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Landslide Hazard Zonation of Lunglei Town, Mizoram, India Using High Resolution Satellite Data


 
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1. Title Title of document Landslide Hazard Zonation of Lunglei Town, Mizoram, India Using High Resolution Satellite Data
 
2. Creator Author's name, affiliation, country R.K Lallianthanga; Mizoram Remote Sensing Application Centre, Science & Technology, Planning Department, Aizawl, Mizoram; India
 
2. Creator Author's name, affiliation, country Z. D. Laltanpuia; Mizoram Remote Sensing Application Centre, Science & Technology, Planning Department, Aizawl, Mizoram; India
 
3. Subject Discipline(s) Remote sensing and GIS application
 
3. Subject Keyword(s) GIS, Landslide Hazard Zonation, Lunglei, Remote Sensing
 
3. Subject Subject classification Landslide hazard zonation
 
4. Description Abstract

Immature geology coupled with heavy rainfall is the main causes of slope instability resulting in landslides in the hilly regions of north-east India including Mizoram. The occurrence of landslide is more frequent within the township where anthropogenic activities are taking place. The present study has been taken up to study the landslide prone areas of Lunglei town using high resolution satellite data. Various thematic layers, namely, lithology, geological structures, slope morphometry, geomorphology and land use/land cover were prepared using Satellite Remote Sensing and Geographic Information System (GIS) techniques. The various parameters were classified, ranked and weighted according to their assumed or expected importance in inducing slope instability based on apriori knowledge of the experts. A heuristic method has been applied for the assignment of ranks and weights. Finally, landslide hazard zonation map is prepared showing five hazard classes ranging from very low hazard to very high hazard. The landslide hazard zonation map prepared in the present study will be useful for carrying out mitigation programmes as well as for planning and implementation of future developmental schemes within the town.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2013-07-09
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type Remote sensing and GIS techniques
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-111
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 2 (Year 2013)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.) Lunglei town, Mizoram, India
 
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