Description:

Exploring UAV and satellite data with Python is a rewarding task for applications as diverse as environmental monitoring, agriculture, disaster management, urban planning, and more. Python provides a rich ecosystem of libraries and tools for handling, processing and visualising geospatial data. Below is a general overview of the steps we will follow to explore UAV and satellite data using Python:

• Introduction to Remote Sensing
• What is geospatial data?
• Basics of satellite-based imaging sensors
• Different types of UAV / satellite imagery sensors
• Geospatial Python libraries
• How to process the satellite datasets to gain insights using Python?

Prerequisites:

MOST IMPORTANT

• Curiosity to learn something NEW..!!
• And, passion of PYTHON...!!

NON MANDATORY

• Basic of Remote Sensing and GIS
• Different types of Satellites/UAVs

Content URLs:

The slides are not ready yet, but here is a outline of the presentation:

1. What is remote sensing?

• Understanding the basic principle of remote sensing
• It's benefits in modern era

2. Introduction to Satellite Systems

• Types of satellites and their orbits
• Satellite based imaging and it's types

3. Introduction to UAV Systems

• Different types of UAV's
• Different types of UAV based imaging systems
• Data Acquisition and Enhancement
• Data Storage and Feature Extraction

4. What is Geospatial Technology?
5. How to get started with geospatial data?
6. Data Analysis

• Python's role in analysis
• Python geospatial libraries

7. Output visualisation
8. Mini introduction to mapping libraries
9. Machine learning and deep learning in geospatial analysis
10. Collaboration and sharing

Speaker Info:

I hold a Bachelor's degree in Computer Science (JKLU) and a Master's degree in Remote Sensing & GIS with a specialisation in Satellite Image Analysis and Photogrammetry (IIRS-ISRO).

Grounded and solution-oriented technocrat with a wide range of professional skills and the ability to translate problem statements into technical solutions. Adept at motivating-self and problem solving. Passionate about machine learning, geospatial programming and hyperspectral remote sensing, with a technology advocating compassion.

Involved in various communities such as IEEE, CSI, Amazon Alexa community, etc. Also judging & mentoring students in hackathons. I am a hackathon grand finalist at the national level, as well as Amazon Alexa community - Jaipur (community champion). Lastly, I am a tech enthusiast who loves to explore and learn new technologies.

Speaker Links:

Can explore my previous talks :

• Automated API Testing using KEPLOY

• Geospatial Analysis using Google Earth Engine

https://github.com/HarshAditya23/Presentation-Decks

SOCIALS

• Linkedin : https://www.linkedin.com/in/harshaditya-gaur-479b95a3/

• Blog : https://harshadityagaur.medium.com/

• Github : https://www.github.com/HarshAditya23