She has published more than 50 academic papers in journals such as RSE, ISPRS P&RS, and IEEE TGRS, with over 2000 citations (Google Scholar). She is the author of the monograph 'Information Correction for Improving Remote Sensing Data Quality'. She has received awards including the ERDAS Best Scientific Paper Award from the American Society for Photogrammetry and Remote Sensing (ASPRS), the First Prize for Science and Technology Progress in Hubei Province, the First Prize for Geospatial Information Science and Technology Progress, and the First Prize for Surveying and Mapping Science and Technology Progress.
Research Experience
She has led several projects including an Excellent Young Scientist Fund from the National Natural Science Foundation of China, three key research and development projects at the national level, and over ten provincial and ministerial-level projects.
Education
Graduate degree; Professor; Affiliated with the School of Resource and Environmental Sciences.
Background
Professor and doctoral supervisor, mainly focusing on urban remote sensing information processing and application. She addresses the serious radiometric distortions in satellite and aerial images caused by atmospheric attenuation and complex surfaces, using a combination of mechanistic, variational, statistical, and deep learning models to develop multi-model fusion correction theories and methods. Her work also includes multiscale remote sensing monitoring and analysis of urban temperatures.
Miscellany
Interested graduate and undergraduate students are welcome to contact and join her research team! (Long-term valid)