MARLI: a mobile application for regional landslide inventories in Ecuador

• DOI: 10.1007/s10346-021-01764-9
• Publication Date: 2021-09-17T19:11:41Z
• Authors: Chester Andrew Se...; Sandra Buján; David Miranda
• Keywords: Vulnerability; Natural hazard

[EN] The regions of Central and South America most susceptible to the occurrence of landslides will become even more vulnerable in the context of climate change. The Josefina disaster, in 1993, demonstrated both the vulnerability of local infrastructures and communities in the Paute River basin (Ecuador). Since this natural phenomena, several landslide inventories and susceptibility studies were developed, revealing the vulnerability of the Paute River basin to unstable terrain and the need for further studies throughout the basin. Despite this, no studies have been done since then to update the information generated. This paper describes a Mobile Application for Regional Landslide Inventories (MARLI), a simple but efficient open-access platform to report landslide events using the Open Data Kit system. Its design makes reporting fast, simple and cost-effective with an added benefit, and a specialized knowledge is not required for its use. MARLI was tested for the collection of landslides in Cuenca (Ecuador). From the data taken in the field, it was possible to analyze the performance and suitability of collected data and compare the results with regional inventories in the same area. Additionally, these results can be used for the elaboration and update of large-scale inventories or the training of automatic identification systems of landslides and later evaluation of their precision in a small-medium scale. Likewise, this product constitutes a fundamental input for the formulation of mitigation strategies, to formulate the appropriate response and in time, also the elaboration of reconstruction plans before the increase in the occurrence of such phenomena<br/>This study was supported by the Land Laboratory Research Group (G.I.-1934-TB) (Universidade de Santiago de Compostela, Spain) and the University of Azuay (Cuenca, Ecuador) (Project No: 2016-53).<br/>SI<br/>