Xiaoyang Zhao
Researcher assistant, Division of Forest Remote Sensing
Presentation
I am a researcher assistant focusing on deep learning–based remote sensing image analysis. My work spans key tasks such as change detection, image classification, and multi-source data fusion, with particular interest in multispectral, hyperspectral, and UAV imagery. I am driven by the challenge of extracting reliable and meaningful information from complex Earth observation data, and by bridging advanced machine learning methods with real-world remote sensing applications. My goal is to develop robust, scalable models that support accurate environmental monitoring and decision-making.