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

R.K Lallianthanga, Z. D. Laltanpuia

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.



Keywords


GIS, Landslide Hazard Zonation, Lunglei, Remote Sensing

Full Text: PDF

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)