A dynamic landslide hazard assessment system for Central America and Hispaniola

Kirschbaum, D. B.; Stanley, T.; Simmons, J.

doi:10.5194/nhess-15-2257-2015

Articles | Volume 15, issue 10

https://doi.org/10.5194/nhess-15-2257-2015

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

Special issue:

Landslide Prediction & Forecasting

https://doi.org/10.5194/nhess-15-2257-2015

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

Articles | Volume 15, issue 10

Research article

|

09 Oct 2015

Research article |

| 09 Oct 2015

A dynamic landslide hazard assessment system for Central America and Hispaniola

D. B. Kirschbaum, T. Stanley, and J. Simmons

Viewed

Total article views: 5,118 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,847	2,098	173	5,118	164	189

HTML: 2,847
PDF: 2,098
XML: 173
Total: 5,118
BibTeX: 164
EndNote: 189

Views and downloads (calculated since 29 Apr 2015)

Month	HTML	PDF	XML	Total
Apr 2015	28	25	2	55
May 2015	52	32	1	85
Jun 2015	17	8	0	25
Jul 2015	15	6	0	21
Aug 2015	9	7	2	18
Sep 2015	12	5	0	17
Oct 2015	72	61	5	138
Nov 2015	39	37	4	80
Dec 2015	20	32	1	53
Jan 2016	38	26	1	65
Feb 2016	19	20	1	40
Mar 2016	20	9	0	29
Apr 2016	20	10	0	30
May 2016	9	8	0	17
Jun 2016	8	4	1	13
Jul 2016	5	6	2	13
Aug 2016	11	6	0	17
Sep 2016	10	14	0	24
Oct 2016	11	32	0	43
Nov 2016	9	13	1	23
Dec 2016	5	5	0	10
Jan 2017	16	9	0	25
Feb 2017	11	7	0	18
Mar 2017	29	17	0	46
Apr 2017	30	28	0	58
May 2017	35	20	1	56
Jun 2017	16	13	0	29
Jul 2017	16	11	0	27
Aug 2017	9	13	0	22
Sep 2017	19	31	1	51
Oct 2017	17	16	0	33
Nov 2017	35	30	0	65
Dec 2017	16	26	1	43
Jan 2018	14	27	2	43
Feb 2018	12	18	0	30
Mar 2018	21	33	3	57
Apr 2018	16	15	0	31
May 2018	20	16	0	36
Jun 2018	15	18	0	33
Jul 2018	12	26	1	39
Aug 2018	21	23	1	45
Sep 2018	18	21	1	40
Oct 2018	31	29	3	63
Nov 2018	23	20	1	44
Dec 2018	14	17	0	31
Jan 2019	15	21	1	37
Feb 2019	12	14	0	26
Mar 2019	12	13	0	25
Apr 2019	14	12	1	27
May 2019	7	15	1	23
Jun 2019	12	20	0	32
Jul 2019	6	10	0	16
Aug 2019	7	11	1	19
Sep 2019	6	3	0	9
Oct 2019	9	13	1	23
Nov 2019	12	9	1	22
Dec 2019	12	8	0	20
Jan 2020	16	15	3	34
Feb 2020	10	6	0	16
Mar 2020	2	11	1	14
Apr 2020	13	9	0	22
May 2020	8	13	1	22
Jun 2020	23	4	0	27
Jul 2020	31	29	18	78
Aug 2020	12	12	10	34
Sep 2020	15	3	0	18
Oct 2020	7	8	0	15
Nov 2020	14	7	2	23
Dec 2020	12	10	0	22
Jan 2021	26	16	0	42
Feb 2021	8	6	0	14
Mar 2021	9	12	1	22
Apr 2021	11	10	0	21
May 2021	17	13	3	33
Jun 2021	15	10	1	26
Jul 2021	14	13	0	27
Aug 2021	18	14	0	32
Sep 2021	19	11	1	31
Oct 2021	7	42	0	49
Nov 2021	14	33	2	49
Dec 2021	12	14	0	26
Jan 2022	15	17	0	32
Feb 2022	10	11	5	26
Mar 2022	9	14	0	23
Apr 2022	11	8	2	21
May 2022	9	10	1	20
Jun 2022	11	11	6	28
Jul 2022	9	9	0	18
Aug 2022	22	17	0	39
Sep 2022	11	10	1	22
Oct 2022	10	13	2	25
Nov 2022	23	11	1	35
Dec 2022	21	9	0	30
Jan 2023	26	15	1	42
Feb 2023	18	11	0	29
Mar 2023	20	13	0	33
Apr 2023	6	7	0	13
May 2023	13	8	4	25
Jun 2023	19	9	0	28
Jul 2023	24	7	1	32
Aug 2023	15	5	2	22
Sep 2023	23	11	2	36
Oct 2023	113	14	0	127
Nov 2023	123	8	0	131
Dec 2023	20	7	1	28
Jan 2024	14	11	1	26
Feb 2024	16	15	2	33
Mar 2024	17	22	1	40
Apr 2024	35	13	4	52
May 2024	19	21	1	41
Jun 2024	19	15	2	36
Jul 2024	22	15	2	39
Aug 2024	38	6	4	48
Sep 2024	16	19	2	37
Oct 2024	28	15	1	44
Nov 2024	23	18	0	41
Dec 2024	19	18	1	38
Jan 2025	35	19	0	54
Feb 2025	50	19	2	71
Mar 2025	29	23	3	55
Apr 2025	33	16	0	49
May 2025	22	14	0	36
Jun 2025	51	21	2	74
Jul 2025	98	26	1	125
Aug 2025	61	18	0	79
Sep 2025	24	16	0	40
Oct 2025	28	27	1	56
Nov 2025	41	45	5	91
Dec 2025	44	36	8	88
Jan 2026	58	30	11	99
Feb 2026	43	18	4	65
Mar 2026	31	7	1	39

Cumulative views and downloads (calculated since 29 Apr 2015)

Month	HTML	PDF	XML	Total
Apr 2015	28	25	2	55
May 2015	52	32	1	85
Jun 2015	17	8	0	25
Jul 2015	15	6	0	21
Aug 2015	9	7	2	18
Sep 2015	12	5	0	17
Oct 2015	72	61	5	138
Nov 2015	39	37	4	80
Dec 2015	20	32	1	53
Jan 2016	38	26	1	65
Feb 2016	19	20	1	40
Mar 2016	20	9	0	29
Apr 2016	20	10	0	30
May 2016	9	8	0	17
Jun 2016	8	4	1	13
Jul 2016	5	6	2	13
Aug 2016	11	6	0	17
Sep 2016	10	14	0	24
Oct 2016	11	32	0	43
Nov 2016	9	13	1	23
Dec 2016	5	5	0	10
Jan 2017	16	9	0	25
Feb 2017	11	7	0	18
Mar 2017	29	17	0	46
Apr 2017	30	28	0	58
May 2017	35	20	1	56
Jun 2017	16	13	0	29
Jul 2017	16	11	0	27
Aug 2017	9	13	0	22
Sep 2017	19	31	1	51
Oct 2017	17	16	0	33
Nov 2017	35	30	0	65
Dec 2017	16	26	1	43
Jan 2018	14	27	2	43
Feb 2018	12	18	0	30
Mar 2018	21	33	3	57
Apr 2018	16	15	0	31
May 2018	20	16	0	36
Jun 2018	15	18	0	33
Jul 2018	12	26	1	39
Aug 2018	21	23	1	45
Sep 2018	18	21	1	40
Oct 2018	31	29	3	63
Nov 2018	23	20	1	44
Dec 2018	14	17	0	31
Jan 2019	15	21	1	37
Feb 2019	12	14	0	26
Mar 2019	12	13	0	25
Apr 2019	14	12	1	27
May 2019	7	15	1	23
Jun 2019	12	20	0	32
Jul 2019	6	10	0	16
Aug 2019	7	11	1	19
Sep 2019	6	3	0	9
Oct 2019	9	13	1	23
Nov 2019	12	9	1	22
Dec 2019	12	8	0	20
Jan 2020	16	15	3	34
Feb 2020	10	6	0	16
Mar 2020	2	11	1	14
Apr 2020	13	9	0	22
May 2020	8	13	1	22
Jun 2020	23	4	0	27
Jul 2020	31	29	18	78
Aug 2020	12	12	10	34
Sep 2020	15	3	0	18
Oct 2020	7	8	0	15
Nov 2020	14	7	2	23
Dec 2020	12	10	0	22
Jan 2021	26	16	0	42
Feb 2021	8	6	0	14
Mar 2021	9	12	1	22
Apr 2021	11	10	0	21
May 2021	17	13	3	33
Jun 2021	15	10	1	26
Jul 2021	14	13	0	27
Aug 2021	18	14	0	32
Sep 2021	19	11	1	31
Oct 2021	7	42	0	49
Nov 2021	14	33	2	49
Dec 2021	12	14	0	26
Jan 2022	15	17	0	32
Feb 2022	10	11	5	26
Mar 2022	9	14	0	23
Apr 2022	11	8	2	21
May 2022	9	10	1	20
Jun 2022	11	11	6	28
Jul 2022	9	9	0	18
Aug 2022	22	17	0	39
Sep 2022	11	10	1	22
Oct 2022	10	13	2	25
Nov 2022	23	11	1	35
Dec 2022	21	9	0	30
Jan 2023	26	15	1	42
Feb 2023	18	11	0	29
Mar 2023	20	13	0	33
Apr 2023	6	7	0	13
May 2023	13	8	4	25
Jun 2023	19	9	0	28
Jul 2023	24	7	1	32
Aug 2023	15	5	2	22
Sep 2023	23	11	2	36
Oct 2023	113	14	0	127
Nov 2023	123	8	0	131
Dec 2023	20	7	1	28
Jan 2024	14	11	1	26
Feb 2024	16	15	2	33
Mar 2024	17	22	1	40
Apr 2024	35	13	4	52
May 2024	19	21	1	41
Jun 2024	19	15	2	36
Jul 2024	22	15	2	39
Aug 2024	38	6	4	48
Sep 2024	16	19	2	37
Oct 2024	28	15	1	44
Nov 2024	23	18	0	41
Dec 2024	19	18	1	38
Jan 2025	35	19	0	54
Feb 2025	50	19	2	71
Mar 2025	29	23	3	55
Apr 2025	33	16	0	49
May 2025	22	14	0	36
Jun 2025	51	21	2	74
Jul 2025	98	26	1	125
Aug 2025	61	18	0	79
Sep 2025	24	16	0	40
Oct 2025	28	27	1	56
Nov 2025	41	45	5	91
Dec 2025	44	36	8	88
Jan 2026	58	30	11	99
Feb 2026	43	18	4	65
Mar 2026	31	7	1	39

Latest update: 18 Mar 2026

Short summary

This research presents a new framework for evaluating potential landslide activity in near real time. This system was implemented in Central America and the Caribbean by integrating a regional susceptibility map and satellite-based rainfall estimates into a binary decision tree, considering both daily and antecedent rainfall. The model demonstrates the capability to use free, globally available satellite products for near real-time regional landslide hazard assessment and situational awareness.