Shifting ground: Landslide risk mitigation through community-based landscape interventions

Claghorn, Joseph; Werthmann, Christian

doi:10.1080/18626033.2015.1011419

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…The valley itsself has a 10 km maximum width and the height difference between the highest and lowest point is about 1 km (Garcia Ferrari et al, 2018;Hernandez Palacio, 2012). These characteristics lead to a very steep topography of the valley slopes in the east and west with a signi cant landslide risk (Claghorn & Werthmann 2015).…”

Section: Methodsmentioning

confidence: 99%

Multitemporal Landslide Exposure And Vulnerability Assessment In Medellín, Colombia

Kühnl¹,

Sapena

Wurm

et al. 2022

Preprint

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Landslides are often deadly natural events. Steep slopes and certain loose soil types are predestined areas for them. Moreover, in the context of climate change, extreme weather events such as heavy rainfall, which often trigger landslides, are becoming even more likely. All this is well known. It therefore stands to reason that this knowledge will lead to the avoidance of these risks. On the other hand, however, there are highly dynamic urbanization processes which often overtake formal urban planning processes by rising population figures and areal expansion. In the course of these processes, economically-deprived population groups often have no other option than to informally build on high-risk areas. Against these backgrounds, we systematically examine in this study how these risks develop over a 24 years’ time period with respect to the city-wide exposure and in particular with respect to different social groups. For this purpose, we use heterogeneous input data from remote sensing, hazard maps and census data. Our case study is the city of Medellín in Colombia. We develop and apply a set of methods integrating the heterogenous data sets to map, quantify and monitor exposure and social vulnerability at a finer spatial resolution than administrative units. Our results document first of all the highly dynamic growth in total population and urban areas. However, our results reveal that the city's expansion is socially unevenly distributed. People of higher vulnerability proxied by informal settlements are found to settle in significantly more areas exposed to landslides. This study proposes a methodological set-up that allows to monitor exposure and social vulnerability over long time spans, allows to bring inequality into the spotlight and provide decision makers with better information to develop socially responsible policies.

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Section: Methodsmentioning

confidence: 99%

Multitemporal Landslide Exposure And Vulnerability Assessment In Medellín, Colombia

Kühnl¹,

Sapena

Wurm

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The east side, which is the riskiest for human settlements due to its soil composition mainly based on fractured and structurally weak dunitic rock, is at the same time the most attractive for the population. This occurs due to its proximity to the city centre, roads, public utilities and to existing non-formal settlements (Claghorn & Werthmann, 2015). Figures 1 and 2 were recently made at the east side of the valley and should give the reader an idea about the settlements that have been built in this area.…”

Section: Case Study Area: Informal Settlements Of Medellín Colombiamentioning

confidence: 99%

“…It is only when conducting a detailed risk assessment at the slope level in informal areas that high resolution data is missing. Furthermore, there are previous studies that address particular slopes in informal areas in the Aburrá Valley and one of them dedicated to risk mitigation through community-based landscape interventions (Claghorn & Werthmann, 2015) is one of the main motivations for Inform@Risk.…”

Section: An Integrated Landslide Early Warning System For Informal Sementioning

confidence: 99%

Can Geoinformation Help to Better Protect Informal Settlements? - A Concept for the City of Medellin

Dorner

Camargo

Hofmann

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> New contributions to disaster research need to address the increasing vulnerability of informal settlements in a changing climate situation. Informal settlements are frequently built in hazardous areas and are often left out of traditional disaster risk management concepts. Hence, formal and informal societal structures, as well as technical systems to warn against, handle or mitigate natural hazards, need to evolve. Within the project Inform@Risk we are addressing these issues based on a case study in Medellín (Colombia). Here, as a result of civil conflicts informal dwellings were partly constructed by people displaced from rural areas. They are mainly located in the urban peripheral areas along steep and unstable slopes, where the resettlement of all inhabitants at risk of landslides is unfeasible. This contribution presents the technical infrastructure and the concept to incorporate geodata from different sources in an integrated landslide early warning system for some selected informal settlements of Medellin. Special attention is given to possibilities on how building societal institutions, supported by information systems, increases local resilience. Using geoformation as a basis, we will combine classical participatory planning methods with digitally assisted concepts. These include combining satellite and UAS based remote sensing data with terrestrial sensor networks, crowd sourcing and citizen science to collect volunteered geographic information about the settlement and its environmental parameters, as well as distribute this information and disseminate warnings to the local population.</p>

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“…The uncontrolled, informal growth expanded the city into highly inaccessible areas on the steep slopes. Frequently occurring heavy rainfall events and the bedrock consisting of weak and highly erosive rocks make these informal settlements of low-quality building fabric highly prone to landslide hazards [2]. To counter the prevailing risk by targeted mitigation strategies, it is important to know where the areas at risk are and how many people would be affected in case of a landslide event.…”

Section: Introductionmentioning

confidence: 99%

Revealing landslide exposure of informal settlements in Medellín using Deep Learning

Wurm

Tubbesing

Stark

et al. 2023

2023 Joint Urban Remote Sensing Event (JURSE)

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Large areas of informal settlements on the slopes of Medellín are exposed to landslide risk, but there exists no accurate and up-to date data set on the location and size of informal areas. It is thus difficult to develop mitigation strategies to reduce the risk for the local population. Here, we tackle the issue of inaccurate geodata and apply a CNN for the extraction of individual building footprints from orthophotos. With it we achieve a more reliable data base for a more precise estimation of the amount of exposed population in informal areas towards landslides.

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Shifting ground: Landslide risk mitigation through community-based landscape interventions

Cited by 8 publications

References 3 publications

Multitemporal Landslide Exposure And Vulnerability Assessment In Medellín, Colombia

Multitemporal Landslide Exposure And Vulnerability Assessment In Medellín, Colombia

Can Geoinformation Help to Better Protect Informal Settlements? - A Concept for the City of Medellin

Revealing landslide exposure of informal settlements in Medellín using Deep Learning

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