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Jordan, T. M., Dall’Olmo, G., Tilstone, G., Brewin, R. J. W., Nencioli, F., Airs, R., Thomas, C. S., and Schlüter, L. (2025) A compilation of surface inherent optical properties and [...]

Jeong, Y., Shin, J., Lee, J.-S., Baek, J.-Y., Schläpfer, D., Kim, S.-Y., Jeong, J.-Y. and Jo, Y.-H. (2024) A study on the monitoring of floating marine macro-litter using a multi-spectral sensor [...]

Jayabhavani, G. N. and Tamilarasi, M. (2024) Floating Litter detection at the Estuary of Puducherry using Sentinel-2 data and Machine Learning model. Reg. Stud. Mar. Sci., 103686, [...]

Jiao, J., Y. Lu, and C. Hu (2024). Characterizing oil spills using deep learning and spectral-spatial-geometrical features of HY-1C/D CZI images. Remote Sens. Environ., 308, [...]

Jiao, J., Y. Lu, and C. Hu (2023). Optical interpretation of oil emulsions in the ocean – Part III: A three-dimensional unmixing model to quantify oil concentration. Remote Sens. Environ., [...]

Jia, T., Vallendar, A. J., de Vries, R., Kapelan, Z., and Taormina, R. (2023) Advancing deep learning-based detection of floating litter using a novel open dataset, Front. Water, 5, 1298465, [...]

Jia, T., Kapelan, Z., de Vries, R., Vriend, P., Peereboom, E. C., Okkerman, I. and Taormina, R., (2023). Deep learning for detecting macroplastic litter in water bodies: A review. Water Res., [...]

Jakovljevic, G., Govedarica, M., and Alvarez-Taboada, F.(2020). A deep learning model for automatic plastic mapping using unmanned aerial vehicle (UAV) data, Remote Sens. (Basel), 12, 1515 ( [...]

Janssens, N., Schreyers, L., Biermann, L., van der Ploeg, M., Le Bui, T.-K. and van Emmerik, T. (2022). Rivers running green: water hyacinth invasion monitored from space. Environmental Research [...]

Juhls, B., A. Matsuoka, M. Lizotte, G. Bécu, P.P. Overduin, J. El Kassar, E. Devred, D. Doxaran, J. Ferland, M.H. Forget, A. Hilborn, M. Hieronymi, E. Leymarie, J. Maury, L. Oziel, L. Tisserand, [...]