Vitor S. Martins

Assistant Professor

Dept. of Agricultural and Biological Engineering

Mississippi State University

Office: 130 Creelman Street (room 242), Box 9632, Mississippi State, MS 39762


Research Interests

- Remote sensing of water quality

- Land cover and land change mapping

- Machine learning

Education

2017 - 2020   Ph.D. Agricultural and Biosystems Engineering, Iowa State University, USA.

2015 - 2017   M.Sc. Remote Sensing, Brazilian Institute for Space Research, Brazil.

2009 - 2014   B.Sc. Agricultural and Environmental Engineering, Federal University of Viçosa, Brazil.

Selected Publications

- 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.

- 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.

-  Flores R.J., Barbosa C.C..F, Maciel D.A, Novo E.M.L.M., Martins V.S., Lobo F.L., Carvalho L.A.S., and Carlos F.M. (2022) Hybrid Semi-Analytical Algorithm for Estimating Chlorophyll-A Concentration in Lower Amazon Floodplain Waters. Front. Remote Sens. 3:834576. 

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

- Martins, V. S., Kaleita, A. L., & Gelder, B. K. (2022). Digital mapping of structural conservation practices in the Midwest US croplands: Implementation and preliminary analysis. Science of The Total Environment, 145191.

- Nagel, G. W., Novo, E. M. L. M., Martins, V. S., e Silva, J. V. C., Barbosa, C. C. F., & Bonnet, M. P. (2021). Impacts of meander migration on the Amazon riverine communities using Landsat time series and cloud computing. Science of The Total Environment, 150449.

- 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.

- 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.

- 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.

- Damascena, A. S., Yamasoe, M. A., Martins, V. S., Santana, J. R., Benavente, N. R., Sánchez, M. P., ... & Saldiva, P. H. N. (2020). Exploring the relationship between high-resolution aerosol optical depth values and ground-level fine particulate matter concentrations in the metropolitan area of São Paulo. Atmospheric Environment, 117949.

- Martins, V. S., Kaleita, A. L., Gelder, 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.

- 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.

- 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, 100414. 

- 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, 100380.

- 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.

- 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, v. 225, p. 181-192.

- Martins, V. S., Kaleita, A., Barbosa, C. C., Fassoni-Andrade, A. C., Lobo, F. L., & 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.

- Barbosa, C.C.F.; Novo, E.M.L.M.; Martins, V.S.. Introdução ao Sensoriamento Remoto de Sistemas Aquáticos: princípios e aplicações. 1ª edição. Instituto Nacional de Pesquisas Espaciais. São José dos Campos. 161p. 2019. (Book in portuguese) 

- 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. (Check the product - beta version).

-  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.

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

-  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.

Conference proceedings

- 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.K., 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.; e Barbosa, C.C.F. Application of continuous fuzzy classification for spatiotemporal analysis of algae bloom in Ibitinga reservoir SP. XXIV Brazilian Symposium of Water Resources. Online. November 26 2021.

- Nagel, G. W.; Novo, E. M. L. M.; Maciel, D. A.; Martins, V. S.; Barbosa, C. C. F. (2020) Detection of Algae Bloom Using Cubesat Images in The Brazilian Pantanal. In: 4th International Academy of Astronautics Latin American Cubesat Workshop.

- Fraga, R. S.; Guedes, H. A.S.; Caballero, C.B.; Mendes, K. G.P.; Martins, V. S.; Fassoni-Andrade, A.C.; Fonseca, M.O..(2019) Modelagem empírica de sólidos em suspensão na lagoa mirim, RS, utilizando dados do MSI/Sentinel-2. In Procedings of the XXIII Brazilian Symposium on Water Resources.

- Caballero, C.B.; Guedes, H.A.S.; Fraga, R.S.F.; Mendes, K.G.P; Fassoni-Andrade, A.C.; Martins, V.S..(2019) Sensoriamento remoto aplicado ao estudo de águas interiores: monitoramento de clorofila-a em uma lagoa subtropical. In Procedings of the XXIII Brazilian Symposium on Water Resources.

- Fassoni-Andrade, A. C.; Passaia, O. A.; Martins, V.S.; Paiva, R.C. D..(2019) Estimativa da batimetria do reservatório de Sobradinho por imagens orbitais. In Procedings of the XIX Brazilian Symposium on Remote Sensing - SBSR, Santos. São José dos Campos: INPE. Vol 17, 2019 - 96325.

- 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..(2019) Modeling suspended sediments in Amazon floodplains using orbital moderate resolution sensors. In Procedings 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..(2019) Sistema semi-automático de correção atmosférica para multi-sensores orbitais. In Procedings of the XIX Brazilian Symposium on Remote Sensing - SBSR, Santos. São José dos Campos: INPE. Vol 17, 2019 - 96336.

- Martins, V.S.; de Carvalho, L.A.S.; Barbosa, C.C.F.; Novo, E.M.L.M..(2017) Avalição da acurácia em produtos OLI/Landsat 8 em lagos amazônicos: Correção Atmosférica. In Procedings of the XVIII Brazilian Symposium on Remote Sensing – SBSR, Santos (p. 926-933). São José dos Campos: INPE.

- Novo, E.M.L.M.; Martins, V.S.; Affonso, A.G.; Montanher, O.C.; de Carvalho, L.A.S.; Barbosa, C.C.F.(2017) Avalição de imagens WFI/CBERS-4 no estudo dos tipos de água da Reserva de Desenvolvimento Sustentável de Mamirauá (AM). In Procedings of the XVIII Brazilian Symposium on Remote Sensing – SBSR, Santos (p. 1020-1027). São José dos Campos: INPE.

- Carvalho, L.A.S.; Martins, V.S.; Lobo, F.L.; Barbosa, C.C.F.; Novo, E.M.L.M..(2017) Investigating empirical models to retrieve the backscattering slope from Landsat 8 Images - The case of Lago Grande Curuai. In Procedings 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.(2017) Aplicação do sensor MSI/Sentinel-2 na estimativa de componentes oticamente ativos em lagos de planície de inundação amazônica. In Procedings of the XVIII Brazilian Symposium on Remote Sensing – SBSR, Santos (p. 3687-3694). São José dos Campos: INPE.

Presentations

- Roy, D.P., Huang, H., Yan, L., Egorov, A., Martins, V.S., Wei, G., Rui, W., Machine learning PLANET high resolution training data for medium resolution land cover & disturbance mapping, online NASA Earth Science Data System Working Group (ESDSWG) Annual Meeting, April 19-21 2022

- Martins, V.S., Roy, D.P.. Recommendations and case studies for an interoperable Machine Learning training data standard, NASA Earth Science Data System Working Group (ESDSWG), Online, December 15 2021.

- Roy, D.P., Huang, H., Martins, V., Boschetti, L., Africa burned area product generation and validation with Landsat-8, Sentinel-2 and commercial Planetscope imagery, 11th Southern African Fire Network (SAFNet) meeting, July 28-29 2021.

- Roy, D.P. and Martins, V.S., Examples and thoughts on machine learning training data reusability and standards for high resolution land surface change mapping, 2021 ESIP Summer meeting, July 22 2021.

- Martins, V.S., Satellite remote sensing and deep learning for land cover mapping: new opportunities, 1st UFR Scientific, Technological and Innovation Initiation Workshop, March 26, 2021.

- Roy, D.P., Huang, H., Li., Z., Martins, V.S., Zhang, H.K., Yan, L., High spatial resolution multispectral reflectance time series using Planetscope and NASA Harmonized Landsat Sentinel-2 data, Planet online colloquium, February 24 2021.

- Roy, D.P., Martins, V.S., Huang, H., Egorov, A., Wei, G., Wang, R., Machine learning PLANET high resolution training data for medium resolution land cover & disturbance mapping, NASA Earth Science Data System Working Group (ESDSWG) Meeting, Online, February 10 – 12 2021.

- Roy, D.P., Huang, H., Li., Z., Martins, V. S., Zhang, H.K., Yan, L., Evaluation and generation of consistent high spatial resolution multispectral reflectance time series using Planetscope and NASA Harmonized Landsat Sentinel-2 data. Invited oral presentation in Commercial Smallsat Data: Research and Applications in Earth Science I session, Fall Meeting, AGU, Online Everywhere, December 1-17 2020.

- Roy, D.P., Huang, H., Martins, V. S., Boschetti, L., Africa Burned Area Product Generation with Landsat-8 and Sentinel-2 and testing the use of high resolution Planetscope imagery, 2020 NASA LCLUC Annual Science Team Meeting, October 19-21 2020.

- Roy, D.P., Huang, H., Yan, L., Li, Z., Zhang, H.K., Martins, V. S., Egorov, A., Analysis Ready Data – looking forward and to high spatial resolution, Summer 2020 Landsat Science Team Webinar, September 2 2020.

- Martins, V.S.. Deep learning for image classification: overview and applications. 2-h lecture/graduate program. Remote Sensing Division, National Institute for Space Research. Organizer: Ieda Del'Arco Sanches, August 21 2020.

- Martins, V. S.;  Kaleita A. L.; Gelder, B. K.; da Silveira, H. L. F.;  and Abe C. A.. Exploring Object-Based CNN Architecture for Land Cover Classification of High-Resolution Remote Sensing Data, poster presentation, Advanced Geospatial Cyberinfrastructure for Deep Learning Posters, Fall Meeting, AGU, San Francisco, December 9-13, 2019.


Previous Appointments 

07/2020 - 02/2022   Post-doctoral appointment, CGCEO, Michigan State University, USA.

08/2017 - 06/2020   Graduate Research\Teaching Assistant, Iowa State University, USA.

02/2017 - 06/2017   Geospatial Analyst, Imagem Geographic Solutions (ESRI distributor), Brazil.

02/2013 - 05/2013   GIS analyst intern, Geomatics lab, Brazilian Agricultural Research Corporation (Embrapa), Brazil.