@inproceedings{2f1b63ee3f334ae4ae5d8be6d994fa33,
title = "Fuel Break Monitoring with Sentinel-2 Imagery and GEDI Validation",
abstract = "Mediterranean Europe is strongly affected by wildfires. In Portugal, the Portuguese Institute for Nature Conservation and Forests (ICNF) implemented the national fuel break (FB) network responsible for fire control and suppression. FBs are regions where vegetation is reduced to break up the fuel continuity and create pathways for the firefighting vehicles. The efficiency of this strategy relies on the correct implementation of FBs and on periodic fuel treatments. Multispectral imagery from Sentinel-2 (with high temporal and spatial resolution) facilitates the monitoring of FBs and the implementation of methodologies for their management. In this paper a two stages methodology is proposed for monitoring FBs. The first stage consists in detecting fuel treatments in FBs, to understand if those were correctly executed. This is done through a change detection methodology with resource to an Artificial Neural Network. The second stage monitors the vegetation recovery after a fuel treatment, to aid the scheduling of new treatments, ensuring the efficiency of FBs during the fire season. Both methodologies resort to reflectance bands and spectral indices from Sentinel-2; and timeseries and objects, exploiting the temporal and spatial information. The two stages were tested in different regions across the Portuguese territory, demonstrating their usability for all the national fuel break network. The detection of treatments achieved a relative error lower than 4%, and the vegetation recovery cycle estimated by the second stage match the expectations from ICNF.",
keywords = "Artificial neural network, Change detection, Fuel breaks, Fuel treatments, GEDI, Remote sensing, Sentinel-2, Spectral indices, Vegetation recovery, Wildfires",
author = "Pereira-Pires, {Jo{\~a}o E.} and Valentine Aubard and G. Baldassarre and Fonseca, {Jos{\'e} M.} and Silva, {Jo{\~a}o M. N.} and Andr{\'e} Mora",
note = "Funding Information: info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCCI-COM%2F30344%2F2017/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00239%2F2020/PT# and foRESTER (PCIF/SSI/0102/2017), Publisher Copyright: {\textcopyright} 2022, IFIP International Federation for Information Processing.; 4th IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2021 ; Conference date: 04-11-2021 Through 05-11-2021",
year = "2022",
doi = "10.1007/978-3-030-96466-5_5",
language = "English",
isbn = "978-3-030-96465-8",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "67--85",
editor = "Camarinha-Matos, {Lu{\'i}s M.} and Geert Heijenk and Srinivas Katkoori and Leon Strous",
booktitle = "Internet of Things. Technology and Applications",
address = "Netherlands",
}