Mapping Burned Areas from Sentinel-1 and Sentinel-2 Data

first_page settings Order Article Reprints Font Type: Arial Georgia Verdana Font Size: Aa Aa Aa Line Spacing:    Column Width:    Background: Open AccessAbstract Mapping Burned Areas from Sentinel-1 and Sentinel-2 Data † by Antonio Pepe *, Matteo Sali, Mirco Boschetti and Daniela Stroppiana Istituto per il Rilevamento Elettromagnetico dell'Ambiente (CNR-IREA), Consiglio Nazionale delle Ricerche, 80124 Napoli, Italy * Author to whom correspondence should be addressed. † Presented at the Third International Conference on Fire Behavior and Risk, Sardinia, Italy, 3–6 May 2022. Environ. Sci. Proc. 2022, 17(1), 62; https://doi.org/10.3390/environsciproc2022017062 Published: 10 August 2022 (This article belongs to the Proceedings of The Third International Conference on Fire Behavior and Risk) Download Download PDF Download PDF with Cover Download XML Download Epub Versions Notes Fires devastated Europe during the summer of 2021, with hundreds of events burning across the Mediterranean, causing unprecedented damage to people, properties, and ecosystems. Remote sensing (RS) is widely recognized as a key source of data for monitoring wildfires [1], exploiting both optical/multi-spectral and microwave satellite sensors [2]. Optical/multi-spectral and microwave satellite observations can provide information on areas affected by fires as well as on fire severity, which is the damage that affects vegetation. The major advantage of RS technology is the consistent and operative availability of data over large areas; these data can also be provided in near real-time for a fast assessment of fire damage. In this work, we exploit both Sentinel-1 (S1) and Sentinel-2 (S2) data from the Sicily region, Italy, to map and monitor the burned areas of the summer 2021 season. Coherent/incoherent change detection approaches have been applied to extract areas where the RS signal has registered a significant change that could have been induced by the occurrence of fire. Cross-comparison analyses between the results obtained using optical and microwave images have been carried out to characterize the performance of the exploited RS methods. To this aim, the fire perimeters available from the European Forest Fire Information System (EFFIS) were used. Author ContributionsConceptualization: A.P. and D.S.; Development and application of the Methodology: M.B.; Validation: M.S. All authors have read and agreed to the published version of the manuscript.FundingThis research received no external fundings.Institutional Review Board StatementNot applicable.Informed Consent StatementInformed consent was obtained from all subjects involved in the study.Data Availability StatementThe data presented in this study are available on request from the corresponding author.Conflicts of InterestThe authors declare no conflict of interest.ReferencesSzpakowski, D.M.; Jensen, J.L.R. A Review of the Applications of Remote Sensing in Fire Ecology. Remote Sens. 2019, 11, 2638. [Google Scholar] [CrossRef][Green Version]Belenguer-Plomer, M.A.; Tanase, M.A.; Chuvieco, E.; Bovolo, F. CNN-based burned area mapping using radar and optical data. Remote. Sens. Environ. 2021, 260, 112468. [Google Scholar] [CrossRef]Publisher's Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Share and Cite MDPI and ACS Style Pepe, A.; Sali, M.; Boschetti, M.; Stroppiana, D. Mapping Burned Areas from Sentinel-1 and Sentinel-2 Data. Environ. Sci. Proc. 2022, 17, 62. https://doi.org/10.3390/environsciproc2022017062 AMA Style Pepe A, Sali M, Boschetti M, Stroppiana D. Mapping Burned Areas from Sentinel-1 and Sentinel-2 Data. Environmental Sciences Proceedings. 2022; 17(1):62. https://doi.org/10.3390/environsciproc2022017062 Chicago/Turabian Style Pepe, Antonio, Matteo Sali, Mirco Boschetti, and Daniela Stroppiana. 2022. "Mapping Burned Areas from Sentinel-1 and Sentinel-2 Data" Environmental Sciences Proceedings 17, no. 1: 62. https://doi.org/10.3390/environsciproc2022017062 Find Other Styles Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here. Article Metrics No No Article Access Statistics Multiple requests from the same IP address are counted as one view.