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Assessing the effectiveness of a social vulnerability index in predicting heterogeneity in the impacts of natural hazards: Case study of the Tropical Storm Washi flood in the Philippines

J. Andres F. Ignacio, Grace T. Cruz, Fernando Nardi, Sabine Henry
2016 Vienna Yearbook of Population Research  
To address these research challenges, we developed in this study social vulnerability indices at the most basic level of governance in the Philippines using raw, individual-level census data for the entire  ...  We find that exposure rather than vulnerability appears to play a greater role in the magnitude of the losses and damages resulting from this particular type of hazard at the localized scale.  ...  An ex-post validation of how social vulnerability and exposure determine flood impact at a detailed geographical level using the case study areas of Iligan and Cagayan de Oro Cities has revealed that the  ... 
doi:10.1553/populationyearbook2015s091 fatcat:mz5ubyyumrezxlm2y4mlft5yle

Understanding risk: what makes a risk assessment successful?

Richard Murnane, Alanna Simpson, Brenden Jongman
2016 International Journal of Disaster Resilience in the Built Environment  
In the Philippines, a state-of-the-art technological approach to collecting exposure data was used on an urban scale as part of the Greater Metro Manila Risk Assessment Project (GMMA RAP).  ...  has developed a range of models for assessing flood hazard, flood exposure, and flood risk at the global scale. 81 These are being used to assess and map the current risk faced by countries and societies  ...  Taken as a group, these case studies evidence the need for continued investment in accurate and useful risk information and provide recommendations for the future.  ... 
doi:10.1108/ijdrbe-06-2015-0033 fatcat:v3qekkinbzfwhagau5bmars4fe

Shoreline Solutions: Guiding Efficient Data Selection for Coastal Risk Modeling and the Design of Adaptation Interventions

Montserrat Acosta-Morel, Valerie Pietsch McNulty, Natainia Lummen, Steven R. Schill, Michael W. Beck
2021 Water  
However, we also identify that, with this general rule of thumb in mind, cost-effective, national data can be used by planners in the absence of high-resolution data to support adaptation action planning  ...  We then examine how their use can affect the evaluation of the number of people and the value of infrastructure flooded in a typical sea level rise/flooding assessment.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/w13060875 fatcat:dg3owomirzh5lkrfcjyszlrlvm

An Open Data Approach to Mapping Urban Drainage Infrastructure in Developing Communities

Lay Shien See, Luke Calo, Benjamin Bannon, Aaron Opdyke
2020 Water  
The research draws on a case study from the Philippines, which sought to conduct rapid elevation surveys and drainage assessments employing open source geographical information system (GIS) tools.  ...  Urban flooding in developing countries represents a growing threat to sustainable development efforts, yet the tools needed to study these infrastructure systems in data-scarce environments are woefully  ...  Acknowledgments: We wish to thank the Carigara Municipal Disaster Risk Reduction and Management Office for their assistance in collecting the data and for their support.  ... 
doi:10.3390/w12071880 fatcat:pgpgtu5blfblbg3z2q4vupfeau

Estimating population and urban areas at risk of coastal hazards, 1990–2015: how data choices matter

Kytt MacManus, Deborah Balk, Hasim Engin, Gordon McGranahan, Rya Inman
2021 Earth System Science Data  
This characterization of potential exposure depends on robust representations not only of coastal elevation and spatial population data but also of settlements along the urban–rural continuum.  ...  We estimate that between 750 million and nearly 1.1 billion persons globally, in 2015, live in the ≤ 10 m LECZ, with the variation depending on the elevation and population data sources used.  ...  We thank Sarah Colenbrander, Leah Lazer and Catlyne Haddaoui for their support and engagement especially during the preparation of early estimates produced for the Coalition for Urban Transitions report  ... 
doi:10.5194/essd-13-5747-2021 fatcat:43cyls4bn5dzhb6k52655pafcm

Reviews of Geospatial Information Technology and Collaborative Data Delivery for Disaster Risk Management

Hiroyuki Miyazaki, Masahiko Nagai, Ryosuke Shibasaki
2015 ISPRS International Journal of Geo-Information  
Due to the fact that recovery progress mostly appears on a very fine scale (e.g., removal of debris and the reconstruction of buildings) in the recovery phases, high-resolution satellite images are needed  ...  For DRM purposes, high-rate GPS positioning at base stations can help model seismic dynamics [66] [67] [68] .  ...  For example, for climate change mitigation and adaptation, which involve a large-scale policy implementation, EO data are used for long-term monitoring and for modeling the interactions between climate  ... 
doi:10.3390/ijgi4041936 fatcat:ke6wmxxcnjavjjrbjn7fpyrr3q

Google Earth Engine for Large-Scale Flood Mapping Using SAR Data and Impact Assessment on Agriculture and Population of Ganga-Brahmaputra Basin

Arvind Chandra Pandey, Kavita Kaushik, Bikash Ranjan Parida
2022 Sustainability  
The Ganga-Brahmaputra basin is highly sensitive to the impacts of climate change and experiences recurrent flooding, which affects large agricultural areas and poses a high risk to the population.  ...  The study provided a holistic spatial assessment of flood inundation in the region due to the combined impact of the Ganga-Brahmaputra River basin.  ...  The open-access Sentinel-1 data with geospatial techniques have been widely used and provide an immediate assessment for the flood disaster.  ... 
doi:10.3390/su14074210 fatcat:qbbozetfdrgshpsjwgsinnt7qi

Agent-based modelling of post-disaster recovery with remote sensing data

Saman Ghaffarian, Debraj Roy, Tatiana Filatova, Norman Kerle
2021 International Journal of Disaster Risk Reduction  
In this study, we develop an agent-based model to simulate and explore the PDR process in urban areas of Tacloban, the Philippines devastated by Typhoon Haiyan in 2013.  ...  The physical aspects of the recovery are relatively easy to monitor and evaluate using, e.g. geospatial remote sensing data compared to functional assessments that include social and economic processes  ...  Acknowledgements The satellite images were provided by the European Space Agency, and Digital Globe Foundation, which was granted for a project at ITC entitled "Post-disaster recovery assessment using  ... 
doi:10.1016/j.ijdrr.2021.102285 fatcat:spox5ofwyngx5giz3wdvav4tua

Implementing Open Data Strategies for Climate Action: Suggestions And Lessons Learned for Government and Civil Society Stakeholders

Delfina Grinspan, Jesse Worker
2021 WRI Publications  
urban flood risk management Another way to tackle lack of awareness is to engage data providers at all stages of open data projects and data reutilizations to build trust and greater understanding of  ...  Ensuring access to national-and local-level data enables national and local modelers to downscale larger- scale climate models.  ...  The effectiveness and long-term viability of these strategies require the awareness and engagement of local communities.  ... 
doi:10.46830/wriwp.19.00093 fatcat:i6fwenh23rbljgh6k46stqqewq

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Feifei Zheng, Ruoling Tao, Holger R. Maier, Linda See, Dragan Savic, Tuqiao Zhang, Qiuwen Chen, Thaine H. Assumpção, Pan Yang, Bardia Heidari, Jörg Rieckermann, Barbara Minsker (+4 others)
2018 Reviews of Geophysics  
change and urbanization.  ...  ability to increase the spatial and/or temporal resolution of data significantly.  ...  Acknowledgments, Samples, and Data Professor Feifei Zheng  ... 
doi:10.1029/2018rg000616 fatcat:365pv43nbvdrvbpt6elmlmpmca

Enhancement of large-scale flood damage assessments using building-material-based vulnerability curves for an object-based approach

Johanna Englhardt, Hans de Moel, Charles K. Huyck, Marleen C. de Ruiter, Jeroen C. J. H. Aerts, Philip J. Ward
2019 NHESSD  
We further present a method to differentiate flood risk in urban and rural areas based on characteristics of the built environment.  ...  </strong> In this study, we developed an enhanced approach for large-scale flood damage and risk assessments that uses characteristics of buildings and the built environment as object-based information  ...  In the Ethiopian data nine of these types occur. Most large-scale flood assessments focus on urban areas as due to the availability of data and high potential damages.  ... 
doi:10.5194/nhess-2019-32 fatcat:6gaupr6zmbfffmhaazytsqui6e

BEYOND FLOOD HAZARD MAPS: DETAILED FLOOD CHARACTERIZATION WITH REMOTE SENSING, GIS AND 2D MODELLING

J. R. Santillan, J. T. Marqueso, M. Makinano-Santillan, J. L. Serviano
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The generation of these new flood characteristic layers is illustrated using the Cabadbaran River Basin in Mindanao, Philippines as case study area.  ...  In the Philippines, Remote Sensing (RS) and Geographic Information System (GIS) are two main technologies used in the nationwide modelling and mapping of flood hazards.  ...  The SAR DEM and the LiDAR DTM and DSM including the river bathymetric data used in this work were provided by the University of the Philippines Disaster Risk and Exposure for Mitigation (UP DREAM)/Phil-LIDAR  ... 
doi:10.5194/isprs-archives-xlii-4-w1-315-2016 fatcat:yyj5urhlb5donkvqwq4xx7vraq

Enhancement of large-scale flood risk assessments using building-material-based vulnerability curves for an object-based approach in urban and rural areas

Johanna Englhardt, Hans de Moel, Charles K. Huyck, Marleen C. de Ruiter, Jeroen C. J. H. Aerts, Philip J. Ward
2019 Natural Hazards and Earth System Sciences  
We further present a method to differentiate flood risk in urban and rural areas based on characteristics of the built environment.  ...  </strong> In this study, we developed an enhanced approach for large-scale flood damage and risk assessments that uses characteristics of buildings and the built environment as object-based information  ...  We thank the editor James Daniell and the two anonymous reviewers for their very valuable comments. Review statement. This paper was edited by James Daniell and reviewed by two anonymous referees.  ... 
doi:10.5194/nhess-19-1703-2019 fatcat:r3sux63w25d4djtzpnhfn67x2q

Regional tropical cyclone impact functions for globally consistent risk assessments

Samuel Eberenz, Samuel Lüthi, David N. Bresch
2021 Natural Hazards and Earth System Sciences  
While using wind as a proxy for tropical cyclone hazard proves to be a valid approach in general, the case of the Philippines reveals limitations of the model and calibration due to the lack of an explicit  ...  To better understand the challenges in the West Pacific and to complement the global perspective of this study, we explore uncertainties and limitations entailed in the modeling setup for the case of the  ...  We would like to thank Gabriela Aznar-Siguan for her input regarding the platform CLIMADA and the implementation of the TC impact model in Python.  ... 
doi:10.5194/nhess-21-393-2021 fatcat:rinc3e4qyjhb3ndakt4wuqkl34

Applying the FFP Approach to Wider Land Management Functions

Kathrine Kelm, Sarah Antos, Robin McLaren
2021 Land  
The paper examines the innovative use of these emerging technologies to identify a common set of data capture techniques and geospatial data that can be shared across a range of urban land administration  ...  A case study methodology, using three case studies, is used to determine if the case study approaches meet the FFP criteria.  ...  Acknowledgments: The authors would like to thank Stig Enemark for encouraging the publication of this paper, Simon Willis for providing help with the references and William Mackaness for providing excellent  ... 
doi:10.3390/land10070723 fatcat:nw5ccreldfenhosvuyahppgziy
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