1University of Lausanne, ISTE – Institut des Sciences de la Terre, Faculté
des géosciences et de l'environnement, Lausanne, Switzerland
2Department of Civil Engineering, Institute of Engineering, Tribhuvan University, Kathmandu, Nepal
Received: 12 Aug 2016 – Discussion started: 29 Aug 2016
Abstract. Regional landslide assessments and mapping have been effectively pursued by research institutions, national and local governments, non-governmental organizations (NGOs), and different stakeholders for some time, and a wide range of methodologies and technologies have consequently been proposed. Land-use mapping and hazard event inventories are mostly created by remote-sensing data, subject to difficulties, such as accessibility and terrain, which need to be overcome. Likewise, landslide data acquisition for the field navigation can magnify the accuracy of databases and analysis. Open-source Web and mobile GIS tools can be used for improved ground-truthing of critical areas to improve the analysis of hazard patterns and triggering factors. This paper reviews the implementation and selected results of a secure mobile-map application called ROOMA (Rapid Offline–Online Mapping Application) for the rapid data collection of landslide hazard and risk. This prototype assists the quick creation of landslide inventory maps (LIMs) by collecting information on the type, feature, volume, date, and patterns of landslides using open-source Web-GIS technologies such as Leaflet maps, Cordova, GeoServer, PostgreSQL as the real DBMS (database management system), and PostGIS as its plug-in for spatial database management. This application comprises Leaflet maps coupled with satellite images as a base layer, drawing tools, geolocation (using GPS and the Internet), photo mapping, and event clustering. All the features and information are recorded into a GeoJSON text file in an offline version (Android) and subsequently uploaded to the online mode (using all browsers) with the availability of Internet. Finally, the events can be accessed and edited after approval by an administrator and then be visualized by the general public.
Revised: 14 Mar 2017 – Accepted: 21 Mar 2017 – Published: 13 Apr 2017
Olyazadeh, R., Sudmeier-Rieux, K., Jaboyedoff, M., Derron, M.-H., and Devkota, S.: An offline–online Web-GIS Android application for fast data acquisition of landslide hazard and risk, Nat. Hazards Earth Syst. Sci., 17, 549-561, doi:10.5194/nhess-17-549-2017, 2017.