Citation: Pepe, A.; Sali, M.; Boschetti,
M.; Stroppiana, D. Mapping Burned
Areas from Sentinel-1 and Sentinel-2
Data. Environ. Sci. Proc. 2022,17, 62.
Academic Editors: Pierpaolo Duce,
Donatella Spano, Michele Salis,
Bachisio Arca, Valentina Bacciu,
Grazia Pellizzaro and Costantino
Published: 10 August 2022
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Mapping Burned Areas from Sentinel-1 and Sentinel-2 Data †
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
† Presented at the Third International Conference on Fire Behavior and Risk, Sardinia, Italy, 3–6 May 2022.
Keywords: optical and multi-spectral satellite data; SAR satellite data; ﬁre monitoring
Fires devastated Europe during the summer of 2021, with hundreds of events burn-
ing across the Mediterranean, causing unprecedented damage to people, properties, and
ecosystems. Remote sensing (RS) is widely recognized as a key source of data for monitor-
ing wildﬁres [
], exploiting both optical/multi-spectral and microwave satellite sensors [
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.
Conceptualization: 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
Funding: This research received no external fundings.
Institutional Review Board Statement: Not applicable.
Informed Consent Statement:
Informed consent was obtained from all subjects involved in
Data Availability Statement:
The data presented in this study are available on request from the
Conﬂicts of Interest: The authors declare no conﬂict of interest.
Environ. Sci. Proc. 2022,17, 62. https://doi.org/10.3390/environsciproc2022017062 https://www.mdpi.com/journal/environsciproc
Environ. Sci. Proc. 2022,17, 62 2 of 2
Szpakowski, D.M.; Jensen, J.L.R. A Review of the Applications of Remote Sensing in Fire Ecology. Remote Sens.
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. [CrossRef]