Monitoring of riparian vegetation response to flood disturbances using terrestrial photography

Džubáková, K.; Molnar, P.; Schindler, K.; Trizna, M.

doi:10.5194/hess-19-195-2015

Articles | Volume 19, issue 1

https://doi.org/10.5194/hess-19-195-2015

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

https://doi.org/10.5194/hess-19-195-2015

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

Articles | Volume 19, issue 1

Research article

|

13 Jan 2015

Research article |

| 13 Jan 2015

Monitoring of riparian vegetation response to flood disturbances using terrestrial photography

K. Džubáková, P. Molnar, K. Schindler, and M. Trizna

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Mar 2014	64	103	2	169
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Jul 2014	24	29	4	57
Aug 2014	9	15	2	26
Sep 2014	20	21	3	44
Oct 2014	26	27	0	53
Nov 2014	26	21	0	47
Dec 2014	12	20	1	33
Jan 2015	109	114	2	225
Feb 2015	62	65	2	129
Mar 2015	48	29	4	81
Apr 2015	39	31	6	76
May 2015	25	39	2	66
Jun 2015	49	61	6	116
Jul 2015	45	54	6	105
Aug 2015	21	53	2	76
Sep 2015	16	49	9	74
Oct 2015	17	43	21	81
Nov 2015	23	56	1	80
Dec 2015	10	47	1	58
Jan 2016	26	23	0	49
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Mar 2016	16	23	0	39
Apr 2016	13	22	0	35
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Jun 2016	10	14	0	24
Jul 2016	8	11	2	21
Aug 2016	9	10	1	20
Sep 2016	9	12	2	23
Oct 2016	16	9	3	28
Nov 2016	9	4	7	20
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Jan 2017	20	6	0	26
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Mar 2018	10	19	0	29
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Jan 2019	8	10	1	19
Feb 2019	6	9	0	15
Mar 2019	10	24	0	34
Apr 2019	14	22	0	36
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Jul 2019	9	16	0	25
Aug 2019	4	16	0	20
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Mar 2020	9	12	0	21
Apr 2020	8	8	0	16
May 2020	4	5	0	9
Jun 2020	17	9	0	26
Jul 2020	26	15	9	50
Aug 2020	8	11	8	27
Sep 2020	16	11	0	27
Oct 2020	11	10	0	21
Nov 2020	9	6	0	15
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Jan 2021	30	18	1	49
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Mar 2021	22	19	0	41
Apr 2021	12	20	0	32
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Dec 2022	30	17	0	47
Jan 2023	24	20	1	45
Feb 2023	32	11	0	43
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Jun 2023	15	9	1	25
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Aug 2023	15	7	1	23
Sep 2023	7	15	2	24
Oct 2023	15	16	1	32
Nov 2023	11	11	1	23
Dec 2023	15	14	2	31
Jan 2024	22	12	0	34
Feb 2024	11	34	3	48
Mar 2024	14	42	6	62
Apr 2024	28	17	4	49
May 2024	23	25	8	56
Jun 2024	29	9	3	41
Jul 2024	24	7	4	35
Aug 2024	51	5	1	57
Sep 2024	11	6	0	17
Oct 2024	15	13	0	28
Nov 2024	9	10	0	19
Dec 2024	15	11	4	30
Jan 2025	19	13	0	32
Feb 2025	28	11	1	40
Mar 2025	22	17	0	39
Apr 2025	23	16	2	41
May 2025	24	15	2	41
Jun 2025	43	19	0	62
Jul 2025	27	16	1	44
Aug 2025	14	25	2	41
Sep 2025	61	26	1	88
Oct 2025	25	27	2	54
Nov 2025	31	27	1	59

Cumulative views and downloads (calculated since 21 Mar 2014)

Month	HTML	PDF	XML	Total
Mar 2014	64	103	2	169
Apr 2014	41	51	6	98
May 2014	18	18	2	38
Jun 2014	7	22	1	30
Jul 2014	24	29	4	57
Aug 2014	9	15	2	26
Sep 2014	20	21	3	44
Oct 2014	26	27	0	53
Nov 2014	26	21	0	47
Dec 2014	12	20	1	33
Jan 2015	109	114	2	225
Feb 2015	62	65	2	129
Mar 2015	48	29	4	81
Apr 2015	39	31	6	76
May 2015	25	39	2	66
Jun 2015	49	61	6	116
Jul 2015	45	54	6	105
Aug 2015	21	53	2	76
Sep 2015	16	49	9	74
Oct 2015	17	43	21	81
Nov 2015	23	56	1	80
Dec 2015	10	47	1	58
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Feb 2016	20	24	3	47
Mar 2016	16	23	0	39
Apr 2016	13	22	0	35
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Jun 2022	18	13	3	34
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Aug 2022	21	6	0	27
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Nov 2022	34	14	0	48
Dec 2022	30	17	0	47
Jan 2023	24	20	1	45
Feb 2023	32	11	0	43
Mar 2023	42	13	0	55
Apr 2023	10	13	1	24
May 2023	17	13	1	31
Jun 2023	15	9	1	25
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Aug 2023	15	7	1	23
Sep 2023	7	15	2	24
Oct 2023	15	16	1	32
Nov 2023	11	11	1	23
Dec 2023	15	14	2	31
Jan 2024	22	12	0	34
Feb 2024	11	34	3	48
Mar 2024	14	42	6	62
Apr 2024	28	17	4	49
May 2024	23	25	8	56
Jun 2024	29	9	3	41
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Aug 2024	51	5	1	57
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Oct 2024	15	13	0	28
Nov 2024	9	10	0	19
Dec 2024	15	11	4	30
Jan 2025	19	13	0	32
Feb 2025	28	11	1	40
Mar 2025	22	17	0	39
Apr 2025	23	16	2	41
May 2025	24	15	2	41
Jun 2025	43	19	0	62
Jul 2025	27	16	1	44
Aug 2025	14	25	2	41
Sep 2025	61	26	1	88
Oct 2025	25	27	2	54
Nov 2025	31	27	1	59

Latest update: 27 Nov 2025

Short summary

We use a high-resolution ground-based camera system with near-infrared sensitivity to quantify the response of riparian vegetation in an Alpine river to floods with the use of vegetation indices. The vegetation showed both damage and enhancement within 1 week following floods, with a selective impact determined by pre-flood vegetation vigour, morphological setting and intensity of flood forcing. The tested vegetation indices differed in the direction of predicted change in the range 0.7-35.8%.