DATABASE ORGANISATION in A WEB-ENABLED FREE and OPEN-SOURCE SOFTWARE (FOSS) ENVIRONMENT for SPATIO-TEMPORAL LANDSLIDE MODELLING

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Abstract

Landslides exhibit themselves in different mass movement processes and are considered among the most complex natural hazards occurring on the earth surface. Making landslide database available online via WWW (World Wide Web) promotes the spreading and reaching out of the landslide information to all the stakeholders. The aim of this research is to present a comprehensive database for generating landslide hazard scenario with the help of available historic records of landslides and geo-environmental factors and make them available over the Web using geospatial Free & Open Source Software (FOSS). FOSS reduces the cost of the project drastically as proprietary software's are very costly. Landslide data generated for the period 1982 to 2009 were compiled along the national highway road corridor in Indian Himalayas. All the geo-environmental datasets along with the landslide susceptibility map were served through WEBGIS client interface. Open source University of Minnesota (UMN) mapserver was used as GIS server software for developing web enabled landslide geospatial database. PHP/Mapscript server-side application serve as a front-end application and PostgreSQL with PostGIS extension serve as a backend application for the web enabled landslide spatio-temporal databases. This dynamic virtual visualization process through a web platform brings an insight into the understanding of the landslides and the resulting damage closer to the affected people and user community. The landslide susceptibility dataset is also made available as an Open Geospatial Consortium (OGC) Web Feature Service (WFS) which can be accessed through any OGC compliant open source or proprietary GIS Software.

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APA

Das, I., Oberai, K., & Sarathi Roy, P. (2012). DATABASE ORGANISATION in A WEB-ENABLED FREE and OPEN-SOURCE SOFTWARE (FOSS) ENVIRONMENT for SPATIO-TEMPORAL LANDSLIDE MODELLING. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 1, pp. 293–298). Copernicus GmbH. https://doi.org/10.5194/isprsannals-I-4-293-2012

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