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Title: The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
Authors: Schepaschenko, Dmitry
Chave, Jérôme
Phillips, Oliver L.
Lewis, Simon L.
Davies, Stuart J.
Réjou-Méchain, Maxime
Sist, Plinio
Scipal, Klaus
Perger, Christoph
Herault, Bruno
Labrière, Nicolas
Hofansl, Florian
Affum-Bafoe, Koffi
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 M.
Bilous, SvitlanaYu.
Bissiengou, Pulchérie
Blanc, Lilian
Bobkova, Kapitolina S.
Braslavskaya, Tatyana
Brienen, Roel
Burslem, David F. R. P.
Condit, Richard
Cuni-Sanchez, Aida
Danilina, Dilshad
Del Castillo Torres, Dennis
Derroire, Géraldine
Descroix, Laurent
Dof Sotta, Eleneide
D’Oliveira, MarcusV. N.
Dresel, Christopher
Erwin, Terry
Evdokimenko, Mikhail D.
Falck, Jan
Feldpausch, Ted R.
Honorio Coronado, Eurídice N.
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Issue Date: Oct-2019
Publisher: Springer Nature.
Citation: Scientific Data volume 6, Article number: 198 (2019).
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.
ISSN: 2052-4463
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