Assessing population exposure for landslide risk analysis using dasymetric cartography

Garcia, Ricardo A. C.; Oliveira, Sérgio C.; Zêzere, José L.

doi:10.5194/nhess-16-2769-2016

Articles | Volume 16, issue 12

https://doi.org/10.5194/nhess-16-2769-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Resilience and vulnerability assessments in natural hazards...

https://doi.org/10.5194/nhess-16-2769-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 12

Research article

|

19 Dec 2016

Research article |

| 19 Dec 2016

Assessing population exposure for landslide risk analysis using dasymetric cartography

Ricardo A. C. Garcia, Sérgio C. Oliveira, and José L. Zêzere

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Views and downloads (calculated since 07 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	46	31	4	81
Jul 2016	11	6	2	19
Aug 2016	18	2	0	20
Sep 2016	9	5	0	14
Oct 2016	6	5	1	12
Nov 2016	5	6	1	12
Dec 2016	41	15	0	56
Jan 2017	89	47	0	136
Feb 2017	42	25	6	73
Mar 2017	28	48	0	76
Apr 2017	17	47	0	64
May 2017	24	20	2	46
Jun 2017	20	18	0	38
Jul 2017	23	21	0	44
Aug 2017	9	22	3	34
Sep 2017	16	15	0	31
Oct 2017	5	16	1	22
Nov 2017	16	18	0	34
Dec 2017	17	20	3	40
Jan 2018	19	32	1	52
Feb 2018	9	13	3	25
Mar 2018	15	15	0	30
Apr 2018	6	5	1	12
May 2018	10	9	1	20
Jun 2018	17	19	2	38
Jul 2018	10	19	1	30
Aug 2018	24	16	2	42
Sep 2018	15	19	2	36
Oct 2018	17	15	3	35
Nov 2018	12	17	2	31
Dec 2018	11	22	0	33
Jan 2019	9	15	0	24
Feb 2019	9	14	0	23
Mar 2019	11	21	0	32
Apr 2019	6	18	0	24
May 2019	12	13	0	25
Jun 2019	8	20	2	30
Jul 2019	9	22	0	31
Aug 2019	4	13	0	17
Sep 2019	5	27	0	32
Oct 2019	10	16	2	28
Nov 2019	5	10	0	15
Dec 2019	6	12	1	19
Jan 2020	4	9	4	17
Feb 2020	4	3	0	7
Mar 2020	5	10	0	15
Apr 2020	7	6	1	14
May 2020	7	6	1	14
Jun 2020	18	12	0	30
Jul 2020	23	31	8	62
Aug 2020	7	13	4	24
Sep 2020	12	5	2	19
Oct 2020	3	12	0	15
Nov 2020	9	10	0	19
Dec 2020	10	11	4	25
Jan 2021	17	8	0	25
Feb 2021	11	5	0	16
Mar 2021	10	9	1	20
Apr 2021	9	4	1	14
May 2021	5	5	1	11
Jun 2021	9	5	0	14
Jul 2021	11	13	0	24
Aug 2021	9	7	1	17
Sep 2021	8	8	0	16
Oct 2021	12	46	0	58
Nov 2021	9	34	1	44
Dec 2021	7	7	1	15
Jan 2022	12	6	1	19
Feb 2022	10	9	3	22
Mar 2022	5	13	1	19
Apr 2022	13	14	1	28
May 2022	11	6	1	18
Jun 2022	3	16	1	20
Jul 2022	2	7	1	10
Aug 2022	15	6	0	21
Sep 2022	6	11	0	17
Oct 2022	8	1	2	11
Nov 2022	23	10	1	34
Dec 2022	18	5	2	25
Jan 2023	22	8	2	32
Feb 2023	24	14	0	38
Mar 2023	14	8	3	25
Apr 2023	10	12	1	23
May 2023	34	19	4	57
Jun 2023	40	5	3	48
Jul 2023	10	4	3	17
Aug 2023	17	24	3	44
Sep 2023	3	6	0	9
Oct 2023	19	9	1	29
Nov 2023	3	1	0	4
Dec 2023	25	8	1	34
Jan 2024	19	22	1	42
Feb 2024	10	10	2	22
Mar 2024	11	24	5	40
Apr 2024	26	7	3	36
May 2024	18	14	7	39
Jun 2024	21	13	2	36
Jul 2024	15	6	4	25
Aug 2024	22	9	4	35
Sep 2024	7	23	2	32
Oct 2024	14	9	1	24
Nov 2024	8	7	2	17
Dec 2024	17	14	0	31
Jan 2025	17	8	1	26
Feb 2025	21	8	0	29
Mar 2025	16	21	1	38
Apr 2025	29	18	0	47
May 2025	22	9	0	31
Jun 2025	38	19	2	59
Jul 2025	23	22	2	47
Aug 2025	24	13	0	37
Sep 2025	22	18	1	41
Oct 2025	19	20	1	40
Nov 2025	13	17	1	31

Cumulative views and downloads (calculated since 07 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	46	31	4	81
Jul 2016	11	6	2	19
Aug 2016	18	2	0	20
Sep 2016	9	5	0	14
Oct 2016	6	5	1	12
Nov 2016	5	6	1	12
Dec 2016	41	15	0	56
Jan 2017	89	47	0	136
Feb 2017	42	25	6	73
Mar 2017	28	48	0	76
Apr 2017	17	47	0	64
May 2017	24	20	2	46
Jun 2017	20	18	0	38
Jul 2017	23	21	0	44
Aug 2017	9	22	3	34
Sep 2017	16	15	0	31
Oct 2017	5	16	1	22
Nov 2017	16	18	0	34
Dec 2017	17	20	3	40
Jan 2018	19	32	1	52
Feb 2018	9	13	3	25
Mar 2018	15	15	0	30
Apr 2018	6	5	1	12
May 2018	10	9	1	20
Jun 2018	17	19	2	38
Jul 2018	10	19	1	30
Aug 2018	24	16	2	42
Sep 2018	15	19	2	36
Oct 2018	17	15	3	35
Nov 2018	12	17	2	31
Dec 2018	11	22	0	33
Jan 2019	9	15	0	24
Feb 2019	9	14	0	23
Mar 2019	11	21	0	32
Apr 2019	6	18	0	24
May 2019	12	13	0	25
Jun 2019	8	20	2	30
Jul 2019	9	22	0	31
Aug 2019	4	13	0	17
Sep 2019	5	27	0	32
Oct 2019	10	16	2	28
Nov 2019	5	10	0	15
Dec 2019	6	12	1	19
Jan 2020	4	9	4	17
Feb 2020	4	3	0	7
Mar 2020	5	10	0	15
Apr 2020	7	6	1	14
May 2020	7	6	1	14
Jun 2020	18	12	0	30
Jul 2020	23	31	8	62
Aug 2020	7	13	4	24
Sep 2020	12	5	2	19
Oct 2020	3	12	0	15
Nov 2020	9	10	0	19
Dec 2020	10	11	4	25
Jan 2021	17	8	0	25
Feb 2021	11	5	0	16
Mar 2021	10	9	1	20
Apr 2021	9	4	1	14
May 2021	5	5	1	11
Jun 2021	9	5	0	14
Jul 2021	11	13	0	24
Aug 2021	9	7	1	17
Sep 2021	8	8	0	16
Oct 2021	12	46	0	58
Nov 2021	9	34	1	44
Dec 2021	7	7	1	15
Jan 2022	12	6	1	19
Feb 2022	10	9	3	22
Mar 2022	5	13	1	19
Apr 2022	13	14	1	28
May 2022	11	6	1	18
Jun 2022	3	16	1	20
Jul 2022	2	7	1	10
Aug 2022	15	6	0	21
Sep 2022	6	11	0	17
Oct 2022	8	1	2	11
Nov 2022	23	10	1	34
Dec 2022	18	5	2	25
Jan 2023	22	8	2	32
Feb 2023	24	14	0	38
Mar 2023	14	8	3	25
Apr 2023	10	12	1	23
May 2023	34	19	4	57
Jun 2023	40	5	3	48
Jul 2023	10	4	3	17
Aug 2023	17	24	3	44
Sep 2023	3	6	0	9
Oct 2023	19	9	1	29
Nov 2023	3	1	0	4
Dec 2023	25	8	1	34
Jan 2024	19	22	1	42
Feb 2024	10	10	2	22
Mar 2024	11	24	5	40
Apr 2024	26	7	3	36
May 2024	18	14	7	39
Jun 2024	21	13	2	36
Jul 2024	15	6	4	25
Aug 2024	22	9	4	35
Sep 2024	7	23	2	32
Oct 2024	14	9	1	24
Nov 2024	8	7	2	17
Dec 2024	17	14	0	31
Jan 2025	17	8	1	26
Feb 2025	21	8	0	29
Mar 2025	16	21	1	38
Apr 2025	29	18	0	47
May 2025	22	9	0	31
Jun 2025	38	19	2	59
Jul 2025	23	22	2	47
Aug 2025	24	13	0	37
Sep 2025	22	18	1	41
Oct 2025	19	20	1	40
Nov 2025	13	17	1	31

Latest update: 16 Nov 2025

Short summary

Assessing the numbers and locations of exposed people is crucial in landslide risk management and emergency planning. This study applies dasymetric cartography to assessing the potentially exposed population per building and comparing it with results from the basic census units. A dasymetric approach increases the spatial resolution of the population and enables the use of detailed landslide susceptibility maps, which is highly valuable for assessing the exposed population.