Analysis and Prediction of Landslide using Drone Image and GIS Techniques- Case Study Aranayaka Area
Research Article- DOI: 10.23953/cloud.ijarsg.497
Keywords:Land Slide; GIS; Drone image; Satellite Image; Disaster Management
Occurrence of Landslides has become a major impact considering the damage a landslide can do in a quick time. Among the natural hazards the country is exposed up to now, severe landslides are the upcoming major issue since it can affect to the lives of people too. In this case study from Aranayaka area, a method is developed to analyses and identify landslide prone areas. The methodology of the research includes collecting terrain data, building a model using geographic information system (GIS), satellite image processing, preparation of a landslide susceptibility potential map and giving recommendations on the landslide hazards. Among the factors that influence a landslide such as drainage, bedrock condition, slope angle range, land forms and etc. (published by National Building Research Organization), the foremost controllable and mostly varying factor. In this research, landslide prone areas are identified using the land use data. Identification of landslide hazards plays an important role in disaster management and risk controlling since a severe landslide can affect several aspects such as human lives, agricultural aspects, economic activities and transportation. This paper includes the background of the entire research that has developed up to current situation. This method can be used around the world as well as in the country.
Keywords Land Slide; GIS; Drone image; Satellite Image; Disaster Management
How to Cite
Copyright (c) 2021 International Journal of Advanced Remote Sensing and GIS
This work is licensed under a Creative Commons Attribution 4.0 International License.