General information on MERIS

Meris instrument webpage (ESA - website)

Meris Product Handbook (ESA - website)

Scientific articles

Bicheron, P., & Leroy, M. (1999). A Method of Biophysical Parameter Retrieval at Global Scale by Inversion of a Vegetation Reflectance Model. Remote Sensing of Environment, 67(98), 251-266. doi:10.1016/S0034-4257(98)00083-2

Csornai, G., Suba, Z., Wirnhardt, C., & G. (2003). Application development for the utilisation of ENVISAT data. Proceedings of the MERIS User Workshop 10-13 November 2003. Frascati, Italy: ESA. Retrieved from

Donlon, C., Berruti, B., Buongiorno, A., Ferreira, M.-H., Féménias, P., Frerick, J., Goryl, P., et al. (2012). The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission. Remote Sensing of Environment. doi:10.1016/j.rse.2011.07.024

Fensholt, R., Sandholt, I., & Stisen, S. (2006). Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment. IEEE Transactions on Geoscience and Remote Sensing, 44(7), 1774-1786. doi:10.1109/TGRS.2006.875940

Gobron, N., Pinty, B., Verstraete, M., & Govaerts, Y. (1999). The MERIS Global Vegetation Index (MGVI): Description and preliminary application. International Journal of Remote Sensing, 20(9), 1917–1927. doi:10.1080/014311699212542

Gobron, N., M. Taberner, B. Pinty, F. Mélin, M.M. Verstraete and J.-L. Widlowski (2003): Evaluation of the MERIS Global Vegetation Index: Methodology and Initial Results. Proceedings of the MERIS and ATSR Calibration and Geophysical Validation (MAVT), Frascati, Italy, 20-23 October, 2003, European Space Agency SP 541.

Gobron, N., B. Pinty, F. Mélin, M. Taberner, M.M. Verstraete, A. Belward, T. Lavergne & J.-L. Widlowski (2004): The state of vegetation in Europe following the 2003 drought. Submitted to IJRS Letters.

Gobron, N., F. Mélin, B. Pinty, M. Taberner and M. M. Verstraete (2003): MERIS Global Vegetation Index: evaluation and performance, Proceedings of MERIS user Workshop, 10-13 nov 2003, ESA-ESRIN, Frascati, Italy.

Leroy, M., Lacaze, R., Lindau, R., Olesen, F., Pessanha, L., Piccard, I., Rosema, A., et al. (2005). An introduction to the biogeophysical paramter core service of the geoland project. In F. Veroustraete, E. Bartholomé, & W. W. Verstraeten (Eds.), Proceedings of the 2nd International VEGETATION User Conference (pp. 5-16). Antwerp: European Communities.

Pinty, B., N. Gobron, F. Mélin and M. M. Verstraete (2002): A Time Composite Algorithm for FAPAR products, Theoretical Basis Document Joint Research Centre, TP 440 I{21020 Ispra (VA), Italy Version 1.0, May 24, 2002 JRC Publication No. EUR 20150 EN.

Skinner, L., & Luckman, A. (2004). Introducing a landcover map of Siberia derived from MERIS and MODIS data. IEEE International Geoscience and Remote Sensing Symposiumience and Remote Sensing Symposium, 2004. IGARSS  ’04. Proceedings. 2004 (Vol. 1, pp. 223-226). IEEE. doi:10.1109/IGARSS.2004.1369001

Steven, M. D., Malthus, T. J., Baret, F., Xu, H., & Chopping, M. J. (2003). Intercalibration of vegetation indices from different sensor systems. Remote Sensing of Environment, 88(4), 412-422. doi:10.1016/j.rse.2003.08.010

Udelhoven, T. (2011). TimeStats: A Software Tool for the Retrieval of Temporal Patterns From Global Satellite Archives. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4(2), 310-317. doi:10.1109/JSTARS.2010.2051942

Vancutsem, C., Bicheron, P., Cayrol, P., & Defourny, P. (2007). An assessment of three candidate compositing methods for global MERIS time series. Canadian Journal of Remote Sensing, 33(6), 492-502. doi:10.5589/m07-056

Verrelst, J., Muñoz, J., Alonso, L., Delegido, J., Rivera, J. P., Camps-Valls, G., & Moreno, J. (2012). Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3. Remote Sensing of Environment, 118, 127-139. doi:10.1016/j.rse.2011.11.002

Zhu, X., Chen, J., Gao, F., Chen, X., & Masek, J. G. (2010). An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions. Remote Sensing of Environment, 114(11), 2610-2623. doi:10.1016/j.rse.2010.05.032