Publication Details |
| Category | Data Publication |
| DOI | 10.5281/zenodo.17359730 |
| Licence |
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| Title (Primary) | A global long-term (2002–2022) C-band vegetation optical depth record retrieved after merging AMSR-E, AMSR2 and WindSat (Version 1) [Data set] |
| Author | Chen, D.; Fan, L.; Peng, J.
; De Lannoy, G.; Wigneron, J.-P.; Frappart, F.; Tao, S.; Wang, M.; Li, X.; Liu, X.; Wang, H.; Yuan, Q.; Chen, X.; Xiao, Y.; Ciais, P. |
| Source Titel | Zenodo |
| Year | 2025 |
| Department | RS |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Abstract | Vegetation optical depth (VOD) based on microwave remote sensing has become an essential indicator for monitoring large-scale vegetation conditions. The relatively long-term record of satellite-based passive C-band observations offers the potential for assessing dynamic vegetation changes. Due to the limited operational lifetime of individual microwave sensors, retrieving a long-term C-band VOD (C-VOD) dataset often requires combining multiple sensors, such as Advanced Microwave Scanning Radiometer for EOS Aqua (AMSR-E, 2002–2011), Advanced Microwave Scanning Radiometer 2 (AMSR2, 2012–present) and WindSat (2003–2020). Retrieving a long-term C-VOD from their C-band brightness temperature (TB) observations faces two major challenges: (i) non-negligible systematic biases exist between the TB observations among the three sensors; (ii) TB from different sensors may not be strongly associated, especially in tropical forests with small seasonal variations. To address these challenges, we employed a combined inter-calibration method, using linear regression in sparse vegetation and linear rescaling in dense vegetation, to merge TB from three sensors. Results showed that: (i) in undisturbed dense forests where minimal emissivity variation can be assumed, the merged TB (2002–2022) exhibited strong temporal correlations with skin temperature (H polarization: R = 0.90, V polarization: R = 0.86); (ii) the merged C-VOD retrieved from the merged TB exhibited substantially improved temporal consistency across three sensors, reducing global discrepancies between AMSR-E and AMSR2 from 6.20 % to 0.34 %. Furthermore, the merged C-VOD showed stable long-term consistency across sensors, with paired t-tests indicating no significant differences (P-value > 0.01) at the global and vegetation-type scales, confirming reliable cross-sensor continuity; (iii) the merged C-VOD showed stronger temporal correlations with normalized difference vegetation index, enhanced vegetation index, and site-level gross primary production across more vegetated areas globally, and exhibited higher and more stable spatial correlations with vegetation variables across sensor transitions compared to the existing merged C-VOD product. |
| linked UFZ text publications | |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=31904 |
| Chen, D., Fan, L., Peng, J., De Lannoy, G., Wigneron, J.-P., Frappart, F., Tao, S., Wang, M., Li, X., Liu, X., Wang, H., Yuan, Q., Chen, X., Xiao, Y., Ciais, P. (2025): A global long-term (2002–2022) C-band vegetation optical depth record retrieved after merging AMSR-E, AMSR2 and WindSat (Version 1) [Data set] Zenodo 10.5281/zenodo.17359730 |
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