Bhoo-Mandal Talk on December 16, 2022
Bhoo-Mandal Talk Title: Building the India Data Cube: Lessons Learned
Speaker: Amruth Kiran, Geospatial Lab, Indian Institute for Human Settlements (IIHS) Bengaluru
Time: 5:00 pm IST onDecember 16, 2022 (Friday)
Venue: [online on zoom meeting]
https://us06web.zoom.us/j/84342710230?pwd=N2xLZUFMOG40OEJZNkFOTXFjSVRQUT09
Shortened link: http://bit.ly/3ieTWpg
Abstract
Managing and subsequent processing of Big Earth Observation (EO) data is a challenge. There are terabytes worth of information and scores of methodologies that can be applied for Remote Sensing and GIS applications. In this talk, we’ll see how the Open Data Cube (ODC) framework works and how the Geospatial Lab at IIHS – Bangalore leveraged the power of open source and cloud computing to run large scale spatial data management and processing. In addition, we’ll also see why such a concept is required in moden geospatial methods and how academia/researchers/industry can benefit from it.
Note: This talk is not limited to Remote Sensing and GIS. This would cover some concepts of Computer Science, cloud computing and spatial data policies as well.
Speaker Biography
Amruth Kiran is a Senior Associate, part of the Geospatial Lab at the Indian Institute for Human Settlements, Bengaluru. His main area of expertise is building spatial data platforms and frameworks for Big Earth Observation (EO) data analysis, Spatial Data Infrastructures (SDI) and large scale survey designs. Amruth holds an undergraduate degree in Computer Science (VTU – Bangalore) and a postgraduate degree in Remote Sensing and GIS (Indian Institute of Remote Sensing – Dehradun) with a specialisation in Geoinformatics. Over the years at IIHS, he has developed various methods to centralise spatial data management, visualisation and processing methodologies that enables researchers to quickly access spatial data at scale. He also is part of the faculty at IIHS, where he trains students and researchers in spatial thinking, mapping and tools for Remote Sensing/GIS analysis.