Few months back I read this paper written by Dave Petley. He worked and determined the number of landslides occurring in each countries worldwide. Remember that this data is for non-seismic landslides, and that it covers the period 2004-2010 inclusive. But media and researchers are saying his estimated deaths due to landslides underestimated. May be it will help you to know and extract for your study area and validate.

Remote sensing data can be very useful for landslide inventories. There have been many articles over the years discussing manual/visual landslide mapping, but also addressing (semi-)automated methods. In recent years there has been a focus on the use of object-oriented analysis methods (OOA, or OBIA) to create landslide inventories. Essentially, it's a 2 step approach: segment the images by clustering pixels with similar DN values, the use the attributes of the resulting segments or objects (size, location, orientation, texture etc.), where possible in conjunction with auxiliary layers (DEM, thematic maps, etc.) to classify those objects. This is very effective for the removal of objects that look like landslides but are not (river beds, road segments, clear-cuts, etc.). My group has written a range or articles on this, for example:

- Martha, T.R., van Westen, C.J., Kerle, N., Jetten, V.G. and Kumar, V. (2013) Landslide hazard and risk assessment using semi - automatically created landslide inventories. In: Geomorphology, 184 (2013) pp. 139-150.

- Martha, T.R., Kerle, N., van Westen, C.J., Jetten, V.G. and Kumar, K.V. (2012) Object - oriented analysis of multi - temporal panchromatic images for creation of historical landslide inventories. In: ISPRS Journal of Photogrammetry and Remote Sensing, 67 (2012) pp. 105-119.

- van den Eeckhaut, M., Kerle, N., Poesen, J. and Hervas, J. (2012) Object - oriented identification of forested landslides with derivatives of single pulse LiDAR data. In: Geomorphology, 173-174 (2012) pp. 30-42.

- Lu, P., Stumpf, A., Kerle, N. and ... [et al.] (2011) Object - oriented change detection for landslide rapid mapping. In: IEEE Geoscience and remote sensing letters, 8 (2011)4 pp. 701-705.

- Stumpf, A. and Kerle, N. (2011) Object - oriented mapping of landslides using random forests. In: Remote sensing of environment, 115 (2011)10 pp. 2564-2577.

- Martha, T.R., Kerle, N., van Westen, C.J., Jetten, V.G. and ... [et al.] (2011) Segment optimization and data - driven tresholding for knowledge - based landslide detection by object - based image analysis. In: IEEE Transactions on geoscience and remote sensing, 49 (2011)12 pp. 4928-4943.

- Martha, T.R., Kerle, N., Jetten, V.G., van Westen, C.J. and ... [et al.] (2010) Characterising spectral, spatial and morphometric properties of landslides for semi - automatic detection using object - oriented methods. In: Geomorphology, 116 (2010)1-2 pp. 24-36.

Hope this is useful.

Norman

Dear Sir,

Thank you for your suggestion.

Am doing my research on landslide study along 22 km ghat road section.

I got landslide inventory points from The State Highway Department. The inventory points only contain kilometer information along the ghat road section. There is no coordinate (lat/long) information. The cut slopes is the major problem in the study area. These cut slopes is not visible on satellite images. Because the area is covered by fairly dense forest.

The GPS points which i taken in the field is very inaccurate for my study area. Because the road is having many hairpin bends, the point taken at one hairpin bend is overlapping with other road bend.

Now I have only kilometer locations along ghat road for my inventory.

I sent paper to journal. Now i received comment from a reviewer to provide inventory map of my study area.

Kindly suggest me to prepare landslide inventory map.

Please find the attached road map of my study area embedded over satellite image of IRS LISS IV image (spatial resolution is 5.8 m) sir

Thank you

Maybe have a look at a paper one of my former PhD students wrote, also focusing on an Indian road corridor: Das et al. 2011, Probabilistic landslide hazard assessment using homogeneous susceptible units (HSU) along a national highway corridor in the northern Himalayas, India (the full version is linked to my Research Gate profile. He also did a largely field-based inventory with the support of remote sensing data.

Good luck, Norman

I know Dr. Das from IIRS, Dehradun. I was working with him for my M.Tech project work. Okay sir i will contact and discuss about this.

Thank you for your valuable suggestion sir.