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

Abstract

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.


Keywords

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

Full Text:

PDF

References

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.

Copernicus http://www.copernicus.eu/main/sentinels.

Henry, J.-B. et al. (2006). “Envisat Multi-Polarized ASAR Data for Flood Mapping.” International Journal of Remote Sensing, 27(10), 1921-1929. https://doi.org/10.1080/01431160500486724

International Working Group on Satellite based Emergency Mapping (IWG-SEM) Emergency Mapping Guidelines, Working Paper (v1.0), 2015. Disponible en http://www.unspider.org/sites/default/ 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.

Abstract Views

2496
Metrics Loading ...

Metrics powered by PLOS ALM


 

Cited-By (articles included in Crossref)

This journal is a Crossref Cited-by Linking member. This list shows the references that citing the article automatically, if there are. For more information about the system please visit Crossref site

1. JupyTEP IDE as an Online Tool for Earth Observation Data Processing
Rapiński, Bednarczyk, Zinkiewicz
Remote Sensing  vol: 11  issue: 17  first page: 1973  year: 2019  
doi: 10.3390/rs11171973



 

This journal is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International

Universitat Politècnica de València

Official Journal of the Spanish Association of Remote Sensing

e-ISSN: 1988-8740    ISSN: 1133-0953           https://doi.org/10.4995/raet