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20 Courses

Modified 14 January 2022

EVEN SEMESTER JAN 2022

Teacher: Dr. RAMIYA A M, Assistant Professor Earth & Space Science

Scientific Computing for Geospatial Data Analysis 2021Geo

Overview

Course Description

 Earth observation platforms, be it spaceborne, Drone/UAV based  or terrestrial platforms generate  massive geographically distributed  geospatial data  with increasingly finer spatial and temporal resolutions. Efficiently analyzing and utilising such datasets for informed decision making for many real world applications demand suitable geoprocessing methods.   Traditional geospatial analysis methods/ algorithms available in most of the  off the shelf COTS software packages are limited to specific processing and applications.

With the developments in computational approaches and the availability of open source libraries and tools for geospatial processing, there is a need and demand for geospatial professionals who will be can adapt to this changing paradigm within the remote sensing community. 

This course is structured to equip the students with necessary tools for processing geospatial data. Blended with programming hands-on exercises, at the end of the course, students will equip themselves with processing geospatial datasets using 
open source libraries and tools


What you'll learn

  • Introduction to concepts of programming 

  • Data Structures

  • Spatial Databases

  • Computing for processing geospatial datasets