Aboveground biomass dataset from SMOS L-band vegetation optical depth and reference maps DOI Creative Commons
Simon Boitard, Arnaud Mialon, Stéphane Mermoz

et al.

Earth system science data, Journal Year: 2025, Volume and Issue: 17(3), P. 1101 - 1119

Published: March 17, 2025

Abstract. Aboveground biomass (AGB) is an essential component of the Earth's carbon cycle. Yet, large uncertainties remain in its spatial distribution and temporal evolution. Satellite remote sensing can help improve accuracy AGB estimates. In particular, L-band (1.41 GHz) vegetation optical depth (VOD) derived from SMOS (Soil Moisture Ocean Salinity) mission a good proxy. Averaging L-VOD over year linking it to existing map constitute well-established method derive relationship between two quantities. Then, extrapolation this relation derives global harmonized time series L-VOD. This study refines protocol by analyzing impact three factors on AGB–VOD calibration. First, analysis shows that ascending descending VOD be properly merged estimate AGB. Second, use single preferred several regional ones. Third, new dataset compared with other published datasets assess validity extrapolation. The produced provides values up 300 Mg ha−1 2011 onward. It more interannual variability than available presents globally lower general, resulting consistent maps Climate Change Initiative (CCI) Biomass version 5 (average Pearson's correlation coefficient 0.87) used studies. has been Level 2 products one VOD–AGB relationship, mixing orbits. dataset, including bias, open-access NetCDF files are at https://doi.org/10.12770/95f76ff0-5d89-430d-80db-95fbdd77f543 (Boitard et al., 2024).

Language: Английский

Aboveground biomass dataset from SMOS L-band vegetation optical depth and reference maps DOI Creative Commons
Simon Boitard, Arnaud Mialon, Stéphane Mermoz

et al.

Earth system science data, Journal Year: 2025, Volume and Issue: 17(3), P. 1101 - 1119

Published: March 17, 2025

Abstract. Aboveground biomass (AGB) is an essential component of the Earth's carbon cycle. Yet, large uncertainties remain in its spatial distribution and temporal evolution. Satellite remote sensing can help improve accuracy AGB estimates. In particular, L-band (1.41 GHz) vegetation optical depth (VOD) derived from SMOS (Soil Moisture Ocean Salinity) mission a good proxy. Averaging L-VOD over year linking it to existing map constitute well-established method derive relationship between two quantities. Then, extrapolation this relation derives global harmonized time series L-VOD. This study refines protocol by analyzing impact three factors on AGB–VOD calibration. First, analysis shows that ascending descending VOD be properly merged estimate AGB. Second, use single preferred several regional ones. Third, new dataset compared with other published datasets assess validity extrapolation. The produced provides values up 300 Mg ha−1 2011 onward. It more interannual variability than available presents globally lower general, resulting consistent maps Climate Change Initiative (CCI) Biomass version 5 (average Pearson's correlation coefficient 0.87) used studies. has been Level 2 products one VOD–AGB relationship, mixing orbits. dataset, including bias, open-access NetCDF files are at https://doi.org/10.12770/95f76ff0-5d89-430d-80db-95fbdd77f543 (Boitard et al., 2024).

Language: Английский

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