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Biografia

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.

Publicações Cientificas

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