Tirtha Gajjar

Research Interests

My area of interest focuses on tracking and mapping of land cover changes and environmental pollution using earth observation images and LiDAR point clouds and machine learning algorithms. I am specifically interested in urban land cover classification, urban heat island mapping, machine learning approaches to semantic segmentation of remote sensing images and point clouds.  I am also keen to learn advanced methods that includes deep learning algorithms for performing image analysis, image segmentation and classification, which helps in obtaining detailed information of environmental issues under concern. Check my Linkedin to find more information about me.

Education

• BSc (Hons) in Physics (with Diploma in Liberal Studies), Pandit Deendayal Energy University, India, 2021

Publications

• Tirtha Gajjar, 2021. Human-environmental evaluation of a solar plant: Case Study of a Developing Solar City of Gujarat, India (2021), BSc (Hons) Thesis, in process for publishing.
• Tirtha Gajjar, 2018. Hybrid energy generation system to enhance energy efficacy, Presented at International Conference on Energy Future and Societal Perspectives, India.