PhD student
I am a PhD student interested in how to enable and scale the restoration of the Atlantic Forest in Brazil, one of the most biodiverse biomes in the world. My background is mainly in interdisciplinary environmental sciences and remote sensing.
Selected Publications
Begliomini, F.N., Barbosa, C.C.F., Martins, V.S., Novo, E.M.L.M., Paulino, R.S., Maciel, D.A., Lima, T.M.A., O’Shea, R.E., Pahlevan, N., Lamparelli, M.C., 2023. Machine learning for cyanobacteria mapping on tropical urban reservoirs using PRISMA hyperspectral data. ISPRS J. Photogramm. Remote Sens. 204, 378–396.https://doi.org/10.1016/j.isprsjprs.2023.09.019
Begliomini, F.N., Maciel, D.C., De Almeida, S.M., Abessa, D.M., Maranho, L.A., Pereira, C.S., Yogui, G.T., Zanardi-Lamardo, E., Castro, Í.B., 2017. Shell alterations in limpets as putative biomarkers for multi-impacted coastal areas. Environ. Pollut. 226, 494–503. https://doi.org/10.1016/j.envpol.2017.04.045
Lima, T.M.A.D., Giardino, C., Bresciani, M., Barbosa, C.C.F., Fabbretto, A., Pellegrino, A., Begliomini, F.N., 2023. Assessment of Estimated Phycocyanin and Chlorophyll-a Concentration from PRISMA and OLCI in Brazilian Inland Waters: A Comparison between Semi-Analytical and Machine Learning Algorithms. Remote Sens. 15, 1299. https://doi.org/10.3390/rs15051299
Maciel, D.A., Barbosa, C.C.F., Novo, E.M.L.D.M., Flores Júnior, R., Begliomini, F.N., 2021. Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods. ISPRS J. Photogramm. Remote Sens. 182, 134–152.https://doi.org/10.1016/j.isprsjprs.2021.10.009
Paulino, R.S., Martins, V.S., Novo, E.M.L.M., Barbosa, C.C.F., de Carvalho, L.A.S., Begliomini, F.N., 2022. Assessment of Adjacency Correction over Inland Waters Using Sentinel-2 MSI Images. Remote Sens. 14, 1829. https://doi.org/10.3390/rs14081829
Forest Ecology and Conservation Group 