El Sistema de Monitoreo de Cobertura del Suelo de Portugal (SMOS): de la investigación y el desarrollo (I+D) a las operaciones

Autores/as

  • Hugo Costa Direção-Geral do Território
  • Pedro Benevides Direção-Geral do Território
  • Mário Caetano Direção-Geral do Território

DOI:

https://doi.org/10.59192/mapping.387

Palabras clave:

Satélite, Sentinel, Cobertura del suelo, Uso de la tierra, VGI, Pensamiento de diseño

Resumen

El Sistema de Monitoreo de Cobertura del Suelo de Portugal SMOS (Sistema de Monitorização da Ocupação do Solo) es una iniciativa concebida y desarrollada por la Direção-Geral do Território (DGT) con el objetivo de producir continuamente información cartográfica básica y temática sobre el uso y la cobertura del suelo para Portugal. SMOS es un sistema colaborativo y multifuncional con la  intervención de la Administración Pública, el sistema científico y tecnológico nacional, el sector privado y el ciudadano, orientado por las necesidades del usuario y por una política de datos abiertos. SMOS representa un cambio de paradigma en la producción de cartografía y utiliza los últimos avances en tecnologías espaciales e Inteligencia Artificial para crear mapas con más detalle, calidad y velocidad. En este artículo se  presenta SMOS, describiendo los pasos iniciales que permitieron la implementación del sistema, su organización y gobernanza, productos cartográficos y visualizadores de mapas, y desarrollos previstos para el futuro.

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Biografía del autor/a

Hugo Costa, Direção-Geral do Território

PhD in Geographical Information Science from the University of Nottingham and an MSc in Geographical Information Science and Systems from NOVA Information Management School (NOVA IMS). He has past experience in land cover mapping from satellite image classification, thematic accuracy assessment and ecological modelling. Currently he is working at DGT since 2018 developing satellite image processing methods to produce LCLU information at operational level. Hugo is also Professor of the Practice at NOVA IMS where he teaches remote sensing.



Pedro Benevides, Direção-Geral do Território

PhD in Geophysical Sciences and Geoinformation and an MSc in Geographical Engineering both from the University of Lisbon. He has past experience in many satellite data processing (optical, radar, hyperspectral and GNSS). Currently he is working at DGT since 2018 developing satellite image processing methods to produce LCLU information at operational level.

Mário Caetano, Direção-Geral do Território

Principal investigator of Directorate-General of Territorial Development (DGT) and Deputy Director-General of DGT since October 2014. Since 2000 he is an Associate Professor at Information Management School from the New University of Lisboa (NOVA IMS). Mário Caetano has a degree in Forest Engineering from the Lisboa University of Technology (1989), a MSc in Geography from the University of California, Santa Barbara (1995), a Ph.D. in Forestry (2000) from the Lisboa University of Technology, and a Habilitation in Information Management from NOVA-IMS (2013). Research interests include information systems and management, spatial analysis and the use of remote sensing data for land cover land use (LCLU) characterisation and environment monitoring. He is the author of more than 190 publications in books, journals and conference proceedings.

Citas

Chaves, M. E. D., Picoli, M. C. A., & Sanches, I. D. (2020). Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review. In Remote Sensing (Vol. 12, Issue 18, p. 3062). https://doi.org/10.3390/rs12183062 DOI: https://doi.org/10.3390/rs12183062

Patrício, P., Furtado, D., Bica, V., Fonseca, A., Gomes, A. L., Serronha, A., Silva, H., Ferreira, S., & Caetano, M. (2022a). INSPIRE Directive implementation in Portugal. The state of play. Mapping, 28(198), 46–54.

Patrício, P., Furtado, D., Bica, V., Fonseca, A., Gomes, A. L., Serronha, A., Silva, H., Ferreira, S., & Caetano, M. (2022b). National register for geographic data and the new SNIG GeoPortal. Mapping, 29(199), 12–21.

Phiri, D., Simwanda, M., Salekin, S., Nyirenda, V., Murayama, Y., & Ranagalage, M. (2020). Sentinel-2 Data for Land Cover/Use Mapping: A Review. Remote Sensing, 12(14), 2291. https://doi.org/10.3390/rs12142291 DOI: https://doi.org/10.3390/rs12142291

Probeck, M., Ruiz, I., Ramminger, G., Fourie, C., Maier, P., Ickerott, M., Storch, C., Homolka, A., Muller, S. J., Tiwari, H., Stumpf, A., Chun, S., Mattos, C., Lindmayer, A., Jahangir, F., Endara, P., Berndt, F., Dohr, M., Kapferer, W., … Dufourmont, H. (2021). CLC+ Backbone: Set the Scene in Copernicus for the Coming Decade. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2076–2079. https://doi.org/10.1109/IGARSS47720.2021.9553252 DOI: https://doi.org/10.1109/IGARSS47720.2021.9553252

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Publicado

2023-05-12

Cómo citar

Costa, H., Benevides, P., & Caetano, M. (2023). El Sistema de Monitoreo de Cobertura del Suelo de Portugal (SMOS): de la investigación y el desarrollo (I+D) a las operaciones. REVISTA INTERNACIONAL MAPPING, 32(210), 44–51. https://doi.org/10.59192/mapping.387

Número

Sección

Artículos Científicos