International Science Community Association Research Journal of Recent Sciences 2277 - 2502 1 12 2012 December 2 Statistical Analysis for Landslide in Relation to Landuse, InSirumalai Hill, Dindigul District, Tami Nadu, India, using GI Technologies 36 39 EN Mohamadian Zahra 1 Department of Computer engineering, Shahrood Branch, Islamic Azad University, Shahrood, IRAN M. Bharani 1 Department of Textile - Fashion Technology, Bannari Amman Institute of Technology, Sathyamangalam, Erode District, TN, INDIA Gowda R.V.Mahendra 2 VSB College of Engineering, Karur, Tamil Nadu, INDIA AdaneAlemmebrat Kiflu 1 Department of Physical Education-Andhra University (AU), Visakhapatnam, INDIA Reddy R.C. 2 SyamBabu M. 3 Mohammed M.B. 1 Department of Applied Science, College of Science and Technology, Kaduna Polytechnic, Kaduna, NIGERIA Mohammed S.S. 2 Adewumi A.A.J. 3 Farshidfar Ramin 1 Sama Technical and Vocational Training College, Islamic Azad University, Qaemshahr Branch, Qaemshahr, IRAN Abbasali Ranjbar 2 Department of Architecture, Sari Branch, Islamic Azad University, Sari, IRAN Srinivas Mondam. 1 Lecturer, Department of Physiotherapy, Windfield International College, Kuala Lumpur, MALAYSIA SrikanthBabu V. 2 Lecturer, Department of Anatomy, MSU, Kuala Lumpur, MALAYSIA KumarB. Raviendra 3 Jalaja Prakash 4 N. Mayavan 1 Department of Futures Studies Madurai Kamaraj University, Madurai, INDIA Sundaram A. 2 > Research Paper 2012 10 5 2012 December 2 Landslide is among the major natural hazards that affect large parts of India, especially Western Ghats and Eastern Ghats. The paper presents a statistical approach through spatial data analysis in GIS with particular reference to land use pattern in Sirumalai Hill. This study to analysis the primary data with combined the engineering analysis method and ground validation to find the characteristics its spatial distribution in the study area. The present study uses sensitivity co-efficient to assess the effect of each land use category on landslide susceptibility. The analysis shows that the vulnerable category of land use is construction land and road, consisting of settlements and agriculture land and plantation. Hence from the study remote sensing and GIS techniques play a vital role in planning and evaluating disaster analysis. Copyright@ International Science Community Association