Zuleide Alves Ferreira

@ifto.edu.br

Teacher/Researcher/Geomatics
Instituto Federal de Educação, Ciência e Tecnologia do Tocantinst

Zuleide Alves Ferreira


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https://researchid.co/d20190030
Zuleide Ferreira is a teacher at the Federal Institute of Education, Science and Technology of Tocantins. She is also a PhD candidate in Information Management (Geographic Information System) at Nova IMS (Lisbon-PT).

RESEARCH, TEACHING, or OTHER INTERESTS

Earth and Planetary Sciences, Multidisciplinary
4

Scopus Publications

87

Scholar Citations

4

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques
    Zuleide Ferreira, Bruna Almeida, Ana Cristina Costa, Manoel do Couto Fernandes, Pedro Cabral
    Geomatics Natural Hazards and Risk, 2025
  • Analysing the spatial context of the altimetric error pattern of a digital elevation model using multiscale geographically weighted regression
    Zuleide Ferreira, Ana Cristina Costa, Pedro Cabral
    European Journal of Remote Sensing, 2023
  • A Comparative Study about Vertical Accuracy of Four Freely Available Digital Elevation Models: A Case Study in the Balsas River Watershed, Brazil
    Zuleide Alves Ferreira, Pedro Cabral
    ISPRS International Journal of Geo Information, 2022
    Digital elevation models (DEMs) provide important support to research since these data are freely available for almost all areas of the terrestrial surface. Thus, it is important to assess their accuracy for correct applicability regarding the correct use scale. Therefore, this paper aims to assess the vertical accuracy of ALOS PALSAR, GMTED2010, SRTM, and Topodata DEMs according to the Brazilian Cartographic Accuracy Standard through the official high accuracy network data of the Brazilian Geodetic System. This study also seeks to investigate whether the altimetric error is correlated with altitude and slope in the study area. Our results showed that the four assessed DEMs in this study demonstrated satisfactory accuracy to provide mappings in scales up to 1:100,000 because more than 90% of the extracted points presented altimetric errors of less than 25 m when compared with the reference points from the high accuracy network of the Brazilian Geodetic System. Regarding the altimetric error, we could not find a significant correlation with altitude or slope in the study area. In this sense, future DEMs assessments should be based on the investigation of other factors that may influence altimetric error.
  • Vertical Accuracy Assessment of ALOS PALSAR, GMTED2010, SRTM and Topodata Digital Elevation Models
    International Conference on Geographical Information Systems Theory Applications and Management Gistam Proceedings, 2021

RECENT SCHOLAR PUBLICATIONS

  • Insights into landslide susceptibility
    Z Ferreira, B Almeida, AC Costa, M do Couto Fernandes, P Cabral
    2025
  • Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques
    Z Ferreira, B Almeida, AC Costa, M do Couto Fernandes, P Cabral
    Geomatics, Natural Hazards and Risk 16 (1), 2471019 , 2025
    2025
    Citations: 31
  • Predicting Landslides Through Machine Learning Techniques: A Systematic Literature Review
    Z Ferreira, P Cabral
    Anais do VI Congresso da Sociedade de Análise de Risco Latino Americana … , 2025
    2025
  • Analysing the spatial context of the altimetric error pattern of a digital elevation model using multiscale geographically weighted regression
    Z Ferreira, AC Costa, P Cabral
    European Journal of Remote Sensing 56 (1), 2260092 , 2023
    2023
    Citations: 10
  • A Comparative Study about Vertical Accuracy of Four Freely Available Digital Elevation Models
    ZA Ferreira, P Cabral
    2022
  • A Comparative study about vertical accuracy of four freely available digital elevation models: a case study in the Balsas river watershed, Brazil
    ZA Ferreira, P Cabral
    ISPRS International Journal of Geo-Information 11 (2), 106 , 2022
    2022
    Citations: 41
  • Best Student Paper Award Certificate
    ZA Ferreira, P Cabral
    Proceedings of the 7th International Conference on Geographical Information … , 2021
    2021
  • Análise comparativa entre métodos de determinação de desníveis: Nivelamento geométrico e posicionamento em tempo real (RTK)
    ZA Ferreira, JP Rabêlo, LEO Borges, MGBC Gomes, GMC de Castro
    Revista Sítio Novo 3 (1), 75-82 , 2019
    2019
    Citations: 1
  • Diagnóstico físico-conservacionista do ambiente cárstico da bacia do córrego Cana-brava, Aurora do Tocantins (TO, Brasil)
    ZA FERREIRA, F MORAIS
    Caderno de Geografia 27 (50), 244-273 , 2017
    2017
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • A Comparative study about vertical accuracy of four freely available digital elevation models: a case study in the Balsas river watershed, Brazil
    ZA Ferreira, P Cabral
    ISPRS International Journal of Geo-Information 11 (2), 106 , 2022
    2022
    Citations: 41
  • Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques
    Z Ferreira, B Almeida, AC Costa, M do Couto Fernandes, P Cabral
    Geomatics, Natural Hazards and Risk 16 (1), 2471019 , 2025
    2025
    Citations: 31
  • Analysing the spatial context of the altimetric error pattern of a digital elevation model using multiscale geographically weighted regression
    Z Ferreira, AC Costa, P Cabral
    European Journal of Remote Sensing 56 (1), 2260092 , 2023
    2023
    Citations: 10
  • Diagnóstico físico-conservacionista do ambiente cárstico da bacia do córrego Cana-brava, Aurora do Tocantins (TO, Brasil)
    ZA FERREIRA, F MORAIS
    Caderno de Geografia 27 (50), 244-273 , 2017
    2017
    Citations: 4
  • Análise comparativa entre métodos de determinação de desníveis: Nivelamento geométrico e posicionamento em tempo real (RTK)
    ZA Ferreira, JP Rabêlo, LEO Borges, MGBC Gomes, GMC de Castro
    Revista Sítio Novo 3 (1), 75-82 , 2019
    2019
    Citations: 1
  • Insights into landslide susceptibility
    Z Ferreira, B Almeida, AC Costa, M do Couto Fernandes, P Cabral
    2025
  • Predicting Landslides Through Machine Learning Techniques: A Systematic Literature Review
    Z Ferreira, P Cabral
    Anais do VI Congresso da Sociedade de Análise de Risco Latino Americana … , 2025
    2025
  • A Comparative Study about Vertical Accuracy of Four Freely Available Digital Elevation Models
    ZA Ferreira, P Cabral
    2022
  • Best Student Paper Award Certificate
    ZA Ferreira, P Cabral
    Proceedings of the 7th International Conference on Geographical Information … , 2021
    2021