I had the privilege of guiding three students from the Central University of Tamil Nadu during their internship at the Salim Ali Centre for Ornithology and Natural History (SACON), Coimbatore. Under the mentorship of Senior Scientist Dr. Mahendiran Mylswamy, I facilitated their learning experience and imparted essential GIS skills crucial for their internship objectives.

During the internship, I focused on equipping the students with a comprehensive understanding of GIS fundamentals and practical applications. This included:

• Training in JavaScript and Google Earth Engine to enable them to utilize these tools effectively for spatial analysis and geoprocessing.

• Instruction on the usage of Sentinel-2 satellite imagery and the implementation of Land Use/Land Cover (LULC) classification techniques.

• Hands-on experience in calculating and interpreting various vegetation indices such as NDVI (Normalized Difference Vegetation Index), NDWI (Normalized Difference Water Index), and NDBI (Normalized Difference Built-up Index).

• Training sessions on QGIS platform to familiarize the students with open-source GIS software and its functionalities for data visualization and analysis.

I had the privilege of contributing as a resource person at the AICTE ATAL Faculty Development Program on Data Science in Agriculture, hosted by Tamil Nadu Agricultural University Coimbatore from November 20th to 25th, 2023.

During the program, I conducted a focused half-day session titled "Spatial Data Creation using GIS." Through theoretical discussions and practical demonstrations using QGIS, participants gained hands-on experience in spatial data manipulation and analysis.

The session received positive feedback, resonating well with participants and highlighting the significance of GIS in agricultural research and decision-making.

Participating in this program was a rewarding experience, allowing me to share expertise and contribute to advancing knowledge in data science for agricultural innovation.

In January 2023, I had the honor of conducting a comprehensive two-day training session on Google Earth Engine for students of the Geography department at the University of Madras, Chennai. This training program was designed to provide both theoretical insights and hands-on experience to over 50 participants, including M.Sc Geography students, M.Tech Geoinformatics students, and research scholars.

Over the course of two days (9th and 10th January 2023), we delved into a wide range of topics covering the fundamentals of Google Earth Engine and its practical applications. The training sessions were structured to ensure a balance between theoretical concepts and practical exercises, allowing participants to gain a deep understanding of the platform and its capabilities.

Some of the key topics covered during the training included:

• Basics of JavaScript programming language, essential for scripting in Google Earth Engine.

• An overview of Google Earth Engine, including its features, tools, and data sources.

• Importing and filtering Sentinel-2 satellite imagery for analysis.

• Calculating various vegetation indices such as NDVI, NDWI, and NDMI for land cover classification.

• Introduction to machine learning (ML) techniques for image classification.

• Time-series analysis of satellite imagery to monitor changes over time.

• Exporting processed images for further analysis or visualization.

Through hands-on sessions, participants were able to apply the concepts learned to real-world scenarios, gaining practical experience in using Google Earth Engine for geospatial analysis and research.

By the end of the training program, participants had acquired valuable skills and knowledge that they could apply to their academic pursuits, research projects, and professional endeavors in the field of geography and geoinformatics.