The Landslide-EVO team carrying out fieldwork in Nepal

Landslide-EVO is working to develop an existing flood early warning system in Nepal into a multi-hazard early warning system that also supports resilience to landslides. The project is producing highly detailed landslide risk maps, based on data from satellite imagery and from sensor networks which monitor environmental conditions, and using a “citizen science” approach to build community disaster resilience through participation, in order to reduce the risk of landslides.

Project partners



Role in SHEAR

  • Developing participatory approaches and citizen-science-based methods to increase resilience to hydrologically induced landslide and flood hazards.
  • Drawing on recent scientific insights in the governance of natural resources, specifically on the use of polycentric approaches to data collection and knowledge generation.

Landslides in Nepal

Nepal's prevalence of steep slopes, fragile geology, high intensity of rainfall and high risk of flooding and earthquakes contribute to its vulnerability to landslides.

Human activity including deforestation, unplanned settlements, encroachment onto vulnerable land slopes, and improper construction of infrastructure such as roads and irrigation canals exacerbate the vulnerability of communities.

On average, 128 people lose their lives, 37 people are injured and 16 people go missing annually in Nepal due to landslides. Every year, 469 houses are fully destroyed and 353 houses are damaged, and communities incur significant loss of agriculture and livestock[1].


Landslide-EVO is working to reduce the risk of hydrologically induced landslides and build disaster resilience in mountainous regions by:

  • conducting state-of-the art research on the physical and social processes that determine hazard, exposure and vulnerability
  • applying new technologies in sensing, data processing and communication of information to local and regional stakeholders
  • developing new insights into polycentric risk governance, knowledge co-generation, and disaster resilience


  • Using citizen science and participatory approaches to generate knowledge, which will increase local disaster resilience.
  • Mapping and modelling landslide risk and vulnerability along the Seti River in the Karnali Basin.
  • Generating maps and forecasting landslide triggers by combining satellite data with community-based environmental sensing.
  • Developing new, web-based methods for data processing and modelling, which will assimilate multiple data sources for local early-warning systems.
  • Disseminating project knowledge throughout South Asia.


  • Identifying and developing major technological solutions that strongly support a polycentric approach to disaster risk reduction, supporting the institutional diversity that strengthens resilience while maximising efficiency and compatibility, and enabling local responsiveness.
  • Generating site-specific information with local buy-in for data-scarce regions by complementing official monitoring networks and remote sensing with citizen science and participatory monitoring, enabling ground-based observations such as rainfall, river flows, soil properties and disaster damages.
  • Utilising emerging open-source, cloud-based, risk-analysis platforms to build polycentric early-warning systems and virtual observatories that allow more diversified and tailored access, and support the combining, updating and replacing of different hazard and risk models.

[1] Technical report on Economic Impact Assessment of Sindhupalchowk landslides in Nepal, Practical Action, 2015.