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

Authors

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

DOI:

https://doi.org/10.4995/raet.2017.8896

Keywords:

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

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.

Downloads

Download data is not yet available.

Author Biographies

U. Donezar-Hoyos, Tracasa

Tracasa. Departamento de Ingeniería y Sistemas Territoriales

A. Larrañaga-Urien, Tracasa

Tracasa. Departamento de Ingeniería y Sistemas Territoriales

A. Tamés-Noriega, Tracasa

Tracasa. Departamento de Ingeniería y Sistemas Territoriales

C. Sánchez-Gil, Tracasa

Tracasa. Departamento de Ingeniería y Sistemas Territoriales

L. Albizua-Huarte, Tracasa

Tracasa. Departamento de Ingeniería y Sistemas Territoriales

R. Ciriza-Labiano, Tracasa

Tracasa. Departamento de Ingeniería y Sistemas Territoriales

F. del Barrio-Arellano, Tracasa

Tracasa. Departamento de Ingeniería y Sistemas Territoriales

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.

Published

2017-12-26

Issue

Section

Practical cases