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Publications

Peer-reviewed 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

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.

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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.

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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.

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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.

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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..

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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.

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21. Martins, V. S., Roy, D. P., Huang, H., Boschetti, L., Zhang, H. K., & Yan, L. (2022). Deep learning high resolution burned area mapping by transfer learning from Landsat-8 to PlanetScope. Remote Sensing of Environment, 280, 113203

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20. Paulino, R. S., Martins, V. S., Novo, E. M., Barbosa, C. C., de Carvalho, L. A., & Begliomini, F. N. (2022). Assessment of Adjacency Correction over Inland Waters Using Sentinel-2 MSI Images. Remote Sensing, 14(8), 1829.

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19. Zhai, Y., Roy, D. P., Martins, V. S., Zhang, H. K., Yan, L., & Li, Z. (2022). Conterminous United States Landsat-8 top of atmosphere and surface reflectance tasseled cap transformation coefficients. Remote Sensing of Environment, 274, 112992.

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18. Nagel, G. W., de Moraes Novo, E. M. L., Martins, V. S., Campos-Silva, J. V., Barbosa, C. C. F., & Bonnet, M. P. (2022). Impacts of meander migration on the Amazon riverine communities using Landsat time series and cloud computing. Science of The Total Environment, 806, 150449.

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2021

17. Lobo, F. D. L., Nagel, G. W., Maciel, D. A., Carvalho, L. A. S. D., Martins, V. S., Barbosa, C. C. F., & Novo, E. M. L. D. M. (2021). AlgaeMAp: algae bloom monitoring application for inland waters in latin america. Remote Sensing, 13(15), 2874.

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16. Roy, D. P., Huang, H., Houborg, R., & Martins, V. S. (2021). A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery. Remote Sensing of Environment, 264, 112586..

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15. Martins, V. S., Kaleita, A. L., & Gelder, B. K. (2021). Digital mapping of structural conservation practices in the Midwest US croplands: Implementation and preliminary analysis. Science of The Total Environment, 772, 145191.

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13. Damascena, A. S., Yamasoe, M. A., Martins, V. S., Rosas, J., Benavente, N. R., Sánchez, M. P., ... & Saldiva, P. H. N. (2021). Exploring the relationship between high-resolution aerosol optical depth values and ground-level particulate matter concentrations in the Metropolitan Area of São Paulo. Atmospheric Environment, 244, 117949.

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2020

14. Martins, V. S., Kaleita, A. L., Gelder, B. K., da Silveira, H. L., & Abe, C. A. (2020). Exploring multiscale object-based convolutional neural network (multi-OCNN) for remote sensing image classification at high spatial resolution. ISPRS Journal of Photogrammetry and Remote Sensing, 168, 56-73.

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12. Martins, V. S., Kaleita, A. L., Gelder, B. K., Nagel, G. W., & Maciel, D. A. (2020). Deep neural network for complex open-water wetland mapping using high-resolution WorldView-3 and airborne LiDAR data. International Journal of Applied Earth Observation and Geoinformation, 93, 102215.

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11. Maciel, D. A., Barbosa, C. C. F., de Moraes Novo, E. M. L., Cherukuru, N., Martins, V. S., Júnior, R. F., ... & Carlos, F. M. (2020). Mapping of diffuse attenuation coefficient in optically complex waters of amazon floodplain lakes. ISPRS Journal of Photogrammetry and Remote Sensing, 170, 72-87.

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10. Prudente, V. H. R., Martins, V. S., Vieira, D. C., e Silva, N. R. D. F., Adami, M., & Sanches, I. D. A. (2020). Limitations of cloud cover for optical remote sensing of agricultural areas across South America. Remote Sensing Applications: Society and Environment, 20, 100414.

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9. Fraga, R. S., Guedes, H. A., Martins, V. S., Caballero, C. B., Mendes, K. G., Monks, J. L., & Fassoni-Andrade, A. C. (2020). Empirical modelling of suspended solids in a subtropical lagoon (Brazil) using linear spectral mixing algorithm. Remote Sensing Applications: Society and Environment, 20, 100380.

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8. Maciel, D. A., Novo, E. M. L. D. M., Barbosa, C. C. F., Martins, V. S., Flores Júnior, R., Oliveira, A. H., ... & Lobo, F. D. L. (2020). Evaluating the potential of CubeSats for remote sensing reflectance retrieval over inland waters. International Journal of Remote Sensing, 41(7), 2807-2817.

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2019

7. Martins, V. S., Lyapustin, A., Wang, Y., Giles, D. M., Smirnov, A., Slutsker, I., & Korkin, S. (2019). Global validation of columnar water vapor derived from EOS MODIS-MAIAC algorithm against the ground-based AERONET observations. Atmospheric Research, 225, 181-192.

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6. Martins, V. S., Martins, V. S., Kaleita, A., Barbosa, C. C., Fassoni-Andrade, A. C., de Lucia Lobo, F., & Novo, E. M. (2019). Remote sensing of large reservoir in the drought years: Implications on surface water change and turbidity variability of Sobradinho reservoir (Northeast Brazil). Remote Sensing Applications: Society and Environment, 13, 275-288.

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5. Barbosa, C.C.F.; Novo, E.M.L.M.; Martins, V.S. (2019), Introduction to Remote Sensing for Aquatic Systems: Principles and Applications. National Institute for Space Research. (Book in Portuguese)

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2018

4. Martins, V. S., Soares, J. V., Novo, E. M., Barbosa, C. C., Pinto, C. T., Arcanjo, J. S., & Kaleita, A. (2018). Continental-scale surface reflectance product from CBERS-4 MUX data: Assessment of atmospheric correction method using coincident Landsat observations. Remote Sensing of Environment, 218, 55-68.

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3. Martins, V. S., Novo, E. M., Lyapustin, A., Aragão, L. E., Freitas, S. R., & Barbosa, C. C. (2018). Seasonal and interannual assessment of cloud cover and atmospheric constituents across the Amazon (2000–2015): Insights for remote sensing and climate analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 145, 309-327.

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2017

2. Martins, V. S., Lyapustin, A., de Carvalho, L. A., Barbosa, C. C. F., & Novo, E. M. L. D. M. (2017). Validation of high‐resolution MAIAC aerosol product over South America. Journal of Geophysical Research: Atmospheres, 122(14), 7537-7559.

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1. Martins, V. S., Barbosa, C. C. F., De Carvalho, L. A. S., Jorge, D. S. F., Lobo, F. D. L., & Novo, E. M. L. D. M. (2017). Assessment of atmospheric correction methods for Sentinel-2 MSI images applied to Amazon floodplain lakes. Remote Sensing, 9(4), 322.

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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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