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Publications

Every researcher knows the amount of work behind each research paper, and we would like to highlight each one with preview figures so we can remember they are unique in the data sources and analysis. Google Scholar

2024

29. Portela, C. F., Martins, V. S., Novo, E. M., Paulino, R. S., & Barbosa, C. C. (2024). Recent advances in geostationary satellites for inland and coastal aquatic systems: scientific research and applications. International Journal of Remote Sensing, 45(5), 1574-1607.

28. Gamagedara, Y., Wijewardane, N. K., Feng, G., Seybold, C., Williams, M., Tagert, M. L., & Martins, V. S. (2024). Can we use a mid-infrared fine-ground soil spectral library to predict non-fine-ground spectra?. Geoderma, 443, 116799.

2023

27. Maciel, D.A., Pahlevan,N., Barbosa, C.C.F., Martins, V.S., Smith, B., O'Shea, R.E., Balasubramanian, S.V., Saranathan, Arun M., Novo,E.M.L.M.. (2023), Towards global long-term water transparency products from the Landsat archive. Remote Sensing of Environment, V. 299., 113889.

26. 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 Journal of Photogrammetry and Remote Sensing. Volume 204, 378-396.

25. Paulino, R.S., Martins, V.S., Novo, E.M.L.M., Maciel,D.A., Correia-Lima,D.L., Barbosa, C.C.F., Bonnet, M.P., Uhde, A. (2023), A framework based on spectral similarity to estimate hydrological connectivity in Juruá River floodplain lakes using 3-m PlanetScope data. Journal of Hydrology. 130156.

24. Maciel, D.A., Pahlevan, N., Barbosa, C.C.F., Novo, E.M.L.M., Paulino, R.S., Martins, V.S., Vermote, E. and Crawford, C.J. (2023), Validity of the Landsat surface reflectance archive for aquatic science: Implications for cloud-based analysis. Limnology and Oceanography Letters.

23. Caballero, C. B., Guedes, H. A. S., Fraga, R. D. S., Mendes, K. G. P., Fonseca, E. H. D., Martins, V. S., & Mensch, M. D. S. (2023). Predictive model for monitoring water turbidity in a subtropical lagoon using Sentinel-2A/B MSI images. RBRH, 28, e5..

2022

22. Caballero, C. B., Guedes, H. A. S., ANDRADE, A. C. F., Martins, V. S., Fraga, R. S., & Mendes, K. G. (2022). Empirical and semi-empirical chlorophyll-a modeling for water quality assessment through river-lake transition in extreme Southern Brazil. Anais da Academia Brasileira de Ciências, 94.

2021

2020

2019

2018

2017

Conference proceedings

Machine Learning Classification of Trophic State Index from Sentinel-2 MSI Image (2023). Silva, A. C. C., Portela, C. I., Barbosa, C.C.F., Maciel, D. A., Wanderley, R. L. N., Paulino, R. S., Silva, G., Martins, V.S.. In Proceedings of the XX Brazilian Symposium on Remote Sensing - SBSR, Florianopis. São José dos Campos: INPE

Modeling Clorophyll-a concentration based on simulated OLCI/Sentinel-3 and MSI/Sentinel-2 bands in a tropical  water reservoir. Portela, C. I., Paulino, R. S., Joia, L.M., Novo, E.M.L.M., Martins, V.S., Barbosa, C.C.F.. In Proceedings of the XX Brazilian Symposium on Remote Sensing - SBSR, Florianopis. São José dos Campos: INPE

Huang, H.; Roy, D.P.; Yan, L; Martins, V.S.; Boschetti, L.. Demonstration of the Suitability of Commercial High Spatial and Temporal Resolution PlanetScope Imagery for Burned Area Mapping. AGU Fall Meeting 2022.

Begliomini, F. N.; Barbosa, C. C. F.; Martins, V. S.; Novo, E. M. L. De M.; Maciel, D. A.; Paulino, R. S.; Flores Júnior, R.; Lima, T. M. A. Exploring PRISMA data for Chlorophyll-a retrieval through hyperspectral NDCI. In: EARseL, 2022, Potsdam.


Zhang, H.; Roy, D.P.; Martins, V.S.. A novel deep convolutional neural network approach for large area satellite time series land cover classification. AGU Fall Meeting 2021.

Paulino, R.S.; Novo, E.M. L. M.; Martins, V.S.; Cairo, C.T.; Maciel D.A.; Barbosa, C. C. F.. Application of continuous Fuzzy rating for spatiotemporal analysis of algae bloom in the Ibitinga reservoir XXIV Brazilian Symposium of Water Resources. Nov/2021.

Four decades of land use and cover changes in Santa Barbara watershed, RS. Fonseca, E.H.; Guedes, H. A. S.; Martins, V.S..; Mendes, K. G. P.; Nunes, C. O.; Sampaio, D. M.. XXIV Brazilian Symposium of Water Resources. Nov/2021.

Lobo, F. L.; Nagel, G.; Maciel, D. A.; Ferral, A.; German, A.; Carvalho, L. S.; Martins, V.; Barbosa, C. C. F.; Novo, E.M. L. M..; Fernandez, M.; Fernandez, V.;  Yunes, J. S., Collares, G. L.; Greb, S.; Beltramone, G.; Castro, L. P.; Pereira Filho, W.; Montoya, E.; Vega. B.; and Sanchez, M. S.. Alert system for algae bloom detection in inland waters of Latin America: an ongoing project. Session: EOxposure – a processing framework to track human external exposome using Earth Observation and ground based data. IEEE Geoscience and Remote Sensing Society and the IGARSS 2021. 2021.

Nagel, G. W., Novo, E.M. L. M., Maciel D.A., Martins, V.S., Barbosa, C. C. F.. Detection of Algae Bloom using Cubesat images in the Brazilian Pantanal. 4th International Academy of Astronautics Latin American Cubesat Workshop. August 2020.

Martins, V.S.; Kaleita, A. L.; Gelder, B. K.; Silveira, H. L.F.; Abe, C.A.. Exploring Object-Based CNN Architecture for Land Cover Classification of High-Resolution Remote Sensing Data. AGU Fall Meeting 2019.

Fraga, R. S.; Guedes, H. A.S.; Caballero, C.B.; Mendes, K. G.P.; Martins, V. S.; Fassoni-Andrade, A.C.; Fonseca, M.O.. Empirical modeling of suspended solids in the Mirim Lagoon, RS, using data from MSI / Sentinel-2. XXIII Brazilian Symposium on Water Resources. (In Portuguese)

Caballero, C.B.; Guedes, H.A.S.; Fraga, R.S.F.; Mendes, K.G.P; Fassoni-Andrade, A.C.; Martins, V.S.. Remote sensing applied to the study of inland waters: monitoring chlorophyll-a in a subtropical lake. XXIII Brazilian Symposium on Water Resources. (In Portuguese)

Fassoni-Andrade, A. C.; Passaia, O. A.; Martins, V.S.; Paiva, R.C. D.. Estimate of the bathymetry of the Sobradinho reservoir using orbital images. In Proceedings of the XIX Brazilian Symposium on Remote Sensing - SBSR, Santos. São José dos Campos: INPE. Vol 17, 2019 - 96325. (In Portuguese)

Maciel, D. A.; Junior, R. F.; Cairo, C. T.; de Carvalho, L. A. S.; Lobo, F. L.; Carlos, F. M.; Martins, V.S.; Barbosa, C. C. F.; Novo, E. M. L. M..Modeling suspended sediments in Amazon floodplains using orbital moderate resolution sensors. In Proceedings of the XIX Brazilian Symposium on Remote Sensing - SBSR, Santos. São José dos Campos: INPE. Vol 17, 2019 - 96330.

Carlos, F. M.; Martins, V.S.; Barbosa, C. C. F.. Semi-automatic atmospheric correction system for orbital multi-sensors. In Proceedings of the XIX Brazilian Symposium on Remote Sensing - SBSR, Santos. São José dos Campos: INPE. Vol 17, 2019 - 96336. (In Portuguese)

Martins, V.S.; de Carvalho, L.A.S.; Barbosa, C.C.F.; Novo, E.M.L.M.. Assessment of OLI/Landsat 8 products in Amazon lakes: Atmospheric Correction. In Proceedings of the XVIII Brazilian Symposium on Remote Sensing – SBSR, Santos (p. 926-933). São José dos Campos: INPE. (In Portuguese)

Novo, E.M.L.M.; Martins, V.S.; Affonso, A.G.; Montanher, O.C.; de Carvalho, L.A.S.; Barbosa, C.C.F. Evaluation of WFI/CBERS-4 images in the study of water types in the Mamirauá Sustainable Development Reserve (AM). In Proceedings of the XVIII Brazilian Symposium on Remote Sensing – SBSR, Santos (p. 1020-1027). São José dos Campos: INPE. (In Portuguese)

Carvalho, L.A.S.; Martins, V.S.; Lobo, F.L.; Barbosa, C.C.F.; Novo, E.M.L.M.. Investigating empirical models to retrieve the backscattering slope from Landsat 8 Images - The case of Lago Grande Curuai. In Proceedings of the XVIII Brazilian Symposium on Remote Sensing – SBSR, Santos (p. 2067-2074). São José dos Campos: INPE.

Ferreira, R. M. P.; Barbosa, C. C. F.; Martins, V. S.; Carvalho, L. A. S.; Jorge, D. S. F.; Silva, M. P. Application of the MSI/Sentinel-2 sensor in the estimation of optically active components in Amazonian floodplain lakes. In Proceedings of the XVIII Brazilian Symposium on Remote Sensing – SBSR, Santos (p. 3687-3694). São José dos Campos: INPE. (In Portuguese)

Abe, C.A.; Martins, V. S.; Rosa, E.B.. Evaluation of two supervised classification techniques and the influences of thermal band application on target distinction: a case study of Santa Catarina island - Brazil. In Proceedings of the XVIII Brazilian Symposium on Remote Sensing – SBSR, Santos (p. 40-47). São José dos Campos: INPE.

Guedes, H. A. S., Silva, D., Dergam, J., & Martins, V. S. (2016). Habitat of five species of fish native to the Formoso River, Minas Gerais. Brazilian Journal of Engineering and Sustainability, 2(1), 33-42. (In Portuguese)

Xavier, F.V.; Martins, V. S.; Faria, A.L.L.. (2015) Temporal analysis of the urban sprawl in the Lagoa Santa/MG region from its physical characteristics. Enciclopedia Biosfera. DOI: 10.18677/Enciclopedia_Biosfera_2015_060. (In Portuguese)

Oliveira, G.C.;  Martins, V. S.; Filho, E.I.F.; Xavier, F.V.. (2014). Supervised classification as a tool for evaluating the dynamics of land use and land cover. Enciclopedia Biosfera, v.10, n.18; p. 2014. (In Portuguese)

Martins, V. S.; Silva, D. D.; Guedes, H. A. S., Silva.(2012) Inaccuracies on morphometric characterization of watersheds on GIS ambient. 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. Florianopolis, SC, Brazil.

Martins, V. S.; Guedes, H. A. S., Capobiango, G.V.; Silva, D. D.. (2011) The importance of hydrographic conditioning in the morphometric study of basins. Brazilian Symposium on Remote Sensing - SBSR/INPE. Curitiba, PR, Brazil. (In Portuguese)

Martins, V. S.; Silva, J.B.L.; Ferreira, P.A.; Justino, F.. (2011) Influence of high [CO2] environment and water stress on total dry matter and photosynthetic rate of bean crop. XVII Congresso Brasileiro de Agrometeorologia. SESC Centro de Turismo de Guarapari, Guarapari - ES, Brazil. (In Portuguese)

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