The first phase of this study is to map and classify thelandslides in the study area and prepare a landslide inventory. As the study isstill on this preliminary phase, this report will give a detailed methodologyon the first phase. The landslides were identified using visual interpretataionusing the Google Mars software. The same visual techniques used in theidentification of terrestrial landslides were employed with reference toBrunetti et al., (2014).

With very high horizontal accuracy and a relativelydetailed topography, the Google Mars offers an excellent platform for themapping of individual landslides. However, there are gaps in Google Mars whichhave relatively low resolution images. The identification of landslides in suchregions were relatively inaccurate. These regions should be investigated forthe availability of HiRISE or HRSC images, in the later part of the project,which would provide a better identification of landslides. The .kmz file of the landslides mapping was imported into ArcGIS10.4.

1 and was converted into a shapefile. This file was projected toEquirectangular Mars projection using the Mars 2000 datum. A MARS MGS MOLA DEMglobal mosaic of 463 m spatial resolution was used as validating topography. A.kmz of the study area boundary was prepared from Google Mars and inturnconverted to shapefile using ArcGIS 10.

4.1. This was also validated using theMOLA DEM.   The geometry of the landslides were classified using theapproach of Brunetti et al., (2014). In addition to the five landslide typesidentified by Brunetti et al., (2014) viz.

Rock Slide, Compund Slide, DebrisFlow, Rock Avalanche and Rock Glacier Like Features, a sixth type called Laharwas identified. Lahars were identified near to craters thus pointing towards animpact induced volcanic activity. The mapped landslides are spread over 10 regions of theValles Marineris viz. the Ophir region, the Candor region, the Melas region,the Tithonium region, the Ius region, the Noctis Labarynthus region, the Hebas region,the Coprates the Ganges and Capri Chasma region and the Eos region. The numberof landslides in each region was computed in ArcGIS 10.4.

1. A count of each ofthe six types of landslides was also made and a landslide inventory wasprepared.   In the second phase of the study a validation of the resultswill be carried out by creating a topography of the region using highresolution images and DEMs.