladimirova, Vleminckx, Vos, Vozmitel, Wanek, West, Woell, Woods, Wortel, Yamada, Nur Hajar, Zo-Bi (2019) The Forest Observation System, building a global reference dataset for remote sensing of forest biomass Sci Data (IF: 5.8) 6(1) 198

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.

Links

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787017
http://www.ncbi.nlm.nih.gov/pubmed/31601817
http://dx.doi.org/10.1038/s41597-019-0196-1

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