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Development of GIS based Landslide Information System for the Region of East Sikkim

by Shilpi Chakraborty, Ratika Pradhan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 7
Year of Publication: 2012
Authors: Shilpi Chakraborty, Ratika Pradhan
10.5120/7637-0720

Shilpi Chakraborty, Ratika Pradhan . Development of GIS based Landslide Information System for the Region of East Sikkim. International Journal of Computer Applications. 49, 7 ( July 2012), 5-9. DOI=10.5120/7637-0720

@article{ 10.5120/7637-0720,
author = { Shilpi Chakraborty, Ratika Pradhan },
title = { Development of GIS based Landslide Information System for the Region of East Sikkim },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 7 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number7/7637-0720/ },
doi = { 10.5120/7637-0720 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:45:38.549450+05:30
%A Shilpi Chakraborty
%A Ratika Pradhan
%T Development of GIS based Landslide Information System for the Region of East Sikkim
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 7
%P 5-9
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The use of remote sensing data, such as satellite imageries and aerial photos, allows us to map the variability of terrain properties, such as vegetation, water, geology, both in space and time. This paper suggests an integration of the classification of the landslides for the region of East Sikkim and the images are displayed through a web portal. The classification is done using k-means and k nearest neighbor classifier and the better one is selected to classify the landslides and then uploaded on a web portal.

References
  1. S. Evany Nithya, P. Rajesh Prasanna, "An Integrated Approach With GIS And Remote Sensing Technique For Landslide Hazard Zonation", International Journal Of Geomatics And Geosciences Volume 1, No 1, 2010, ISSN 0976 – 4380
  2. K. Sneha Silvia, Y. Vamsidhar, G. Sudhakar, "Colour Image Clustering using K-Means", IJCST Vol. 2, SP 1, December 2011, ISSN 0976-8491(Online) | ISSN : 2229-4333(Print).
  3. Ratika Pradhan, Mohan P. Pradhan, Ashish Bhusan, Ronak. K. Pradhan, M. K. Ghose, "Land-cover Classification and Mapping for Eastern Himalayan State Sikkim", Journal Of Computing, Volume 2, Issue 3, March 2010, ISSN 2151-9617
  4. D S Guru,Y. H. Sharath, S. Manjunath, "Texture Features and KNN in Classification of Flower Images", IJCA Special Issue on "Recent Trends in Image Processing and Pattern Recognition" , RTIPPR, 2010.
  5. Anil Z Chitade, Dr. S. K. Katiyar, Colour Based Image Segmentation Using K- Means Clustering, International Journal Of Engineering Science And Technology Vol. 2(10), 2010, 5319-5325.
Index Terms

Computer Science
Information Sciences

Keywords

Image classification k-means training set web portal k-nearest neighbor

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