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Mohsen, A., Kiss, T. and Kovács, F. (2023) Machine learning-based detection and mapping of riverine litter utilizing Sentinel-2 imagery. Environ. Sci. Pollut. Res., 30, 67742–67757, [...]

Mifdal, J., Longépé, N. and Rußwurm, M. (2021) Towards detecting floating objects on a global scale with learned spatial features using Sentinel 2. ISPRS Ann. Photogramm. Remote Sens. Spatial [...]

Matthews, J. P., Ostrovsky, L., Yoshikawa, Y., Komori, S. and Tamura, H. (2017) Dynamics and early post-tsunami evolution of floating marine debris near Fukushima Daiichi. Nature Geosci., 10, [...]

Maciel, F. P., Haakonsson, S., Ponce de León, L., Bonilla, S., & Pedocchi, F. (2023). Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation [...]

Maharjan, N., Miyazaki, H., Pati, B. M.; Dailey, M. N.; Shrestha, S. and Nakamura, T. (2022). Detection of river plastic using UAV sensor data and deep learning. Remote Sens., 14, (13), 3049, [...]

Ma, Y., Qu, X., Yu, C., Wu, L., Zhang, P., Huang, H., Gui, F. and Feng, D.(2022). Automatic extraction of marine aquaculture zones from optical satellite images by R3Det with piecewise linear [...]

Mikelsons, K., M. Wang, E. Kwiatkowska, L. Jiang, D. Dessailly, and J.I. Gossn, (2022) Statistical evaluation of Sentinel-3 OLCI ocean color data retrievals, IEEE Trans. Geosci. Remote Sens., 60, [...]

Merlino, S., Paterni, M., Locritani, M., Andriolo, U., Gonçalves, G., Massetti, L. (2021). Citizen Science for Marine Litter Detection and Classification on Unmanned Aerial Vehicle Images. Water, [...]

Moy, K., Neilson, B., Chung, A., Meadows, A., Castrence, M., Ambagis, S., and Davidson, K. (2018). Mapping coastal marine debris using aerial imagery and spatial analysis, Mar. Pollut. Bull., [...]

Murata, H., Komatsu, T., Yonezawa, C. (2019) Detection and discrimination of aquacultural facilities in Matsushima Bay, Japan, for integrated coastal zone management and marine spatial planning [...]