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

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;
Published: 10 August 2022
(This article belongs to the Proceedings of The Third International Conference on Fire Behavior and Risk)
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 Contributions

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 the manuscript.


This research received no external fundings.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.


  1. Szpakowski, 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]
  2. 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]
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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.

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.

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.

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