The ArcGIS 10.4.1. This was also validated using

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The first phase of this study is to map and classify the
landslides in the study area and prepare a landslide inventory. As the study is
still on this preliminary phase, this report will give a detailed methodology
on the first phase.

The landslides were identified using visual interpretataion
using the Google Mars software. The same visual techniques used in the
identification of terrestrial landslides were employed with reference to
Brunetti et al., (2014).With very high horizontal accuracy and a relatively
detailed topography, the Google Mars offers an excellent platform for the
mapping of individual landslides. However, there are gaps in Google Mars which
have relatively low resolution images. The identification of landslides in such
regions were relatively inaccurate. These regions should be investigated for
the 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 ArcGIS
10.4.1 and was converted into a shapefile. This file was projected to
Equirectangular Mars projection using the Mars 2000 datum. A MARS MGS MOLA DEM
global mosaic of 463 m spatial resolution was used as validating topography. A
.kmz of the study area boundary was prepared from Google Mars and inturn
converted to shapefile using ArcGIS 10.4.1. This was also validated using the

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The geometry of the landslides were classified using the
approach of Brunetti et al., (2014). In addition to the five landslide types
identified by Brunetti et al., (2014) viz. Rock Slide, Compund Slide, Debris
Flow, Rock Avalanche and Rock Glacier Like Features, a sixth type called Lahar
was identified. Lahars were identified near to craters thus pointing towards an
impact induced volcanic activity.

The mapped landslides are spread over 10 regions of the
Valles 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 number
of landslides in each region was computed in ArcGIS 10.4.1. A count of each of
the six types of landslides was also made and a landslide inventory was

In the second phase of the study a validation of the results
will be carried out by creating a topography of the region using high
resolution images and DEMs. 

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