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. 2019 Dec 9;6:311. doi: 10.1038/s41597-019-0326-9

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — Comparison of detected events and NatCatSERVICE. Panel a shows the number of events detected by our algorithm at admin 1 level, either aggregated by country or shown at admin 1 level (yellow to green) and flood events in Munich RE’s NatCatSERVICE (black dots) between August 29, 2014 and December 31, 2016 (model settings: sensitive). Panel b shows the match ratio [0–1] between NatCatSERVICE and our events detected at the level of admin 1 subdivisions aggregated per country. The labels show the total number of flood events recorded in NatCatSERVICE between August 29, 2014 and December 31, 2016 (model settings: sensitive).