🛰️ LambdaGEO — Computing and Geotechnology Research Group

Welcome to the official repository of LambdaGEO, a research group dedicated to developing innovative solutions in Geoinformation, Geotechnologies, Spatial Modeling, Applied Computing, and Linked Data. Our mission is to produce scientific knowledge and open-source technologies with significant social and academic impact.

Based at the Federal University of Maranhão (UFMA), the group is affiliated with the Graduate Program in Environmental Science & Technology (PPGC&TAmb).

👨‍🏫 Leadership

Professor Sergio Souza Costa is an Associate Professor of Computer Engineering at UFMA. With a PhD in Applied Computing from the National Institute for Space Research (INPE), his work focuses on Geoinformation, Environmental Data, Web Systems, and LUCC (Land Use and Cover Change) Modeling.

Note to students: I use Notion for detailed lecture materials and mentorship guidelines. You can access my workspace here: profsergiocosta.notion.site

🔬 Research Interests

Our team conducts theoretical and practical research across several domains:

Geoprocessing & GIS (Geographic Information Systems)
Geographic Data Science
Environmental Modeling
Software Engineering
Linked Open Data (Semantic Web)

📦 Key Projects & Software

We actively develop tools to bridge the gap between environmental data and web technologies:

DBAcademic: Connecting public open data from educational institutions.
DBCells: An architecture for publishing modeling data as Linked Data.
QGISSPARQL: Tools for integrating Triple stores with QGIS (Triple2Layer & Layer2Triple).
SiMPoT: Simple Object-triple Mapping for easier data integration.

🌟 Acknowledgments

We are grateful to all the students, collaborators, and partners who contribute to LambdaGEO’s initiatives. Whether through Master’s dissertations or Undergraduate Research (IC), your work drives our progress.

selected publications

GeoNordeste
AVALIAÇÃO DA ACURÁCIA NA CLASSIFICAÇÃO DE USO E COBERTURA DA TERRA: UM ESTUDO DE CASO NA REGIÃO INTERMEDIÁRIA DE SÃO LUÍS COM O MAPBIOMAS

Thomas Victor de Sousa Malheiros Rocha, Sérgio Souza Costa, Luís Fernando Fernando Cirqueira da Silva Correia, and 1 more author

Revista GeoNordeste, Dec 2025

Abs DOI Bib HTML

A classificação de uso e cobertura da terra é essencial para gerenciar recursos naturais. Este estudo analisou a acurácia de classes como Mangue, Apicum, Praia e Duna dentro do agrupamento SA-23-Z, que cobre 72% da região intermediária de São Luís. Os resultados mostraram alta acurácia para Praia e Duna, apesar de limitações em outras classes, indicando que a classificação do MapBiomas apresenta uma ótima acurácia geral para a região.
@article{rocha2025avaliacao, title = {AVALIAÇÃO DA ACURÁCIA NA CLASSIFICAÇÃO DE USO E COBERTURA DA TERRA: UM ESTUDO DE CASO NA REGIÃO INTERMEDIÁRIA DE SÃO LUÍS COM O MAPBIOMAS}, author = {Rocha, Thomas Victor de Sousa Malheiros and Costa, Sérgio Souza and Correia, Luís Fernando Fernando Cirqueira da Silva and Bezerra, Denilson da Silva}, journal = {Revista GeoNordeste}, volume = {36}, number = {2}, year = {2025}, month = dec, publisher = {Universidade Federal de Sergipe}, doi = {10.33360/geonordeste.v36i.21680}, url = {https://periodicos.ufs.br/geonordeste/article/view/21680}, }
RBC
DBCells: An Open and Global Multi-Scale Linked Cells

Sergio Souza Costa, Micael Lopes Silva, Thamyla Maria de Souza Lima, and 1 more author

Revista Brasileira de Cartografia, May 2017

Abs DOI Bib HTML

Land change models require large amounts of data and are difficult to reproduce or reuse. Initiatives to open and link data increase the reproducibility of scientific experiments and data reuse. A core pillar of the linked data concept is the use of Uniform Resource Identifiers (URIs). In this paper, we propose DBCells: an architecture for the publication of a global cellular space where each cell has a URI. This approach allows for the comparison, reproduction, and reuse of models and data.
@article{Costa_Silva_Lima_Moreira_2017, title = {DBCells: An Open and Global Multi-Scale Linked Cells}, author = {Costa, Sergio Souza and Silva, Micael Lopes and Lima, Thamyla Maria de Souza and Moreira, Evaldinolia Gilbertoni}, journal = {Revista Brasileira de Cartografia}, volume = {69}, number = {5}, year = {2017}, month = may, doi = {10.14393/rbcv69n5-44003}, url = {https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44003}, }
AABC
The Amazon COP and the Need for Integration between the Environmental and Climate Agendas

Denilson da Silva Bezerra, Sérgio Souza Costa, and others

Anais da Academia Brasileira de Ciências, Sep 2025

Abs DOI Bib HTML

This letter discusses the 30th United Nations Climate Change Conference (COP30) in Belém, Brazil. It highlights the unique opportunity to unify environmental and climate agendas, focusing on five central points: protection of ecosystems, nature-based solutions (NbS), climate justice for indigenous populations, the importance of blue carbon, and practical goals for reducing emissions.
@article{bezerra2025amazon, title = {The Amazon COP and the Need for Integration between the Environmental and Climate Agendas}, author = {Bezerra, Denilson da Silva and Costa, Sérgio Souza and others}, journal = {Anais da Academia Brasileira de Ciências}, volume = {97}, number = {4}, year = {2025}, month = sep, doi = {10.1590/0001-3765202520250533}, url = {https://doi.org/10.1590/0001-3765202520250533}, publisher = {Academia Brasileira de Ciências}, }

RSP

Population-based seroprevalence of SARS-CoV-2 and the herd immunity threshold in Maranhão

Antônio Augusto Moura da Silva, Lídio Gonçalves Lima-Neto, Conceição de Maria Pedrozo e Silva de Azevedo, and 18 more authors

Revista de Saúde Pública, Dec 2020

Abs DOI Bib HTML

This population-based household survey estimated the seroprevalence of SARS-CoV-2 in the state of Maranhão, Brazil. The study found a seroprevalence of 40.4%, one of the highest reported at the time, suggesting that the local herd immunity threshold might have been approached during that period. The results also highlighted the effectiveness of non-pharmaceutical interventions such as mask-wearing and social distancing.

@article{Silva_Maranhao_2020,
  title = {Population-based seroprevalence of SARS-CoV-2 and the herd immunity threshold in Maranhão},
  author = {Silva, Antônio Augusto Moura da and Lima-Neto, Lídio Gonçalves and Azevedo, Conceição de Maria Pedrozo e Silva de and Costa, Léa Márcia Melo da and Bragança, Maylla Luanna Barbosa Martins and Barros Filho, Allan Kardec Duailibe and Wittlin, Bernardo Bastos and Souza, Bruno Feres de and Oliveira, Bruno Luciano Carneiro Alves de and Carvalho, Carolina Abreu de and Thomaz, Erika Barbara Abreu Fonseca and Simões-Neto, Eudes Alves and Leite Júnior, Jamesson Ferreira and Cosme, Lécia Maria Sousa Santos and Campos, Marcos Adriano Garcia and Queiroz, Rejane Christine de Sousa and Costa, Sérgio Souza and Carvalho, Vitória Abreu de and Simões, Vanda Maria Ferreira and Alves, Maria Teresa Seabra Soares de Brito e and Santos, Alcione Miranda dos},
  journal = {Revista de Saúde Pública},
  volume = {54},
  pages = {131},
  year = {2020},
  month = dec,
  doi = {10.11606/s1518-8787.2020054003271},
  url = {https://doi.org/10.11606/s1518-8787.2020054003271},
}

Landsc Ecol
Dynamical coupling of multiscale land change models

Evaldinolia Moreira, Sérgio Souza Costa, Ana Paula Aguiar, and 2 more authors

Landscape Ecology, Nov 2009

Abs DOI Bib HTML

This paper proposes a software organization for building computational models that support dynamical linking of multiple scales, coupling different types of models such as cell-space and agent-based models. We demonstrate how results can flow in both bottom-up and top-down directions, allowing feedback from local actors to regional scales in the Brazilian Amazonia.
@article{Moreira2009, title = {Dynamical coupling of multiscale land change models}, author = {Moreira, Evaldinolia and Costa, Sérgio Souza and Aguiar, Ana Paula and Câmara, Gilberto and Carneiro, Tiago}, journal = {Landscape Ecology}, volume = {24}, number = {9}, pages = {1183--1194}, year = {2009}, month = nov, doi = {10.1007/s10980-009-9397-x}, url = {https://doi.org/10.1007/s10980-009-9397-x}, }
Ci.Inf.
DBacademic: Conectando os dados abertos das instituições de ensino do Brasil

Sérgio Souza Costa, Mateus Vitor Duarte, Micael Lopes Silva, and 2 more authors

Ciência da Informação, Sep 2020

Abs DOI Bib HTML

Este trabalho apresenta o projeto DBacademic, que visa conectar dados abertos de instituições brasileiras de ensino superior utilizando tecnologias de Web Semântica e Linked Data. O artigo detalha o processo de extração, transformação e publicação de dados, permitindo consultas integradas sobre a produção acadêmica e estrutura institucional no Brasil.
@article{Costa_Duarte_Silva_Oliveira_Guimaraes_2020, title = {DBacademic: Conectando os dados abertos das instituições de ensino do Brasil}, author = {Costa, Sérgio Souza and Duarte, Mateus Vitor and Silva, Micael Lopes and Oliveira, Eddye Candido and Guimarães, José Victor Meireles}, journal = {Ciência da Informação}, volume = {49}, number = {3}, pages = {142--158}, year = {2020}, month = sep, doi = {10.18225/ci.inf.v49i3.5500}, url = {https://revista.ibict.br/ciinf/article/view/5500}, }

IntechOpen

Spatially Explicit Modeling for Impacts of Sea-Level Rise in the Baixada Maranhense, Brazilian Legal Amazon

Denilson da Silva Bezerra, Sérgio Souza Costa, Flávia Rebelo Mochel, and 4 more authors

In Dynamics of the Oceans - Variability, Hydrological Cycles, and Sea Level Change, 2025

DOI Bib HTML

@incollection{Bezerra25,
  author = {Bezerra, Denilson da Silva and Costa, Sérgio Souza and Mochel, Flávia Rebelo and Santos, Fábio Augusto Siqueira dos and Barros, Klinsmann Augusto Lavra and Sousa, Felipe Martins and Bezerra, Janaina Santos},
  title = {Spatially Explicit Modeling for Impacts of Sea-Level Rise in the Baixada Maranhense, Brazilian Legal Amazon},
  booktitle = {Dynamics of the Oceans - Variability, Hydrological Cycles, and Sea Level Change},
  publisher = {IntechOpen},
  address = {London},
  year = {2025},
  editor = {Zhang, Xiaolin and Attada, Raju},
  chapter = {4},
  doi = {10.5772/intechopen.1012210},
  url = {https://doi.org/10.5772/intechopen.1012210},
}