Bibliographies

Chen, Z., Si, W., Johnson, V. C., Oke, S. A., Wang, S., Lv, X., Tan, M. L., Zhang, F., and Ma, X. (2025) Remote sensing research on plastics in marine and inland water: Development, opportunities [...]

Cerra, D., Auer, S., Baissero, A., and Bachofer, F. (2025) Detection and monitoring of floating plastic debris on inland waters from Sentinel-2 time series, IEEE J. Sel. Top. Appl. Earth Obs. [...]

Bansal, K., and Tripathi, A. K. (2025) Automated floating debris monitoring using optical satellite imagery and artificial intelligence: Recent trends, challenges and opportunities, Remote Sens. [...]

Lavigne, H., Dogliotti, A., Doxaran, D., Shen, F., Castagna, A, Beck, M., Vanhellemont, Q,  Sun, X., Gossn, J. I., Renosh, P. R., Sabbe, K., Vansteenwegen, D, Ruddick, K. (2022) The HYPERMAQ [...]

Martin, S., Bryère, P., Gernez, P., Renosh, P. R., & Doxaran, D. (2025). Towards Reliable High-Resolution Satellite Products for the Monitoring of Chlorophyll-a and Suspended Particulate [...]

Renosh, P. R., Zhang, J., Sauzède, R., & Claustre, H. (2023). Vertically Resolved Global Ocean Light Models Using Machine Learning. Remote Sensing, 15(24), 5663. https://doi.org/10.3390/rs15245663

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 [...]

Venkatraman, S., Begum, S. S., Nithya, K., Sujatha, M., Jayasankar, T., Prakash, N. B., Srinivasan, S., and Vivek, S. (2024) Automated system for identifying marine floating plastics to enhance [...]

Schmid, T., Wellhausen, J., Kumm, M., Binkele, T., Tholen, C. and Wurl, O. (2024) Requirement study on a specialized hyperspectral aerial imaging system for marine plastic litter classification, [...]

Schreyers, L., van Emmerik, T., Biermann, L. and van der Ploeg, M. (2022) Direct and indirect river plastic detection from space, in Proceedings IGARSS 2022 – 2022 IEEE International [...]