Applicability of Sentinel-1 and Sentinel-2 images for the detection and delineation of crisis information in the scope of Copernicus EMS services

U. Donezar-Hoyos, A. Larrañaga Urien, A. Tamés-Noriega, C. Sánchez-Gil, L. Albizua-Huarte, R. Ciriza-Labiano, F. del Barrio-Arellano


This study shows the inclusion of Sentinel-1 and Sentinel-2 images in the workflows to obtain of crisis information of different types of events and their applicability in the detection and monitoring of those events. Sentinel is an Earth Observation (EO) program that is currently being developed by the European Space Agency (ESA) in the scope of the Copernicus program operative since April 2012, formerly known as Global Monitoring for Environment and Security (GMES). This program comprises six missions, out of which three are active, Sentinel-1 that provides radar images, Sentinel-.2 providing High Resolution optical images and Sentinel-3 developed to support GMES ocean, land, atmospheric, emergency, security and cryospheric applications. The present paper describes the use of Sentinel-1 radar to detect and delineate flooded areas, and the MultiTemporal Coherence (MTC) analysis applied with pre and post-event images to delimit and monitor burnt areas and lava flows. With respect to Sentinel-2, its high spectral resolution bands allowed the delineation of burnt areas by calculating differences of vegetation and burnt indices using pre and postevent images. Results using Sentinel-1 and Sentinel-2 data were compared with results using higher spatial resolution images, both optical and radar. In all cases, the usability of Sentinel images was proven.


emergency; Sentinel-1; Sentinel-2; MTC; forest fires; lava flow monitoring; floods

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Altman, D.G. (1991). Practical statistics for medical research. New York. Chapman and Hall.

Brockmann Consult, Array Systems Computing y C-S. 2015. “SNAP – The Sentinels Application Platform”. Earth Observation Open Science 2.0, ESRIN, 12 - 14 October 2015.


Henry, J.-B. et al. (2006). “Envisat Multi-Polarized ASAR Data for Flood Mapping.” International Journal of Remote Sensing, 27(10), 1921-1929.

International Working Group on Satellite based Emergency Mapping (IWG-SEM) Emergency Mapping Guidelines, Working Paper (v1.0), 2015. Disponible en files/IWG_SEM_EmergencyMappingGuidelines_ v1_Final.pdf. Último acceso: diciembre de 2017.

Martín, M. (1998). Cartografía e inventario de incendios forestales en la Península Ibérica a partir de imágenes NOAA-AVHRR. Doctoral thesis, Universidad de Alcalá, Alcalá de Henares.

Overwatch Systems, Ltd. 2000-2013. Feature Analyst Tutorial.

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Remote Sensing  vol: 11  issue: 17  first page: 1973  year: 2019  
doi: 10.3390/rs11171973


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