Articles | Volume 17, issue 4
Nat. Hazards Earth Syst. Sci., 17, 549–561, 2017
Nat. Hazards Earth Syst. Sci., 17, 549–561, 2017

Research article 13 Apr 2017

Research article | 13 Apr 2017

An offline–online Web-GIS Android application for fast data acquisition of landslide hazard and risk

Roya Olyazadeh1, Karen Sudmeier-Rieux1, Michel Jaboyedoff1, Marc-Henri Derron1, and Sanjaya Devkota2 Roya Olyazadeh et al.
  • 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

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.

Short summary
This work shows the progress and testing of an online–offline web-GIS application based on open-source technologies for landslide hazard and risk. It has satellite images as a base map in the offline mode and data collection in a centralized online database. The advantage of a mobile app coupled with satellite images over mapping in the office is improved identification of landslide type. This study was used for landslides in Nepal, but it can also be useful for other hazards like floods.
Final-revised paper