naa a22 4500 510756603 CHVBK 20180411083124.0 cr unu---uuuuu 180411e20131001xx s 000 0 eng 10.1007/s12594-013-0162-z doi (NATIONALLICENCE)springer-10.1007/s12594-013-0162-z Landslide susceptibility assessment using Information Value Method in parts of the Darjeeling Himalayas [Elektronische Daten] [Shraban Sarkar, Archana Roy, Tapas Martha] Landslide susceptibility is the likelihood of a landslide occurrence in an area predicted on the basis of local terrain conditions. Since last few years, researchers have attempted to analyse the probability of landslide occurrences and introduced different methods of landslide susceptibility assessment. The objective of this paper is to assess the landslide susceptibility in parts of the Darjeeling Himalayas using a relatively simple bivariate statistical technique. Seven factor layers with 24 categories, responsible for landslide occurrences in this area, are prepared from Cartosat and Resourcesat — 1 LISS-IV MX data. Each category was given a weight using the Information Value Method. Weighted sum of these values were used to prepare a landslide susceptibility map. The result shows that 8% area was predicted for high, 32% for moderate and remaining 60% for low landslide susceptibility zones. The high value (0.89) of the area under the receiver operating characteristic curve showed the high accuracy of the prediction model. Geological Society of India, 2013 Darjeeling Himalayas nationallicence Hazard and risk nationallicence Landslide nationallicence Satellite data nationallicence ROC nationallicence Bivariate statistics nationallicence Sarkar Shraban Department of Geography, Banaras Hindu University, 221 005, Varanasi, India aut Roy Archana Department of Geography, Banaras Hindu University, 221 005, Varanasi, India aut Martha Tapas Geosciences Division, National Remote Sensing Centre, ISRO, 500 037, Hyderabad, India aut Journal of the Geological Society of India Springer India 82/4(2013-10-01), 351-362 0016-7622 82:4<351 2013 82 12594 https://doi.org/10.1007/s12594-013-0162-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12594-013-0162-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sarkar Shraban Department of Geography, Banaras Hindu University, 221 005, Varanasi, India aut NATIONALLICENCE 700 1- Roy Archana Department of Geography, Banaras Hindu University, 221 005, Varanasi, India aut NATIONALLICENCE 700 1- Martha Tapas Geosciences Division, National Remote Sensing Centre, ISRO, 500 037, Hyderabad, India aut NATIONALLICENCE 773 0- Journal of the Geological Society of India Springer India 82/4(2013-10-01), 351-362 0016-7622 82:4<351 2013 82 12594 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer