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Article

Uncovering Vegetation Changes in the Urban–Rural Interface through Semi-Automatic Methods

by 1,2,*, 1,2, 3,4 and 3,4
1
Centre for Geographical Studies, Institute of Geography and Spatial Planning, University of Lisbon, 1600-276 Lisbon, Portugal
2
Associated Laboratory TERRA, 1349-017 Lisbon, Portugal
3
Direção Geral do Território, 1099-052 Lisboa, Portugal
4
NOVA Information Management School (NOVA IMS), University NOVA of Lisbon, 1070-312 Lisboa, Portugal
*
Author to whom correspondence should be addressed.
Academic Editors: Adélia N. Nunes, Hélder David da Silva Craveiro and Albano Figueiredo
Appl. Sci. 2022, 12(5), 2294; https://doi.org/10.3390/app12052294
Received: 21 January 2022 / Revised: 14 February 2022 / Accepted: 19 February 2022 / Published: 22 February 2022
(This article belongs to the Special Issue Wildland-Urban Interface and Risk of Wildfires)
Forest fires are considered by Portuguese civil protection as one of the most serious natural disasters due to their frequency and extent. To address the problem, the Fire Forest Defense System establishes the implementation of fuel management bands to aid firefighting. The aim of this study was to develop a model capable of identifying vegetation removal in the urban–rural interface defined by law for fuel management actions. The model uses normalised difference vegetation index (NDVI) of Sentinel-2 images time series and is based on the Welch t-test to find statistically significant differences between (i) the value of the NDVI in the pixel; (ii) the mean of the NDVI in the pixels of the same land cover type in a radius of 500 m; and (iii) their difference. The model identifies a change when the t-test points for a significant difference of the NDVI value in the ‘pixel’ as comparted to the ‘difference’ but not the ‘mean’. We use a moving window limited to 60 days before and after the analysed date to reduce the phenological variations of vegetation. The model was applied in five municipalities of Portugal and the results are promising to identify the places where the management of fuel bands was not carried out. This indicates which model could be used to assist in the verification of the annual management of the fuel bands defined in the law. View Full-Text
Keywords: Sentinel 2; forest fires; NDVI; vegetation change; fuel management Sentinel 2; forest fires; NDVI; vegetation change; fuel management
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MDPI and ACS Style

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. https://doi.org/10.3390/app12052294

AMA Style

Barbosa B, Rocha J, Costa H, Caetano M. Uncovering Vegetation Changes in the Urban–Rural Interface through Semi-Automatic Methods. Applied Sciences. 2022; 12(5):2294. https://doi.org/10.3390/app12052294

Chicago/Turabian Style

Barbosa, Bruno, Jorge Rocha, Hugo Costa, and Mário Caetano. 2022. "Uncovering Vegetation Changes in the Urban–Rural Interface through Semi-Automatic Methods" Applied Sciences 12, no. 5: 2294. https://doi.org/10.3390/app12052294

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