Remote Sensing        INOE

ISI Papers

Journals

• Mereuţă, A., Ajtai, N., Radovici, A. T., Papagiannopoulos, N., Deaconu, L. T., Botezan, C. S., Ştefănie, H. I., Nicolae, D., & Ozunu, A. (2022). A novel method of identifying and analysing oil smoke plumes based on MODIS and CALIPSO satellite data. Atmospheric Chemistry and Physics, 22(7), 5071–5098. https://doi.org/10.5194/acp-22-5071-2022

• Adam, M., Fragkos, K., Binietoglou, I., Wang, D., Stachlewska, I. S., Belegante, L., & Nicolae, V. (2022). Towards Early Detection of Tropospheric Aerosol Layers Using Monitoring with Ceilometer, Photometer, and Air Mass Trajectories. Remote Sensing, 14(5), 1217. https://doi.org/10.3390/rs14051217

• Adam, M., Fragkos, K., Solomos, S., Belegante, L., Andrei, S., Talianu, C., Mărmureanu, L., Antonescu, B., Ene, D., Nicolae, V., & Amiridis, V. (2022). Methodology for Lidar Monitoring of Biomass Burning Smoke in Connection with the Land Cover. Remote Sensing, 14(19), 4734. https://doi.org/10.3390/rs14194734

• Chen, G., Canonaco, F., Tobler, A., Aas, W., Alastuey, A., Allan, J., Atabakhsh, S., Aurela, M., Baltensperger, U., Bougiatioti, A., De Brito, J. F., Ceburnis, D., Chazeau, B., Chebaicheb, H., Daellenbach, K. R., Ehn, M., El Haddad, I., Eleftheriadis, K., Favez, O., … Prévôt, A. S. H. (2022). European aerosol phenomenology − 8: Harmonised source apportionment of organic aerosol using 22 Year-long ACSM/AMS datasets. Environment International, 166, 107325. https://doi.org/10.1016/j.envint.2022.107325

• Via, M., Chen, G., Canonaco, F., Daellenbach, K. R., Chazeau, B., Chebaicheb, H., Jiang, J., Keernik, H., Lin, C., Marchand, N., Marin, C., O’Dowd, C., Ovadnevaite, J., Petit, J.-E., Pikridas, M., Riffault, V., Sciare, J., Slowik, J. G., Simon, L., … Cruz Minguillón, M. (2022). Rolling vs. seasonal PMF: Real-world multi-site and synthetic dataset comparison. Atmospheric Measurement Techniques, 15(18), 5479–5495. https://doi.org/10.5194/amt-15-5479-2022

• Pîrloagă, R., Ene, D., Boldeanu, M., Antonescu, B., O’Connor, E. J., & Ştefan, S. (2022). Ground-Based Measurements of Cloud Properties at the Bucharest–Măgurele Cloudnet Station: First Results. Atmosphere, 13(9), 1445. https://doi.org/10.3390/atmos13091445

•  Boldeanu, M., Gonzalez-Alonso, M., Cucu, H., Burileanu, C., Maya-Manzano, J. M., & Buters, J. T. M. (2022). Automatic Pollen Classification and Segmentation Using U-Nets and Synthetic Data. IEEE Access, 10, 73675–73684. https://doi.org/10.1109/ACCESS.2022.3189012

• Luther, A., Kostinek, J., Kleinschek, R., Defratyka, S., Stanisavljević, M., Forstmaier, A., Dandocsi, A., Scheidweiler, L., Dubravica, D., Wildmann, N., Hase, F., Frey, M. M., Chen, J., Dietrich, F., Nȩcki, J., Swolkień, J., Knote, C., Vardag, S. N., Roiger, A., & Butz, A. (2022). Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network. Atmospheric Chemistry and Physics, 22(9), 5859–5876. https://doi.org/10.5194/acp-22-5859-2022

• Alberti, C., Hase, F., Frey, M., Dubravica, D., Blumenstock, T., Dehn, A., Castracane, P., Surawicz, G., Harig, R., Baier, B. C., Bès, C., Bi, J., Boesch, H., Butz, A., Cai, Z., Chen, J., Crowell, S. M., Deutscher, N. M., Ene, D., … Orphal, J. (2022). Improved calibration procedures for the EM27/SUN spectrometers of the COllaborative Carbon Column Observing Network (COCCON). Atmospheric Measurement Techniques, 15(8), 2433–2463. https://doi.org/10.5194/amt-15-2433-2022

• Dias, N. G., Arribas, B. N., Gordo, P., Sousa, T., Marinho, J., Melicio, R., Amorim, A., Belegante, L., & Michel, P. (2022). HERA Mission LIDAR Mechanical and Optical Design. IOP Conference Series: Materials Science and Engineering, 1226(1), 012094. https://doi.org/10.1088/1757-899X/1226/1/012094