Monitoring forest loss in Central Portugal with Sentinel-2 data [poster]

Moraes, Daniel; Barbosa, Bruno; Costa, Hugo; Moreira, Francisco D.; Benevides, Pedro; Caetano, Mário; Campagnolo, Manuel Lameiras

http://hdl.handle.net/10362/175509

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Autores

Moraes, Daniel

Barbosa, Bruno

Costa, Hugo

Moreira, Francisco D.

Benevides, Pedro

Caetano, Mário

Campagnolo, Manuel Lameiras

Resumo(s)

Background • Land cover monitoring offers significant societal benefits, being essential for environmental modeling and resource management • Advances in satellite data availability, computing storage and processing power introduced a new land cover monitoring paradigm: continuous and rapid identification of changes • Advanced techniques such as the Continuous Change Detection and Classification (CCDC) algorithm also play an important role • Lack of studies using CCDC with Sentinel-2 data ‒ Dense time series (5-day revisit time) ‒ Good spatial detail (10 m) Objective • Evaluate the potential of combining CCDC with Sentinel-2 data to detect changes associated with forest loss caused by clearing or fire

Descrição

Moraes, D., Barbosa, B., Costa, H., Moreira, F. D., Benevides, P., Caetano, M., & Campagnolo, M. L. (2024). Monitoring forest loss in Central Portugal with Sentinel-2 data [poster]. 1. Poster session presented at Data Research Meetup by MagIC, Lisbon, Portugal. --- Research funded by Fundação para a Ciência e a Tecnologia (FCT) grant number PRT/BD/153517/2021, the Forest Research Centre and Associated Laboratory TERRA (UIDB/00239/2020) and Centro de Investigação em Gestão de Informação (MagIC), research units funded by FCT and Compete2020 (POCI-05-5762-FSE-000368), supported by the European Social Fund.