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.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-2769-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Dec 2016
Research article |
| 19 Dec 2016
Assessing population exposure for landslide risk analysis using dasymetric cartography
Ricardo A. C. Garcia
CORRESPONDING AUTHOR
Centre for Geographical Studies, Institute of Geography and Spatial Planning, Universidade de Lisboa, Lisbon, 1600-276, Portugal
Sérgio C. Oliveira
Centre for Geographical Studies, Institute of Geography and Spatial Planning, Universidade de Lisboa, Lisbon, 1600-276, Portugal
José L. Zêzere
Centre for Geographical Studies, Institute of Geography and Spatial Planning, Universidade de Lisboa, Lisbon, 1600-276, Portugal
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Cited
20 citations as recorded by crossref.
- Integrated landslide disaster risk management (ILDRiM): the challenge to avoid the construction of new disaster risk I. Alcántara-Ayala 10.1080/17477891.2020.1810609
- Wildfire Risk Levels at the Local Scale: Assessing the Relative Influence of Hazard, Exposure, and Social Vulnerability R. Bergonse et al. 10.3390/fire5050166
- Assessment of Urban Subsidence in the Lisbon Metropolitan Area (Central-West of Portugal) Applying Sentinel-1 SAR Dataset and Active Deformation Areas Procedure J. Cuervas-Mons et al. 10.3390/rs14164084
- Regionalization and susceptibility assessment to daily precipitation extremes in mainland Portugal M. Santos et al. 10.1016/j.apgeog.2017.06.020
- Cost estimation for the monitoring instrumentation of landslide early warning systems M. Sapena et al. 10.5194/nhess-23-3913-2023
- A hazard-human coupled model (HazardCM) to assess city dynamic exposure to rainfall-triggered natural hazards Q. Dai et al. 10.1016/j.envsoft.2020.104684
- Land Take and Landslide Hazard: Spatial Assessment and Policy Implications from a Study Concerning Sardinia F. Isola et al. 10.3390/land12020359
- Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change Q. Lin et al. 10.1029/2023EF003741
- Defining evacuation travel times and safety areas in a debris flow hazard scenario R. Melo et al. 10.1016/j.scitotenv.2019.136452
- Editorial to the special issue on resilience and vulnerability assessments in natural hazard and risk analysis S. Fuchs et al. 10.5194/nhess-17-1203-2017
- Estimating Hilly Areas Population Using a Dasymetric Mapping Approach: A Case of Sri Lanka’s Highest Mountain Range A. Karunarathne & G. Lee 10.3390/ijgi8040166
- Mapping landslide susceptibility using data-driven methods J. Zêzere et al. 10.1016/j.scitotenv.2017.02.188
- Comparing the suitability of global gridded population datasets for local landslide risk assessments A. Opdyke & K. Fatima 10.1007/s11069-023-06283-5
- An integrated approach for landslide susceptibility–vulnerability–risk assessment of building infrastructures in hilly regions of India A. Singh et al. 10.1007/s10668-020-00804-z
- Review article: The spatial dimension in the assessment of urban socio-economic vulnerability related to geohazards D. Contreras et al. 10.5194/nhess-20-1663-2020
- A low-cost toolbox for high-resolution vulnerability and hazard-perception mapping in view of tsunami risk mitigation: Application to New Caledonia B. Thomas et al. 10.1016/j.ijdrr.2021.102350
- Multitemporal landslide exposure and vulnerability assessment in Medellín, Colombia M. Kühnl et al. 10.1007/s11069-022-05679-z
- Understanding flood risk in urban environments: spatial analysis of building vulnerability and hazard areas in the Lisbon metropolitan area P. Santos et al. 10.1007/s11069-024-06731-w
- Regional-scale landslide risk assessment in Central Asia F. Caleca et al. 10.5194/nhess-24-13-2024
- Combining Social Vulnerability and Physical Vulnerability to Analyse Landslide Risk at the Municipal Scale C. Guillard-Gonçalves & J. Zêzere 10.3390/geosciences8080294
20 citations as recorded by crossref.
- Integrated landslide disaster risk management (ILDRiM): the challenge to avoid the construction of new disaster risk I. Alcántara-Ayala 10.1080/17477891.2020.1810609
- Wildfire Risk Levels at the Local Scale: Assessing the Relative Influence of Hazard, Exposure, and Social Vulnerability R. Bergonse et al. 10.3390/fire5050166
- Assessment of Urban Subsidence in the Lisbon Metropolitan Area (Central-West of Portugal) Applying Sentinel-1 SAR Dataset and Active Deformation Areas Procedure J. Cuervas-Mons et al. 10.3390/rs14164084
- Regionalization and susceptibility assessment to daily precipitation extremes in mainland Portugal M. Santos et al. 10.1016/j.apgeog.2017.06.020
- Cost estimation for the monitoring instrumentation of landslide early warning systems M. Sapena et al. 10.5194/nhess-23-3913-2023
- A hazard-human coupled model (HazardCM) to assess city dynamic exposure to rainfall-triggered natural hazards Q. Dai et al. 10.1016/j.envsoft.2020.104684
- Land Take and Landslide Hazard: Spatial Assessment and Policy Implications from a Study Concerning Sardinia F. Isola et al. 10.3390/land12020359
- Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change Q. Lin et al. 10.1029/2023EF003741
- Defining evacuation travel times and safety areas in a debris flow hazard scenario R. Melo et al. 10.1016/j.scitotenv.2019.136452
- Editorial to the special issue on resilience and vulnerability assessments in natural hazard and risk analysis S. Fuchs et al. 10.5194/nhess-17-1203-2017
- Estimating Hilly Areas Population Using a Dasymetric Mapping Approach: A Case of Sri Lanka’s Highest Mountain Range A. Karunarathne & G. Lee 10.3390/ijgi8040166
- Mapping landslide susceptibility using data-driven methods J. Zêzere et al. 10.1016/j.scitotenv.2017.02.188
- Comparing the suitability of global gridded population datasets for local landslide risk assessments A. Opdyke & K. Fatima 10.1007/s11069-023-06283-5
- An integrated approach for landslide susceptibility–vulnerability–risk assessment of building infrastructures in hilly regions of India A. Singh et al. 10.1007/s10668-020-00804-z
- Review article: The spatial dimension in the assessment of urban socio-economic vulnerability related to geohazards D. Contreras et al. 10.5194/nhess-20-1663-2020
- A low-cost toolbox for high-resolution vulnerability and hazard-perception mapping in view of tsunami risk mitigation: Application to New Caledonia B. Thomas et al. 10.1016/j.ijdrr.2021.102350
- Multitemporal landslide exposure and vulnerability assessment in Medellín, Colombia M. Kühnl et al. 10.1007/s11069-022-05679-z
- Understanding flood risk in urban environments: spatial analysis of building vulnerability and hazard areas in the Lisbon metropolitan area P. Santos et al. 10.1007/s11069-024-06731-w
- Regional-scale landslide risk assessment in Central Asia F. Caleca et al. 10.5194/nhess-24-13-2024
- Combining Social Vulnerability and Physical Vulnerability to Analyse Landslide Risk at the Municipal Scale C. Guillard-Gonçalves & J. Zêzere 10.3390/geosciences8080294
Latest update: 13 Nov 2024
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.
Assessing the numbers and locations of exposed people is crucial in landslide risk management...
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