References
- Bukanova, T., E. Bubnova, O. Kopelevich, S. Vazyulya, and I. Sahling. 2018. “Suspended Matter Distribution in the South-Eastern Baltic from Satellite and in Situ Data.” International Journal of Remote Sensing 39 (24): 9317–9338. doi:10.1080/01431161.2018.1519290.
- Dorofeyev, V., and L. Sukhikh. 2018. “Monitoring of the Black Sea Ecosystem Evolution on 1 the Basis of Remote Sensing Data Assimilation in the Model.” International Journal of Remote Sensing 39 (24): 9339–9355. doi:10.1080/01431161.2018.1523589.
- Drozdova, A. N., M. D. Kravchishina, D. A. Khundzhua, M. P. Freidkin, and S. V. Patsaeva. 2018. “Fluorescence Quantum Yield of CDOM in Coastal Zones of the Arctic Seas.” International Journal of Remote Sensing 39 (24): 9356–9379. doi:10.1080/01431161.2018.1506187.
- Gonçalves, J. A., L. Bastos, S. Madeira, A. Magalhães, and A. Bio. 2018. “Three-Dimensional Data Collection for Coastal Management – Efficiency and Applicability of Terrestrial and Airborne Methods.” International Journal of Remote Sensing 39 (24): 9380–9399. doi:10.1080/01431161.2018.1523591.
- Gritsuta, A. N., A. V. Klimkin, G. P. Kokhanenko, A. N. Kuryak, K. Y. Osipov, Y. N. Ponomarev, and G. V. Simonova. 2018. “Mobile Multi-Wavelength Aerosol Lidar.” International Journal of Remote Sensing 39 (24): 9400–9414. doi:10.1080/01431161.2018.1524609.
- Rostovtseva, V., I. Goncharenko, and B. Konovalov. 2018. “Marine Coastal Zones Monitoring by Shipborne Semiautomatic Passive Optical Complex.” International Journal of Remote Sensing 39 (24): 9415–9427. doi:10.1080/01431161.2018.1526427.
- Traganos, D., and P. Reinartz. 2018. “Machine Learning-Based Retrieval of Benthic Reflectance and Posidonia Oceanica Seagrass Extent Using a Semi-Analytical Inversion of Sentinel-2 Satellite Data.” International Journal of Remote Sensing 39 (24): 9428–9452. doi:10.1080/01431161.2018.1519289.
- Zhelezova, E., E. Krek, and B. Chubarenko. 2018. “Polynya Dynamics in the Vistula Lagoon of the Baltic Sea by Remote Sensing Data.” International Journal of Remote Sensing 39 (24): 9453–9464. doi:10.1080/01431161.2018.1524181.