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

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Total article views: 4,820 (including HTML, PDF, and XML)

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XML: 148
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Views and downloads (calculated since 29 Apr 2015)

Month	HTML	PDF	XML	Total
Apr 2015	28	25	2	55
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Jul 2015	15	6	0	21
Aug 2015	9	7	2	18
Sep 2015	12	5	0	17
Oct 2015	72	61	5	138
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Jan 2016	38	26	1	65
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Jul 2016	5	6	2	13
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Sep 2016	10	14	0	24
Oct 2016	11	32	0	43
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Jan 2017	16	9	0	25
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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
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Nov 2024	23	18	0	41
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Jan 2025	35	19	0	54
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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
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Aug 2024	38	6	4	48
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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	37	43	4	84

Latest update: 29 Nov 2025

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.