Jialin Sun (孙嘉麟) received his master’s degree in Land Use and Information Technology from China Agricultural University. He is currently a research assistant at the Urban Environmental Monitoring and Modeling laboratory, led by Prof. Xuecao Li. He has a strong background in remote sensing, with interdisciplinary expertise spanning geography, agriculture, machine learning, and artificial intelligence. His current research focuses on urban sustainability and urban ecology. Specifically, he is studying the visual accessibility of urban greenspaces from buildings of varying heights on a global scale, as well as the generation of high-resolution, hourly land surface temperature products for cities worldwide. Prior to joining the lab, he worked on crop mapping using deep learning techniques, particularly leveraging visual foundation models.

If you have anything you want to communicate, feel free to contact him through jialinsun4815162342@gmail.com.