Author(s)

Anil Chavan¹, Subham Sarkar^1,2, Adarsh Thakkar¹, Subhash Bhandari^1*

¹Department of Earth and Environment Science, Krantiguru Shyamji Krishna Verma Kachchh University, Bhuj, India.
²Space Applications Centre, Indian Space Research Organization, Ahmedabad, India.

Various spacecraft and satellites from the world’s best space agencies are exploring Mars since 1970, constantly with great ability to capture the maximum amount of dataset for a better understanding of the red planet. In this paper, we propose a new method for making a mosaic of Mars Reconnaissance Orbiter (MRO) spacecraft payload Context Camera (CTX) images. In this procedure, we used ERDAS Imagine for image rectification and mosaicking as a tool for image processing, which is a new and unique method of generating a mosaic of thousands of CTX images to visualize the large-scale areas. The output product will be applicable for mapping of Martian geomorphological features, 2D mapping of the linear feature with high resolution, crater counting, and morphometric analysis to a certain extent.

Mosaicking, ERDAS Imagine, Context Camera (CTX) Images, Mapping

Chavan, A. , Sarkar, S. , Thakkar, A. and Bhandari, S. (2021) A New Method of Mosaicking Context Camera (CTX) Images for the Geomorphological Study of Martian Landscape. Open Journal of Geology, 11, 373-380. doi: 10.4236/ojg.2021.118020.