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Automated Delineation Of Wildfire Areas Using Sentinel-2 Satellite Imagery

Authors: Weirather, Mira; Zeug, Gunter; Schneider, Thomas;

Automated Delineation Of Wildfire Areas Using Sentinel-2 Satellite Imagery

Abstract

Climate change will bring many changes to the world. For example, the frequency and severity of natural hazards and related disasters are expected to increase globally. Wildfires already affect thousands of people every year and cause billions of Euros’ worth of damage. It is therefore paramount to develop measures that help deal with the consequences of wildfires. Forests being the largest terrestrial ecosystem in the European Union and providing many ecosystem services, their loss due to wildfires is of serious concern. In this study, an algorithm to extract the burned area of wildfire e vents is presented. It was developed on the basis of three fire events in 2017. The procedure is fully automated, from downloading suitable data to determining the burned area by applying the differenced Normalized Burn Ratio (dNBR) on open Sentinel-2 satellite imagery from the European Copernicus programme. First results show good performance and encourage its further development and application. It is planned that the output of our mapping will feed into and be used in calibrating wildfire simulations during longer fire events.

Subjects by Vocabulary

Microsoft Academic Graph classification: Normalized burn ratio Climate change Ecosystem services Natural hazard media_common.cataloged_instance Satellite imagery European union media_common business.industry Environmental resource management Fully automated Environmental science Terrestrial ecosystem business

Keywords

Geography, Planning and Development, Education, Computers in Earth Sciences, cloud computing, Computer Science Applications, wildfires, Sentinel-2, Copernicus

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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