Hugo Costa

  • Tuesday, 14 May 2019 15:31



Hugo Costa, Invited Assistant,
Ph.D in Geographical Information Science (University of Nottingham)


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Hugo Costa is Invited Assistant at NOVA Information Management School (NOVA IMS) and works at Direção-Geral do Território (DGT). He holds a Ph.D. degree in Geographical Information Science (University of Nottingham, UK). His main research area is remote sensing, in particular image classification for land cover mapping, along with ecological modelling. He is the first author of >10 peer-reviewed publications, including articles in scientific journals, international conference proceedings, and one book section.


Journal Article

  • Berhane, T., Costa, H., Lane, C., Anenkhonov, O., Chepinoga, V., Autrey, B., 2019. The influence of region of interest heterogeneity on classification accuracy in wetland Systems. Remote Sensing 11(5), 551.
  • Costa, H., Almeida, D., Vala, F., Marcelino, F., Caetano, M., 2018. Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics. ISPRS International Journal of Geo-Information 7(4), 157.
  • Costa, H., Foody, G.M., Boyd, D.S., 2018. Supervised methods of image segmentation accuracy assessment in land cover mapping. Remote Sensing of Environment 205, 338-351.
  • Costa, H., Foody, G.M., Boyd, D.S., 2017. Using mixed objects in the training of object-based image classifications. Remote Sensing of Environment 190, 188-197.
  • Costa, H., Foody, G.M., Jiménez, S., Silva, L., 2015. Impacts of species mis-identification on species distribution modelling with presence-only data. ISPRS International Journal of Geo-Information 4(4), 2496-2518.
  • Costa, H., Ponte, N.B., Azevedo, E.B., Gil, A., 2015. Fuzzy set theory for predicting the potential distribution and cost-effective monitoring of invasive species. Ecological Modelling 316, 122-132.
  • Costa, H., Foody, G.M., Boyd, D.S., 2015. Integrating user needs on misclassification error sensitivity into image segmentation quality assessment. Photogrammetric Engineering & Remote Sensing 81(6), 451-459.
  • Martins, J., Costa, H., Moreira, O., Azevedo, E.B., Moura, M. and Silva, L., 2015. Distribution and conservation status of the endangered Azorean tree Picconia azorica. International Journal of Biological Sciences and Applications 2(1), 1–9.
  • Moreira, O., Costa, H., Martins, J., Azevedo, E.B., Moura, M., Silva, L., 2014. Present and potential distribution of the endangered tree Prunus lusitanica subsp. azorica: Implications in conservation. International Journal of Biological Sciences and Applications 1(5), 190–200.
  • Costa, H., Carrão, H., Bação, F., Caetano, M., 2014. Combining per-pixel and object based classifications for mapping land cover over large areas. International Journal of Remote Sensing 35(2), 738-753.
  • Costa, H., Medeiro, V., Azevedo, E., Silva, L., 2013. Evaluating ecological-niche factor analysis as a modelling tool for environmental weed management in island systems. Weed Research 53(3), 221-230.
  • Costa, H., Aranda, S.C., Lourenço, P., Medeiro, V., Azevedo, E., Silva, L., 2012. Predicting successful replacement of forest invaders by native species using species distribution models: The case of Pittosporum undulatum and Morella faya in the Azores. Forest Ecology and Management 279, 90-96.

Book Section

  • Silva, L.D., Costa, H., Azevedo, E..B, Medeiros, V., Alves, M., Elias, E.B., Silva, L., 2017. “Modelling native and invasive woody species: a comparison of ENFA and MaxEnt applied to the Azorean forest” in A. Pinto and D. Zilberman (Eds.), Modeling, Dynamics, Optimization and Bioeconomics II. Springer Proceedings in Mathematics & Statistics. Springer.
  • Costa, H., Bettencourt, M.J., Silva, C.M.N., Teodósio, J., Gil, A., Silva, L., 2013. “Invasive alien plants in the Azorean protected areas: Invasion status and mitigation actions”, in L.C. Foxcroft, D.M. Richardson, P. Pyšek and P. Genovesi (eds.), Alien Plant Invasions in Protected Areas: Patterns, Problems and Challenges. Dordrecht : Springer, 375-397.

Conference Proceeding

  • Maianti, P, Artés Vivancos, T., Guillaume, B., Miranda, A. I., Monteiro, A., Gama, C., Houston Durrant, T., Libertà, G., Boca, R., Branco, A., de Rigo, D., Ferrari, D., Lana, F., Costa, H., San-Miguel-Ayanz, J. (2019) Integration of the emissions and smoke dispersion models in the European Forest Fire Information System. In Advances in forest fire research 2018, Viegas, D. X. (ed.), 10-16 Novembro, 2019, Coimbra, Portugal (Coimbra: Imprensa da Universidade de Coimbra), pp 1043-1052.
  • Costa, H., Foody, G. M., Boyd, D. S. (2016). Using pure and mixed objects in the training of object-based image classification. GEOBIA 2016 : Solutions and Synergie, 14-16 September 2016, University of Twente Faculty of Geo-Information and Earth Observation (ITC).
  • Costa, H., Foody, G. M., Boyd, D. S. (2014). Integrating thematic information into the assessment of image segmentation analyses for Object-Based land cover classification. South-Eastern European Journal of Earth Observation and Geomatics 3(2S), pp. 155–159.
  • Costa, H., Carrão, H., Bação, F., Caetano, M., 2009, Land cover classification in Portugal with multitemporal AWiFS images: a comparative study. In Remote Sensing for a Changing Europe-Proceedings of the 28th Symposium of the European Association of Remote Sensing Laboratories, D. Maktav (Ed.), 2-5 Junho 2008, Istambul, Turquia (Amesterdão: IOS Press), pp. 356-363.
  • Costa, H., Caetano, M., 2009, Classificação de imagens AWiFS com uma abordagem combinada pixel/objecto. In Anais do 14º Simpósio Brasileiro de Sensoriamento Remoto, J. Epiphanio e L. Galvão (Eds.), 25-30 Abril 2009, Natal, Brasil (São José dos Campos: Instituto Nacional de Pesquisas Espaciais), pp. 7781-7788.
  • Costa, H., Araújo, A., Carrão, H., Caetano, M., 2008, Influência das características técnicas das imagens de satélite na produção de cartografia de ocupação do solo: estudo baseado em imagens MERIS e AWiFS. In Actas do X Encontro de Utilizadores de Informação Geográfica, J. Rocha (Ed.), 14-16 Maio 2008, Oeiras, Portugal (Guimarães: Universidade do Minho), pp. 325-341.



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