Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Journal of Engineering and Applied Sciences
Year: 2018  |  Volume: 13  |  Issue: 1 SI  |  Page No.: 2301 - 2308

Landslide Prediction Using Classifier Models

Sukriti Paul, Arpit Garg and S. Chethan    

Abstract: Prediction systems have been flooding the IT industry ever since the concept of information retrieval came into existence. Every organization uses one of these prediction systems which helps the users of the system to predict useful information on the basis of their past records. The landslide prediction system aims to use this concept for not just different places but different terrains as well. NASA maintains the record of the landslides that have happened in the past, this record includes details such as area, terrain, rainfall, population, vegetation cover, etc. If this data can be classified on the basis of the patterns mined, it becomes very easy for the authorities to inform the people living in a particular area about landslides or development of a colony on a landslide prone area can be avoided. Not only that, reasons for landslide occurrence can be taken note off and be avoided. For example, lack of vegetation is causing landslides in an area. If this data is provided and wisely used, lives lost can be greatly reduced. This study aims to find ways to obtain this data.

Fulltext    |   Related Articles   |   Back
   
 
 
 
  Related Articles

 
 
 
 
 
 
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility