Articles | Volume 18, issue 1
https://doi.org/10.5194/essd-18-309-2026
https://doi.org/10.5194/essd-18-309-2026
Data description paper
 | 
13 Jan 2026
Data description paper |  | 13 Jan 2026

Global near real-time 500 m 10 d FPAR dataset from MODIS and VIIRS for operational agricultural monitoring and crop yield forecasting

Lorenzo Seguini, Anja Klisch, Michele Meroni, Anton Vrieling, Giacinto Manfron, Clement Atzberger, and Felix Rembold

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Cited articles

Atzberger, C. and Eilers, P. H.: A time series for monitoring vegetation activity and phenology at 10-daily time steps covering large parts of South America, International Journal of Digital Earth, 4, 365–386, https://doi.org/10.1080/17538947.2010.505664, 2011a. a
Atzberger, C. and Eilers, P. H. C.: Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements, International Journal of Remote Sensing, 32, 3689–3709, https://doi.org/10.1080/01431161003762405, 2011b. a
Atzberger, C., Vuolo, F., Klisch, A., Rembold, F., Meroni, M., Mello, M. P., and Formaggio, A.: Agriculture, in: Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, CRC Press, 42 pp., ISBN 978-0-429-08944-2, 2015. a, b, c
Basso, B. and Liu, L.: Chapter Four - Seasonal crop yield forecast: Methods, applications, and accuracies, in: Advances in Agronomy, edited by: Sparks, D. L., vol. 154, Academic Press, 201–255, https://doi.org/10.1016/bs.agron.2018.11.002, 2019. a
Beck, P. S. A., Atzberger, C., Høgda, K. A., Johansen, B., and Skidmore, A. K.: Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI, Remote Sensing of Environment, 100, 321–334, https://doi.org/10.1016/j.rse.2005.10.021, 2006. a
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We released a consistent, multi-sensor, timeseries of global biophysical data at 500 m resolution, updated every 10 d since 2000. This dataset is filtered and optimized for agricultural applications and meets the operational needs of the systems for early warning, and crop yield forecasting. Data are freely available at https://data.jrc.ec.europa.eu/dataset/1aac79d8-0d68-4f1c-a40f-b6e362264e50.
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