Santini, W., Delort-Ylla, A., Lavado-Casimiro, W., Camenen, B., Roussillon, J., Pérez Arévalo, J. J., … & Martinez, J. M. (2026). Long-term hydro-sedimentary dynamics of the Ucayali River (Amazon Basin) revealed through combined observations, remote sensing, and SWAT-Amazon modelling. Hydrology and Earth System Sciences, 30(11), 3367-3397.
Joffre, M., Tavares, M., Roussillon, J., Dos Santos, V., Chevalier, P., Cakir, R., … & Sauvage, S. (2026). A regional framework for spatio-temporal assessment of lake eutrophication using Sentinel-2/MSI imagery. Ecological Indicators, 182, 114536.
Tavares, M. H., Guimarães, D., Roussillon, J., Baute, V., Cucherousset, J., Boulêtreau, S., & Martinez, J. M. (2025). A framework to retrieve water quality parameters in small, optically diverse freshwater ecosystems using Sentinel-2 MSI imagery. Remote Sensing, 17(15), 2729.
Pauthenet, E., Martinez, E., Gorgues, T., Roussillon, J., Drumetz, L., Fablet, R., & Roux, M. (2024). Contrasted trends in chlorophyll‐a satellite products. Geophysical Research Letters, 51(14), e2024GL108916.
Roussillon, J., Fablet, R., Gorgues, T., Drumetz, L., Littaye, J., & Martinez, E. (2023). A Multi-Mode Convolutional Neural Network to reconstruct satellite-derived chlorophyll-a time series in the global ocean from physical drivers. Frontiers in Marine Science, 10, 1077623.
Martinez, E., Brini, A., Gorgues, T., Drumetz, L., Roussillon, J., Tandeo, P., … & Fablet, R. (2020). Neural network approaches to reconstruct phytoplankton time-series in the global ocean. Remote Sensing, 12(24), 4156.
