Social media as an information source for rapid flood inundation mapping

Fohringer, J.; Dransch, D.; Kreibich, H.; Schröter, K.

doi:10.5194/nhess-15-2725-2015

Articles | Volume 15, issue 12

https://doi.org/10.5194/nhess-15-2725-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Natural hazard event analyses for risk reduction and...

https://doi.org/10.5194/nhess-15-2725-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 12

Research article

|

21 Dec 2015

Research article |

| 21 Dec 2015

Social media as an information source for rapid flood inundation mapping

J. Fohringer, D. Dransch, H. Kreibich, and K. Schröter

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Total article views: 8,541 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
4,503	3,544	494	8,541	200	242

HTML: 4,503
PDF: 3,544
XML: 494
Total: 8,541
BibTeX: 200
EndNote: 242

Views and downloads (calculated since 01 Jul 2015)

Month	HTML	PDF	XML	Total
Jul 2015	93	89	3	185
Aug 2015	36	15	0	51
Sep 2015	26	26	0	52
Oct 2015	30	41	0	71
Nov 2015	38	33	1	72
Dec 2015	60	72	1	133
Jan 2016	181	112	6	299
Feb 2016	35	48	2	85
Mar 2016	78	48	0	126
Apr 2016	26	31	1	58
May 2016	28	21	1	50
Jun 2016	10	9	1	20
Jul 2016	17	12	4	33
Aug 2016	10	15	0	25
Sep 2016	11	12	0	23
Oct 2016	12	17	2	31
Nov 2016	13	17	1	31
Dec 2016	10	12	0	22
Jan 2017	19	15	0	34
Feb 2017	14	19	0	33
Mar 2017	28	30	0	58
Apr 2017	39	35	0	74
May 2017	40	27	2	69
Jun 2017	28	25	6	59
Jul 2017	24	20	1	45
Aug 2017	12	23	0	35
Sep 2017	25	29	0	54
Oct 2017	15	24	0	39
Nov 2017	17	26	2	45
Dec 2017	16	19	0	35
Jan 2018	30	30	2	62
Feb 2018	26	28	1	55
Mar 2018	33	19	1	53
Apr 2018	18	20	1	39
May 2018	25	22	0	47
Jun 2018	24	23	3	50
Jul 2018	21	30	3	54
Aug 2018	29	19	2	50
Sep 2018	16	21	4	41
Oct 2018	23	23	2	48
Nov 2018	24	33	6	63
Dec 2018	14	20	3	37
Jan 2019	23	23	2	48
Feb 2019	17	13	3	33
Mar 2019	23	23	6	52
Apr 2019	17	19	13	49
May 2019	15	19	11	45
Jun 2019	22	28	4	54
Jul 2019	18	20	7	45
Aug 2019	18	16	3	37
Sep 2019	16	28	10	54
Oct 2019	21	15	7	43
Nov 2019	19	36	18	73
Dec 2019	20	18	6	44
Jan 2020	23	28	18	69
Feb 2020	9	19	9	37
Mar 2020	10	20	5	35
Apr 2020	14	17	6	37
May 2020	20	22	4	46
Jun 2020	19	13	6	38
Jul 2020	36	34	18	88
Aug 2020	18	17	11	46
Sep 2020	12	15	6	33
Oct 2020	18	24	5	47
Nov 2020	20	26	6	52
Dec 2020	17	34	7	58
Jan 2021	33	43	10	86
Feb 2021	25	17	8	50
Mar 2021	38	33	11	82
Apr 2021	23	39	10	72
May 2021	29	42	13	84
Jun 2021	28	28	3	59
Jul 2021	32	25	3	60
Aug 2021	24	18	1	43
Sep 2021	37	31	2	70
Oct 2021	33	64	4	101
Nov 2021	34	50	5	89
Dec 2021	34	26	1	61
Jan 2022	33	32	1	66
Feb 2022	36	33	11	80
Mar 2022	38	33	1	72
Apr 2022	40	35	4	79
May 2022	28	29	3	60
Jun 2022	31	44	5	80
Jul 2022	26	14	1	41
Aug 2022	77	36	0	113
Sep 2022	28	61	41	130
Oct 2022	46	22	2	70
Nov 2022	53	26	1	80
Dec 2022	38	23	4	65
Jan 2023	47	38	3	88
Feb 2023	58	44	2	104
Mar 2023	52	63	11	126
Apr 2023	24	62	2	88
May 2023	30	31	3	64
Jun 2023	47	22	2	71
Jul 2023	24	24	3	51
Aug 2023	51	29	5	85
Sep 2023	61	26	4	91
Oct 2023	160	26	2	188
Nov 2023	151	14	4	169
Dec 2023	45	15	2	62
Jan 2024	44	18	2	64
Feb 2024	34	27	2	63
Mar 2024	45	31	3	79
Apr 2024	44	25	4	73
May 2024	51	35	5	91
Jun 2024	45	24	2	71
Jul 2024	58	46	3	107
Aug 2024	88	30	5	123
Sep 2024	52	42	4	98
Oct 2024	53	20	2	75
Nov 2024	39	10	1	50
Dec 2024	37	29	2	68
Jan 2025	50	33	5	88
Feb 2025	50	13	2	65
Mar 2025	76	19	0	95
Apr 2025	75	26	3	104
May 2025	45	24	0	69
Jun 2025	65	34	1	100
Jul 2025	48	26	1	75
Aug 2025	60	29	4	93
Sep 2025	76	28	0	104
Oct 2025	45	32	2	79
Nov 2025	10	8	0	18

Cumulative views and downloads (calculated since 01 Jul 2015)

Month	HTML	PDF	XML	Total
Jul 2015	93	89	3	185
Aug 2015	36	15	0	51
Sep 2015	26	26	0	52
Oct 2015	30	41	0	71
Nov 2015	38	33	1	72
Dec 2015	60	72	1	133
Jan 2016	181	112	6	299
Feb 2016	35	48	2	85
Mar 2016	78	48	0	126
Apr 2016	26	31	1	58
May 2016	28	21	1	50
Jun 2016	10	9	1	20
Jul 2016	17	12	4	33
Aug 2016	10	15	0	25
Sep 2016	11	12	0	23
Oct 2016	12	17	2	31
Nov 2016	13	17	1	31
Dec 2016	10	12	0	22
Jan 2017	19	15	0	34
Feb 2017	14	19	0	33
Mar 2017	28	30	0	58
Apr 2017	39	35	0	74
May 2017	40	27	2	69
Jun 2017	28	25	6	59
Jul 2017	24	20	1	45
Aug 2017	12	23	0	35
Sep 2017	25	29	0	54
Oct 2017	15	24	0	39
Nov 2017	17	26	2	45
Dec 2017	16	19	0	35
Jan 2018	30	30	2	62
Feb 2018	26	28	1	55
Mar 2018	33	19	1	53
Apr 2018	18	20	1	39
May 2018	25	22	0	47
Jun 2018	24	23	3	50
Jul 2018	21	30	3	54
Aug 2018	29	19	2	50
Sep 2018	16	21	4	41
Oct 2018	23	23	2	48
Nov 2018	24	33	6	63
Dec 2018	14	20	3	37
Jan 2019	23	23	2	48
Feb 2019	17	13	3	33
Mar 2019	23	23	6	52
Apr 2019	17	19	13	49
May 2019	15	19	11	45
Jun 2019	22	28	4	54
Jul 2019	18	20	7	45
Aug 2019	18	16	3	37
Sep 2019	16	28	10	54
Oct 2019	21	15	7	43
Nov 2019	19	36	18	73
Dec 2019	20	18	6	44
Jan 2020	23	28	18	69
Feb 2020	9	19	9	37
Mar 2020	10	20	5	35
Apr 2020	14	17	6	37
May 2020	20	22	4	46
Jun 2020	19	13	6	38
Jul 2020	36	34	18	88
Aug 2020	18	17	11	46
Sep 2020	12	15	6	33
Oct 2020	18	24	5	47
Nov 2020	20	26	6	52
Dec 2020	17	34	7	58
Jan 2021	33	43	10	86
Feb 2021	25	17	8	50
Mar 2021	38	33	11	82
Apr 2021	23	39	10	72
May 2021	29	42	13	84
Jun 2021	28	28	3	59
Jul 2021	32	25	3	60
Aug 2021	24	18	1	43
Sep 2021	37	31	2	70
Oct 2021	33	64	4	101
Nov 2021	34	50	5	89
Dec 2021	34	26	1	61
Jan 2022	33	32	1	66
Feb 2022	36	33	11	80
Mar 2022	38	33	1	72
Apr 2022	40	35	4	79
May 2022	28	29	3	60
Jun 2022	31	44	5	80
Jul 2022	26	14	1	41
Aug 2022	77	36	0	113
Sep 2022	28	61	41	130
Oct 2022	46	22	2	70
Nov 2022	53	26	1	80
Dec 2022	38	23	4	65
Jan 2023	47	38	3	88
Feb 2023	58	44	2	104
Mar 2023	52	63	11	126
Apr 2023	24	62	2	88
May 2023	30	31	3	64
Jun 2023	47	22	2	71
Jul 2023	24	24	3	51
Aug 2023	51	29	5	85
Sep 2023	61	26	4	91
Oct 2023	160	26	2	188
Nov 2023	151	14	4	169
Dec 2023	45	15	2	62
Jan 2024	44	18	2	64
Feb 2024	34	27	2	63
Mar 2024	45	31	3	79
Apr 2024	44	25	4	73
May 2024	51	35	5	91
Jun 2024	45	24	2	71
Jul 2024	58	46	3	107
Aug 2024	88	30	5	123
Sep 2024	52	42	4	98
Oct 2024	53	20	2	75
Nov 2024	39	10	1	50
Dec 2024	37	29	2	68
Jan 2025	50	33	5	88
Feb 2025	50	13	2	65
Mar 2025	76	19	0	95
Apr 2025	75	26	3	104
May 2025	45	24	0	69
Jun 2025	65	34	1	100
Jul 2025	48	26	1	75
Aug 2025	60	29	4	93
Sep 2025	76	28	0	104
Oct 2025	45	32	2	79
Nov 2025	10	8	0	18

Latest update: 08 Nov 2025

Short summary

During and shortly after a disaster, data about the hazard and its consequences are scarce and not readily available. This research proposes a methodology that leverages social media content to support rapid inundation mapping, including inundation extent and water depth in the case of floods. The case study of the June 2013 flood in the city of Dresden shows that social media may help to bridge the information gap when traditional data sources are lacking or are sparse.