Articles | Volume 16, issue 10
https://doi.org/10.5194/essd-16-4573-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-4573-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
10 Oct 2024
Data description article |
| 10 Oct 2024
| 10 Oct 2024
VODCA v2: multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring
Ruxandra-Maria Zotta
CORRESPONDING AUTHOR
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8, 1040 Vienna, Austria
Leander Moesinger
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8, 1040 Vienna, Austria
Robin van der Schalie
Planet Labs, Wilhelminastraat 43A, 2011 VK Haarlem, the Netherlands
Mariette Vreugdenhil
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8, 1040 Vienna, Austria
Wolfgang Preimesberger
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8, 1040 Vienna, Austria
Thomas Frederikse
Planet Labs, Wilhelminastraat 43A, 2011 VK Haarlem, the Netherlands
Richard de Jeu
Planet Labs, Wilhelminastraat 43A, 2011 VK Haarlem, the Netherlands
Wouter Dorigo
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8, 1040 Vienna, Austria
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- Accelerated land surface greening caused by earlier permafrost thawing H. Hua et al. https://doi.org/10.1038/s41467-025-67644-1
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- Global observations of land-atmosphere interactions during flash drought B. Harris et al. https://doi.org/10.5194/hess-29-6917-2025
- Dynamics of China's forest carbon storage: the first 30 m annual aboveground biomass mapping from 1985 to 2023 Y. Cai et al. https://doi.org/10.5194/essd-17-6993-2025
- Analyzing satellite and airborne Ka-band passive microwave observations over land for temperature and vegetation monitoring R. de Jeu et al. https://doi.org/10.3389/frsen.2025.1574072
- A novel SIF framework for decoupling hierarchical water stress impacts on winter wheat photosynthesis K. Du et al. https://doi.org/10.1016/j.rse.2025.115216
- What is the Uncertainty of the Uncertainty and (Why) Does it Matter? Improving the Uncertainty Estimates of Merged Multi-satellite Soil Moisture Data Sets M. Formanek et al. https://doi.org/10.1007/s10712-026-09944-9
- Satellite observations reveal a reversal trend in African woody cover around 2010 H. Li et al. https://doi.org/10.1016/j.agrformet.2026.111267
- Vegetation Water Content Estimation Using Optical and Microwave Remote Sensing J. Zhou et al. https://doi.org/10.1109/JSTARS.2026.3682497
- Response of gross primary productivity to compound drought–heat events in southeast asian rubber plantations Q. Bao et al. https://doi.org/10.1016/j.ejrh.2026.103632
- ESA CCI Soil Moisture GAPFILLED: an independent global gap-free satellite climate data record with uncertainty estimates W. Preimesberger et al. https://doi.org/10.5194/essd-17-4305-2025
- A global daily seamless 9 km vegetation optical depth (VOD) product from 2010 to 2021 D. Hu et al. https://doi.org/10.5194/essd-17-2849-2025
- Remote sensing of tropical forest recovery: A review and decision-support framework for multi-sensor integration C. Iheaturu et al. https://doi.org/10.1016/j.rse.2026.115257
- Response of vegetation optical depth across multiple microwave frequencies to global vegetation dynamics R. Jing et al. https://doi.org/10.1080/15481603.2025.2606475
- Satellite Microwave Radiometry at L-Band for Monitoring Earth’s Essential Climate Variables: From Fundamental Physics to Sixteen Years of Global Climate Observations and Beyond Y. Zhou et al. https://doi.org/10.1109/MGRS.2026.3665669
- Assessing the combination of passive and active microwave satellite observations (1.4 to 36 GHz) to estimate above ground biomass (AGB) globally C. Prigent et al. https://doi.org/10.1016/j.srs.2026.100386
Saved (final revised paper)
Latest update: 21 Jun 2026
Short summary
VODCA v2 is a dataset providing vegetation indicators for long-term ecosystem monitoring. VODCA v2 comprises two products: VODCA CXKu, spanning 34 years of observations (1987–2021), suitable for monitoring upper canopy dynamics, and VODCA L (2010–2021), for above-ground biomass monitoring. VODCA v2 has lower noise levels than the previous product version and provides valuable insights into plant water dynamics and biomass changes, even in areas where optical data are limited.
VODCA v2 is a dataset providing vegetation indicators for long-term ecosystem monitoring. VODCA...
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