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César de Oliveira Ferreira Silva

PhD

São Paulo, Brasil

cesar.of.silva@unesp.br

Skills

Remote Sensing and GIS

Hydrological Modelling

Storytelling and Data Visualization

R

80%

Geographic Information Systems (GIS)

75%

Google Earth Engine

75%

PostgreSQL/PostGIS

75%

Python

75%

JavaScript

65%

Latex & Markdown

60%

HTML

50%

Shell Linux

30%

AWS - Amazon RDS

30%

C++

20%

Languages

Portuguese

Spanish

English

R Packages

  • agriwater 1.0.1 (CRAN)
  • agriwater 1.0.2 (GitHub)

    • Books

  • Tutorial do pacote Agriwater para modelagem espacial da evapotranspiração no software R.

    • Media

  • Climatempo
  • Rádio Unesp 1
  • Rádio Unesp 2
  • IPT

    • Awards

  • Best Article in INOVAGRI 2019
  • Master Degree

    • Teaching

  • Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP). Spatial modeling of evapotranspiration with the R package "agriwater" - 2020
  • Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP). Large-scale Image Processing and Spatial Modeling using the Google Earth Engine Platform - 2019
  • Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP). Hydro-IDB: tools for the management and planning of water resources in Latin America and the Caribbean - 2017


    • Work Experience

    Data Scientist - R&D Research & Data Science / StormGeo, SP, Brazil / Bergen, Norway
    December 2021 - Current
  • Specialist in vegetation management by using satellite data and statistical learning.
  • Main project: GridEyeS with HVL, eSmart, European Space Agency (ESA) and ENTSO-e
  • Tools: AWS RDS, R, Python/Jupyter.
    • Researcher I / Agroicone, SP, Brazil
    March 2020 - December 2021
  • Specialist in Information Systems, Database and Computational Optimization. Administrator of cloud computing, database and Geographic Information Systems environments.
  • Geographical data modeling, creation and maintenance of geographical and tabular databases (using PostrgreSQL/PostGIS in AWS environment).
  • Tools: AWS RDS, PostgreSQL, R, Python/Jupyter, Google Earth Engine.
    • Research Assistant III / Agroicone, SP, Brazil
    April 2019 - February 2020
  • Geographical data modeling, creation and maintenance of geographical and tabular databases (using PostrgreSQL/PostGIS in AWS environment).
  • Environmental compliance assessment with RenovaBIO and Bonsucro standards.
  • Large scale land use classification project management with Google Earth Engine and Convolutional Neural Networks.
  • Tools: PostgreSQL, R, Python/Jupyter, Google Earth Engine, QGIS, ArcGIS.
    • Data Engineer / SIAA, SP, Brazil
    October 2018 - April 2019
  • Implementation of artificial neural networks for oceanographic applications.
  • Maintenance of large scale hydrodynamic models on Linux servers.
  • Environmental consulting on projects involving water resources management.
  • Tools: R, Python, keras, TensorFlow, pyTorch, QGIS, Linux, CentOS, C++, AWS, JavaScript.
    • Geoprocessing Trainee / Agroicone, SP, Brazil
    September 2016 - June 2017
  • Spatial data modeling, creation and maintenance of geographic databases (using PostrgreSQL/PostGIS) and spatial data manipulation through geographic information systems (GIS).
  • WEBGIS platform development.
  • Tools: PostgreSQL, ArcGIS, QGIS, i3geo, Leaflet.

    • Education

    Universidade Estadual de Campinas (UNICAMP)
    March 2021 - April 2024

    PhD in Agricultural Engineering

  • Thesis title: "Data fusion for improving the modeling of yield and management zones in specialty coffees" (In English)
    • Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP)
    August 2017 - September 2019

    Master Degree in Agronomy - Irrigation and Drainage

  • Dissertation title: "Modelagem espacial da recarga das águas subterrâneas sob diferentes usos e coberturas da terra" (In Portuguese) - "Spatial modeling of groundwater recharge under different land uses and land cover"
    • Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP)
    2012 - 2017

    Environmental Engineering

  • Monograph Title: "Avaliação de Impactos Ambientais de uma Transposição Fluvial Aplicada ao Cálculo da Compensação Ambiental" (In Portuguese) - "Assessment of Environmental Impacts of a Fluvial Transposition Applied to the Calculation of Environmental Compensation"

    • Publications

    Papers
    1. Silva, C. O. F., Teixeira, A. H. C., Manzione, R. L. agriwater: An R package for spatial modelling of energy balance and actual evapotranspiration using satellite images and agrometeorological data. Environmental Modelling & Software, v. 120, p. 104497, http://dx.doi.org/10.1016/j.envsoft.2019.104497, 2019.
    2. Silva, C. O. F., Manzione, R. L., Oliveira, S. R. M. Exploring 20-year applications of geostatistics in precision agriculture in Brazil: what?s next? Precision Agriculture, v. 6, p. 1-34, https://doi.org/10.1007/s11119-023-10041-9, 2023.
    3. Silva, C. O. F., Grego, C. R., Manzione, R. L., Oliveira, S. R. M. Improving Coffee Yield Interpolation in the Presence of Outliers Using Multivariate Geostatistics and Satellite Data. Agriengineering, v. 6, p. 81-94, https://doi.org/10.3390/agriengineering6010006, 2024.
    4. Silva, C. O. F., Manzione, R. L., Caldas, M. M. Net water flux and land use shifts across the Brazilian Cerrado between 2000 and 2019. Regional Environmental Change, v. 23, p. 151, http://dx.doi.org/10.1007/s10113-023-02127-x, 2023.
    5. Silva, C. O. F., Grego, C. R., Manzione, R. L., Oliveira, S. R. M., Rodrigues, G. C., Rodrigues, C. A. G., Speranza, E. A., Luchiari, A., Koenigkan, L. V. Summarizing soil chemical variables into homogeneous management zones - case study in a specialty coffee crop. Smart Agricultural Technology, v. 7, p. 100418, http://dx.doi.org/10.1016/j.atech.2024.100418, 2024.
    6. Teixeira, A., Leivas, J., Takemura, C., Bayma, G., Garçon, E., Silva, C. O. F. Remote sensing environmental indicators for monitoring spatial and temporal dynamics of weather and vegetation conditions: applications for Brazilian biomes. Environmental Monitoring and Assessment, v. 195, p. 944, https://doi.org/10.1007/s10661-023-11560-8, 2023.
    7. Silva, C. O. F., Matulovic, M., Manzione, R. L. New dilemmas, old problems: advances in data analysis and its geoethical implications in groundwater management. SN Applied Sciences, v. 3, p. 607, http://dx.doi.org/10.1007/s42452-021-04600-w, 2021.
    8. Manzione, R. L., Silva, C. O. F., Castrignanò, A. A combined geostatistical approach of data fusion and stochastic simulation for probabilistic assessment of shallow water table level risk. Science of Total Environment, v. 765, p. 142743, https://doi.org/10.1016/j.scitotenv.2020.142743, 2021.
    9. Manzione, R. L., Silva, C. O. F. Expansion of biofuel cash-crops and its geoethical implications in the scope of groundwater governance. Sustainable Water Resources Management, v. 8, p. 34, https://doi.org/10.1007/s40899-022-00627-y, 2021.
    10. Magnoni, P. H. J., Silva, C. O. F., Manzione, R. L. Groundwater recharge and water table depth levels modelling using remotely sensed data and cloud-computing. Sustainable Water Resources Management, v. 6 , p.113, https://doi.org/10.1007/s40899-020-00469-6, 2020.
    11. Teixeira, A. H. C., Pacheco, E., Silva, C. O. F., Dompieri, M., Leivas, J. SAFER applications for water productivity assessments with aerial camera onboard a remotely piloted aircraft (RPA). A rainfed corn study in Northeast Brazil. Remote Sensing Applications: Society and Environment, v. 22, p. 100514, http://dx.doi.org/10.1016/j.rsase.2021.100514, 2021.
    12. Silva, C. O. F., Manzione, R. L., Albuquerque Filho, J. L. Combining remotely sensed actual evapotranspiration and GIS analysis for groundwater level modeling. Environmental Earth Sciences, v. 78, p. 462-477, http://dx.doi.org/10.1007/s12665-019-8467-x, 2019.
    13. Silva, C. O. F., Manzione, R. L., Albuquerque Filho, J. L. Large-Scale Spatial Modeling of Crop Coefficient and Biomass Production in Agroecosystems in Southeast Brazil. Horticulturae, v. 4, p. 44-64, http://dx.doi.org/10.3390/horticulturae4040044, 2018.
    14. Silva, C. O. F., Rodrigues, C. A. G., Grego, C. R., Quartaroli, C. F. Influência de atributos físicos, químicos e hídricos de solos e área foliar nos níveis de degradação de pastagens cultivadas. Fórum Ambiental da Alta Paulista, v. 20, p. 72-87, http://dx.doi.org/10.17271/1980082720220244108, 2024.
    15. Silva, C. O. F., Magnoni, P. H. J., Manzione, R. L. Sensoriamento remoto orbital para modelagem da evapotranspiração: síntese teórica e aplicações em computação na nuvem. Brazilian Journal of Biosystems Engineering, v. 15, n. 3, p. 425-468, http://dx.doi.org/10.18011/bioeng2021v15n3p425-468, 2021.
    16. Silva, C. O. F., Putti, F. F., Manzione, R. L. Panorama da evolução da agricultura irrigada no Sudeste do Brasil entre 2006 e 2017. IRRIGA, "Edição Especial – Sudeste", v. 1, n. 3, p. 446-457, http://dx.doi.org/10.15809/irriga.2021v1n3p446-457, 2021.
    17. Silva, C. O. F. Classificação supervisionada de área irrigada utilizando índices espectrais de imagens Landsat-8 com Google Earth Engine. IRRIGA, v. 25, n. 1, p. 160-169, https://doi.org/10.15809/irriga.2020v25n1p160-169, 2020.
    18. Manzione, R. L., Silva, C. O. F., Paes, C. O. Modelagem da favorabilidade à recarga das águas subterrâneas pelo paradigma da lógica difusa. Águas Subterrâneas, v. 35, n. 2, e-30030, https://doi.org/10.14295/ras.v35i2.30030, 2021.
    19. Cunha, A. C., Putti, F. F., Silva, C. O. F. Evapotranspiração de referência ao longo do estado de Minas Gerais como guia para gestão regionalizada da irrigação. IRRIGA, "Edição Especial – Sudeste", v. 1, n. 3, p. 458-467, http://dx.doi.org/10.15809/irriga.2021v1n3p458-467, 2021.
    20. Magnoni, P. H. J., Silva, C. O. F., Manzione, R. L. Sensoriamento remoto aplicado ao manejo da irrigação em áreas com escassez de dados: estudo de caso em pivô central em Itatinga-SP. IRRIGA, "Edição Especial – Sudeste", v. 1, n. 3, p. 585-598, http://dx.doi.org/10.15809/irriga.2021v1n3p585-598, 2021.
    21. Silva, C. O. F., Teixeira, A. H. C., Manzione, R. L. Bayesian Regularized Neural Networks Approach and Uncertainty Analysis for Reference Evapotranspiration Modeling on Semiarid Agroecosystems. Brazilian Journal of Biosystems Engineering, v. 14, n. 1, p. 73-84, http://dx.doi.org/10.18011/bioeng2020v14n1p73-84, 2020.
    22. Silva, C. O. F., Manzione, R. L., Albuquerque Filho, J. L. Comparison of SAFER and METRIC-Based Actual Evapotranspiration Models in a Subtropical Area of Brazil. Irriga, v. 1, p. 48-55, http://dx.doi.org/10.15809/irriga.2019v1n1p48-55, 2019.
    23. Silva, C. O. F., Manzione, R. L. Revisitando a regionalização de vazões na região do Médio Paranapanema no estado de São Paulo: utilização de curvas de permanência em microbacias hidrográficas. Revista do Instituto Geológico, v. 41, n. 2, p. 1-13, https://doi.org/10.33958/revig.v41i2.678, 2020.
    24. Silva, C. O. F., Manzione, R. L. Dinâmica do uso e ocupação da terra na área de proteção ambiental -cuesta- - perímetro Botucatu, SP entre 2000 e 2016. GEOUSP: espaço e tempo, v. 23, p. 198-214, http://dx.doi.org/10.11606/issn.2179-0892.geousp.2019.147582, 2019.
    25. Silva, C. O. F., Medeiros, G. A. Cálculo da compensação ambiental de transposição entre bacias utilizando análise de paisagem: estudo de caso na Bacia do rio Jundiaí Mirim. Brazilian Journal of Development, v. 6, n. 8, p. 60848-60868, https://doi.org/10.34117/bjdv6n8-486, 2020.
    26. Silva, C. O. F., Manzione, R. L., Teixeira, A. H. C. Modelagem espacial da evapotranspiração e produtividade hídrica na porção paulista do afloramento do aquífero Guarani entre 2013 e 2015. Holos Environment (Online), v. 18, p. 126-140, http://dx.doi.org/10.14295/holos.v18i2.12266, 2018.
    27. Silva, C. O. F., Goveia, D. Avaliação da qualidade ambiental de corpos hídricos urbanos utilizando análise multivariada. INTERAÇÕES, v. 20, p. 947-958, https://doi.org/10.20435/inter.v0i0.1832, 2019.
    28. Silva, C. O. F., Medeiros, G. A. Avaliação ambiental e morfométrica da bacia do rio Jundiaí-Mirim: diagnósticos e subsídios para gestão ambiental. Boletim Campineiro de Geografia, v. 7, n.2, p. 441-454, https://doi.org/10.54446/bcg.v7i2.343, 2017.
    29. Pollo, R. A., Silva, C. O. F., Cardoso, L. G., Lessa, L. G. F. Fatores de perturbação identificados em Área de Proteção Ambiental Corumbataí-Botucatu-Tejupá, Perímetro Botucatu, Estado de São Paulo. RA'E GA (UFPR), v. 46, p. 204-214, https://doi.org/10.5380/raega.v46i1.59160, 2019.
    Book Chapters
    1. Silva, C. O. F. The challenge of model validation and its (hydrogeo)ethical implications for water security. O. Bozorg-Haddad; B. Zolghadr-Asli (Org.). Computational Intelligence for Water & Environmental Sciences, Chapter 22, https://doi.org/10.1007/978-981-19-2519-1, 2021.
    2. Silva, C. O. F., Manzione, R. L. Public geospatial data for groundwater governance: The Brazilian case. In: M. Abrunhosa; A. Chambel; S. Peppoloni; H. I. Chaminé. (Org.). Advances in Geoethics and Groundwater Management: theory and practice for a sustainable development (Proceedings of the 1st Congress on Geoethics and Groundwater Management (GEOETH&GWM'20), Porto - Portugal 2020), p. 51-54, http://dx.doi.org/10.1007/978-3-030-59320-9_12, 2020.
    3. Silva, C. O. F., Matulovic, M., Manzione, R. L. The geoethics of using geospatial Big Data in water governance. In: M. Abrunhosa; A. Chambel; S. Peppoloni; H. I. Chaminé. (Org.). Advances in Geoethics and Groundwater Management: theory and practice for a sustainable development(Proceedings of the 1st Congress on Geoethics and Groundwater Management (GEOETH&GWM'20), Porto - Portugal 2020), p. 447-450, http://dx.doi.org/10.1007/978-3-030-59320-9_94, 2020.