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Nature Research, Scientific Data, 1(6), 2019

DOI: 10.1038/s41597-019-0196-1

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

Journal article published in 2019 by Dmitry Schepaschenko ORCID, Jérôme Chave ORCID, Oliver L. Phillips ORCID, Simon L. Lewis ORCID, Stuart J. Davies, Maxime Réjou-Méchain, Plinio Sist, Klaus Scipal, Christoph Perger, Bruno Herault ORCID, Nicolas Labrière, Florian Hofhansl ORCID, Kofi Affum-Baffoe, Alexei Aleinikov, Alfonso Alonso and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

AbstractForest 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.