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

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

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

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

Research output: Contribution to conference › Poster

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Abstract

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

Original language	English
Pages	1
Number of pages	1
Publication status	Unpublished - 27 Sept 2024
Event	Data Research Meetup by MagIC - NOVA Information Management School, Lisbon, Portugal Duration: 24 Sept 2024 → 24 Sept 2024 Conference number: 1 https://magic.novaims.unl.pt/en/society/events/data-research-meetup-by-magic/

Other

Other	Data Research Meetup by MagIC
Country/Territory	Portugal
City	Lisbon
Period	24/09/24 → 24/09/24
Internet address	https://magic.novaims.unl.pt/en/society/events/data-research-meetup-by-magic/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action
SDG 15 Life on Land

Access to Document

Monitoring_forest_loss_in_Central_Portugal_with_Sentinel-2_data_[poster]Final published version, 2.35 MBLicence: Unspecified

Data Research Meetup by MagIC
Vanneschi, L. (Organiser), Pinto, D. C. (Organiser), Oliveira, C. (Organiser) & O'Reilly, U. M. (Invited speaker)
24 Sept 2024
Activity: Participating in or organising an event › Participation in workshop, seminar, course

Cite this

@conference{3f92da70f7cf442fa758276c16402fb6,

title = "Monitoring forest loss in Central Portugal with Sentinel-2 data [poster]",

abstract = "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",

author = "Daniel Moraes and Bruno Barbosa and Hugo Costa and Moreira, \{Francisco D.\} and Pedro Benevides and M{\'a}rio Caetano and Campagnolo, \{Manuel Lameiras\}",

note = "info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB\%2F00239\%2F2020/PT\# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB\%2F04152\%2F2020/PT\# info:eu-repo/grantAgreement/FCT/OE/PRT\%2FBD\%2F153517\%2F2021/PT\# https://doi.org/10.54499/UIDB/04152/2020\# 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 Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia (FCT) grant number PRT/BD/153517/2021, the Forest Research Centre and Associated Laboratory TERRA (UIDB/00239/2020) and Centro de Investiga{\c c}{\~a}o em Gest{\~a}o de Informa{\c c}{\~a}o (MagIC), research units funded by FCT and Compete2020 (POCI-05-5762-FSE-000368), supported by the European Social Fund.; Data Research Meetup by MagIC ; Conference date: 24-09-2024 Through 24-09-2024",

year = "2024",

month = sep,

day = "27",

language = "English",

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url = "https://magic.novaims.unl.pt/en/society/events/data-research-meetup-by-magic/",

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TY - CONF

T1 - Monitoring forest loss in Central Portugal with Sentinel-2 data [poster]

AU - Moraes, Daniel

AU - Barbosa, Bruno

AU - Costa, Hugo

AU - Moreira, Francisco D.

AU - Benevides, Pedro

AU - Caetano, Mário

AU - Campagnolo, Manuel Lameiras

N1 - Conference code: 1

PY - 2024/9/27

Y1 - 2024/9/27

N2 - 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

AB - 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

M3 - Poster

SP - 1

T2 - Data Research Meetup by MagIC

Y2 - 24 September 2024 through 24 September 2024

ER -

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

Abstract

Other

UN SDGs

Access to Document

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Activities

Data Research Meetup by MagIC

Cite this