4.7 Article

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

期刊

SCIENTIFIC DATA
卷 6, 期 -, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41597-019-0196-1

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资金

  1. IFBN project - ESA [4000114425/15/NL/FF/gp]
  2. CCI Biomass project - ESA [4000123662/18/I-NB]
  3. Austrian Federal Ministry of Science and Research [BMWF-4.409/30-II/4/2009]
  4. Austrian Academy of Sciences [OAW2007-11]
  5. Ministry of Science's Research and Development, Spain [AGL2009-08562]
  6. Project LIFE+ ForBioSensing PL Comprehensive monitoring of stand dynamics in Bialowieza Forest supported with remote sensing techniques [LIFE13 ENV/PL/000048]
  7. National Fund for Environmental Protection and Water Management in Poland [485/2014/WN10/OP-NM-LF/D]
  8. Brazilian National Council of Science and Technology [401279/2014-6, 441244/2016-5]
  9. USAID
  10. Brazilian National Council of Science and Technology-CNPq [481097/2008-2, 201138/2012-3]
  11. Foundation for Research Support of the State of Sao Paulo-FAPESP [2013/16262-4, 2013/50718-5]
  12. European Research Council Advanced Grant T-FORCES [291585]
  13. Russian State Assignment of the CEPF RAS [AAAA-A18-118052400130-7]
  14. Russian Science Foundation [19-77-30015]
  15. Shell Gabon [172]
  16. Smithsonian Conservation Biology Institute [172]
  17. Agence Nationale de la Recherche (CEBA) [ANR-10-LABX-25-01, TULIP: ANR-10-LABX-0041]
  18. NERC [NE/N01250X/1, NE/M017508/1, NE/K016253/1, NE/K016369/1, NE/I02982X/1, NE/N011570/1] Funding Source: UKRI
  19. Natural Environment Research Council [NE/K016253/1] Funding Source: researchfish

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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.

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