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Biografia

Hugo Costa desempenha funções na Direção-Geral do Território (DGT). Tem um doutoramento em Ciência da Informação Geográfica pela Universidade de Nottingham, no Reino Unido. A sua principal área de pesquisa é o sensoriamento remoto, com ênfase na classificação de imagens para mapeamento do uso do solo, juntamente com modelagem ecológica. É autor principal de mais de 10 publicações revisadas por pares, incluindo artigos em revistas científicas, atas de conferências internacionais e uma seção de livro.

Publicações Cientificas

Lateef, L. O., Costa, H., & Cabral, P. (2025)

Improved integrated framework for flooded crop damage and recovery assessment: A multi-source earth observation and participatory mapping in Hadejia, Nigeria. Journal of Environmental Management, 384, 1-20. Article 125542. https://doi.org/10.1016/j.jenvman.2025.125542

Fonte, C. C., Duarte, D., Jesus, I., Costa, H., Benevides, P., Moreira, F., & Caetano, M. (2024)

Accuracy Assessment and Comparison of National, European and Global Land Use Land Cover Maps at the National Scale: Case Study: Portugal. Remote Sensing, 16(9), 1-34. Article 1504. https://doi.org/10.3390/rs16091504

Moraes, D., Barbosa, B., Costa, H., Moreira, F. D., Benevides, P., Caetano, M., & Campagnolo, M. (2024)

Continuous forest loss monitoring in a dynamic landscape of Central Portugal with Sentinel-2 data. International Journal of Applied Earth Observation and Geoinformation, 130, 1-12. Article 103913. https://doi.org/10.1016/j.jag.2024.103913

Duarte, D., Fonte, C., Costa, H., & Caetano, M. (2023)

Thematic Comparison between ESA WorldCover 2020 Land Cover Product and a National Land Use Land Cover Map. Land, 12(2), 1-16. [490]. https://doi.org/10.3390/land12020490

Alves, A.; Moraes, D.; Barbosa, B.; Costa, H.; Moreira, F.; Benevides, P.; Caetano, M. and Campagnolo, M. (2023)

Exploring Spectral Data, Change Detection Information and Trajectories for Land Cover Monitoring over a Fire-Prone Area of Portugal. In Proceedings of the 9th  International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-649-1; ISSN 2184-500X, SciTePress, pages 87-97. DOI: 10.5220/0011993100003473

Navarro, A., Castro, T., Sá, J., Catalão, J., Benevides, P., Costa, H., & Caetano, M. (2023)

The potential of SAR data for detecting deforestation in mountainous and sparse forested areas: The case of northern Portugal. In F. Bovenga, C. Notarnicola, N. Pierdicca, & E. Santi (Eds.), Proceedings of SPIE: Microwave Remote Sensing: Data Processing and Applications II (Vol. 12732, pp. 1-12). [1273208] SPIE - The International Society for Optics and Photonics. https://doi.org/10.1117/12.2678995

Barbosa, B., Rocha, J., Costa, H., & Caetano, M. (2022)

Automatic detection of vegetation cover changes in urban-rural interface areas. MethodsX, 9, 1-7. [101643]. https://doi.org/10.1016/j.mex.2022.101643

Barbosa, B., Rocha, J., Costa, H., & Caetano, M. (2022)

Uncovering Vegetation Changes in the Urban–Rural Interface through Semi-Automatic Methods. Applied Sciences, 12(5), 1-14. [2294]. https://doi.org/10.3390/app12052294

Costa, H., Benevides, P., Moreira, F. D., Moraes, D., & Caetano, M. (2022)

Spatially Stratified and Multi-Stage Approach for National Land Cover Mapping Based on Sentinel-2 Data and Expert Knowledge. Remote Sensing, 14(8), 1-21. [1865]. https://doi.org/10.3390/rs14081865

Benevides, P., Costa, H., Moreira, F. D., & Caetano, M. (2022)

Mapping annual crops in Portugal with Sentinel-2 data. In C. M. U. Neale, & A. Maltese (Eds.), Proceedings of SPIE.Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV (Vol. 12262). SPIE. Society of Photo-Optical Instrumentation Engineers. https://doi.org/10.1117/12.2636125

Costa, H., Benevides, P., Moreira, F. D., & Caetano, M. (2022)

Detection and classification of changes in agriculture, forest, and shrublands for land cover map updating in Portugal. In C. M. U. Neale, & A. Maltese (Eds.), Proceedings of SPIE.Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV (Vol. 12262, pp. 19). SPIE. Society of Photo-Optical Instrumentation Engineers. https://doi.org/10.1117/12.2636127.

Molisse, G., Emin, D., & Costa, H. (2022)

Implementation of a Sentinel-2 Based Exploratory Workflow for the Estimation of Above Ground Biomass. In 2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2022 - Proceedings (pp. 74-77). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/M2GARSS52314.2022.9839897

Moraes, D., Benevides, P., Costa, H., Moreira, F. D., & Caetano, M. (2022)

Exploring Different Levels of Class Nomenclature in Random Forest Classification of Sentinel-2 Data. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 2279-2282). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS46834.2022.9883798

Chandler, C. J., van der Heijden, G. M. F., Boyd, D. S., Cutler, M. E. J., Costa, H., Nilus, R., & Foody, G. M. (2021)

Remote sensing liana infestation in an aseasonal tropical forest: addressing mismatch in spatial units of analyses. [Advanced online publication on 13 february 2021]. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.197

Sumbul, G., De Wall, A., Kreuziger, T., Marcelino, F., Costa, H., Benevides, P., Caetano, M., Demir, B., & Markl, V. (2021)

BigEarthNet-MM: A Large-Scale, Multimodal, Multilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets]. IEEE Geoscience and Remote Sensing Magazine, 9(3), 174-180. https://doi.org/10.1109/MGRS.2021.3089174

Benevides, P. J., Silva, N., Costa, H., Moreira, F. D., Moraes, D., Castelli, M., & Caetano, M. (2021)

Land cover mapping at national scale with Sentinel-2 and LUCAS: a case study in Portugal. In C. M. U. Neale, & A. Maltese (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII (Vol. 11856). [1185606] (Proceedings of SPIE). SPIE-International Society for Optical Engineering. https://doi.org/10.1117/12.2598789

Benevides, P., Costa, H., Moreira, F. D., Moraes, D., & Caetano, M. (2021)

Annual Crop Classification Experiments in Portugal Using Sentinel-2. In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 5838-5841). IEEE. https://doi.org/10.1109/IGARSS47720.2021.9555009

Costa, H., Machado, I., Moreira, F. D., Benevides, P., Moraes, D., & Caetano, M. (2021)

Exploring the Potential of Sentinel-2 Data for Tree Crown Mapping in Oak Agro-Forestry Systems. In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 5807-5810). IEEE. https://doi.org/10.1109/IGARSS47720.2021.9553780

Los, H., Mendes, G. S., Cordeiro, D., Grosso, N., Costa, H., Benevides, P., & Caetano, M. (2021)

Evaluation of Xgboost and Lgbm Performance in Tree Species Classification with Sentinel-2 Data. In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 5803-5806). IEEE. https://doi.org/10.1109/IGARSS47720.2021.9553031

Moraes, D., Benevides, P., Costa, H., Moreira, F. D., & Caetano, M. (2021)

Influence of Sample Size in Land Cover Classification Accuracy Using Random Forest and Sentinel-2 Data in Portugal. In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium: Proceedings (pp. 4232-4235). IEEE. https://doi.org/10.1109/IGARSS47720.2021.9553924

Moraes, D., Benevides, P., Costa, H., Moreira, F., & Caetano, M. (2021)

Assessment of the introduction of spatial stratification and manual training in automatic supervised image classification. In K. Schulz, U. Michel, & K. G. Nikolakopoulos (Eds.), Earth Resources and Environmental Remote Sensing/GIS Applications XII (Vol. 11863). [1186311] (PROCEEDINGS OF SPIE). SPIE-International Society for Optical Engineering. https://doi.org/10.1117/12.2599740

Moraes, D., Benevides, P., Moreira, F. D., Costa, H., & Caetano, M. (2021)

Exploring the use of classification uncertainty to improve classification accuracy. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B3-2021, XXIV ISPRS Congress (2021 edition), (pp. 81-86). https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-81-2021

Costa, H., Benevides, P., Marcelino, F., & Caetano, M. (2020)

Introducing Automatic Satellite Image Processing Into Land Cover Mapping by Photo-Interpretation of Airborne Data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(3/W11), 29-34. https://doi.org/10.5194/isprs-archives-XLII-3-W11-29-2020

Costa, H., Giraldo, A., & Caetano, M. (2020)

Exploring BFAST to detect forest changes in Portugal. In L. Bruzzone, F. Bovolo, & E. Santi (Eds.), Image and Signal Processing for Remote Sensing XXVI [1153308] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11533). SPIE-International Society for Optical Engineering. https://doi.org/10.1117/12.2566669

Hernandez, I., Benevides, P., Costa, H., & Caetano, M. (2020)

Exploring sentinel-2 for land cover and crop mapping in portugal. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 43(B3), 83-89. https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-83-2020