Publicações científicas SMOS - pormenor de pessoa a ler documento técnico, ©SarkisSeysian

Publicações científicas

O SMOS assenta em trabalho científico relacionado com a análise e classificação de imagens de satélite. Conheça o trabalho científico desenvolvido pela DGT no âmbito do desenvolvimento do SMOS. Destacam-se as principais publicações com revisão científica.

 

  • Moraes, D.; Benevides, P.; Costa, H.; Moreira, F.D.; Caetano, M. Exploring Different Levels of Class Nomenclature in Random Forest Classification of Sentinel-2 Data. In Proceedings of the IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium; IEEE, 2022; Vol. 2018, pp. 2279–2282.

  • Costa, H.; Benevides, P.; Moreira, F. D.; Moraes, D.; Caetano, M. Spatially Stratified and Multi-Stage Approach for National Land Cover Mapping Based on Sentinel-2 Data and Expert Knowledge. Remote Sens. 2022, 14, 1865, doi:10.3390/rs14081865.

  • Barbosa, B.; Rocha, J.; Costa, H.; Caetano, M. Automatic detection of vegetation cover changes in urban-rural interface areas. MethodsX 2022, 9, 101643, doi:10.1016/j.mex.2022.101643.

  • Barbosa, B.; Rocha, J.; Costa, H.; Caetano, M. Uncovering Vegetation Changes in the Urban–Rural Interface through Semi-Automatic Methods. Appl. Sci. 2022, 12, 2294, doi:10.3390/app12052294.

  • Sumbul, G.; de Wall, A.; Kreuziger, T.; Marcelino, F.; Costa, H.; Benevides, P.; Caetano, M.; Demir, B.; Markl, V. BigEarthNet-MM: A Large-Scale, Multimodal, Multilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets]. IEEE Geosci. Remote Sens. Mag. 2021, 9, 174–180, doi:10.1109/MGRS.2021.3089174.

  • Benevides, P. J.; Silva, N.; Costa, H.; Moreira, F. D.; Moraes, D.; Castelli, M.; Caetano, M. Land cover mapping at national scale with Sentinel-2 and LUCAS: a case study in Portugal. In Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII; Neale, C. M., Maltese, A., Eds.; SPIE, 2021; Vol. 11856, pp. 14-22.

  • Moraes, D.; Benevides, P.; Costa, H.; Moreira, F.; Caetano, M. Assessment of the introduction of spatial stratification and manual training in automatic supervised image classification. In Proceedings of SPIE - The International Society for Optical Engineering; 2021; Vol. 11863, pp. 291-298

  • Moraes, D.; Benevides, P.; Moreira, F. D.; Costa, H.; Caetano, M. Exploring the use of classification uncertainty to improve classification accuracy. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2021, XLIII-B3-2, 81–86, doi:10.5194/isprs-archives-XLIII-B3-2021-81-2021.

  • Los, H.; Mendes, G. S.; Cordeiro, D.; Grosso, N.; Costa, H.; Benevides, P.; Caetano, M. Evaluation of Xgboost and Lgbm Performance in Tree Species Classification with Sentinel-2 Data. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS; IEEE, 2021; pp. 5803–5806.

  • Moraes, D.; Benevides, P.; Costa, H.; Moreira, F. D.; Caetano, M. Influence of Sample Size in Land Cover Classification Accuracy Using Random Forest and Sentinel-2 Data in Portugal. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS; IEEE, 2021; pp. 4232–4235.

  • Costa, H.; Machado, I.; Moreira, F. D.; Benevides, P.; Moraes, D.; Caetano, M. Exploring the Potential of Sentinel-2 Data for Tree Crown Mapping in Oak Agro-Forestry Systems. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS; IEEE, Ed.; IEEE, 2021; pp. 5807–5810.

  • Benevides, P.; Costa, H.; Moreira, F. D.; Moraes, D.; Caetano, M. Annual Crop Classification Experiments in Portugal Using Sentinel-2. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS; IEEE, 2021; pp. 5838–5841.

  • Costa, H.; Giraldo, A.; Caetano, M. Exploring BFAST to detect forest changes in Portugal. In Image and Signal Processing for Remote Sensing XXVI; Notarnicola, C., Bovenga, F., Bruzzone, L., Bovolo, F., Benediktsson, J. A., Santi, E., Pierdicca, N., Eds.; SPIE, 2020; Vol. 1153308, p. 6.

  • Costa, H.; Benevides, P.; Marcelino, F.; Caetano, M. Introducing automatic satellite image processing into land cover mapping by photo-interpretation of airborne data. ISPRS - Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2020, XLII-3/W11, 29–34, doi:10.5194/isprs-archives-XLII-3-W11-29-2020.

  • Hernandez, I.; Benevides, P.; Costa, H.; Caetano, M. Exploring Sentinel-2 for land cover and crop mapping in Portugal. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2020, XLIII-B3-2, 83–89, doi:10.5194/isprs-archives-XLIII-B3-2020-83-2020.

Última atualização: 12 de Outubro de 2022