Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Chave, J., Phillips, O.L., Lewis, S.L., Davies, S.J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F. ORCID: https://orcid.org/0000-0003-0073-0946, Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., Ascarrunz, N., et al. (2019). A global reference dataset for remote sensing of forest biomass. The Forest Observation System approach. 10.22022/ESM/03-2019.38.
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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 0.25ha 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. Live, most up-to-date dataset is available at https://forest-observation-system.net/
Item Type: | Data |
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Research Programs: | Ecosystems Services and Management (ESM) |
Related URLs: | |
Depositing User: | Luke Kirwan |
Date Deposited: | 03 Nov 2021 10:28 |
Last Modified: | 19 Oct 2022 05:01 |
URI: | https://pure.iiasa.ac.at/17619 |
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