 | Prof. Mingming JiaNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, China Dr. Mingming Jia completed her Master's and PhD studies in Cartography and Geographic Information Systems at the University of Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, in 2014. From 2016 to 2018, she served as a Postdoctoral Fellow and Research Assistant Professor at the University at Buffalo, State University of New York. From 2014 to 2018, she worked as an assistant researcher at the Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences. Now, she is a research assistant with the Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences. Her research interests include understanding the structure and function of mangrove species succession and exploring MF changes under the influence of human and natural factors. She is also the Deputy Secretary-General of the Digital Wetland Professional Committee of the China National Committee of the International Society for Digital Earth, a member of the Women Scientists Working Committee of the China National Committee of the International Society for Digital Earth, and a young scientist of the International Research Center for Big Data for Sustainable Development (CBAS). She has won the first prize in the Jilin Province Natural Science Award and the China Remote Sensing Outstanding Achievement Award. |
 | Prof. Yanmin ShuaiZhejiang Normal University, China Professor of the "Shuanglong Scholar" Program at Zhejiang Normal University; Supervisor for Master's and Doctoral Students, as well as Postdoctoral Fellows; Earned a Ph.D. jointly from Boston University and Beijing Normal University; Has long been dedicated to the research and development of satellite remote sensing data products and quantitative geoscience remote sensing; From 2009 to 2017, he conducted research at NASA's Goddard Space Flight Center (GSFC) and the University of Massachusetts Boston, focusing on the development of standard land surface data products from satellites like MODIS and Landsat, vegetation monitoring, and surface radiation balance studies; He has led major projects including the National Key R&D Program of China, the National Natural Science Foundation of China (NSFC), the Chinese Academy of Sciences (CAS) Talent Program, the Provincial Leading Innovative Talent Program, the Provincial Natural Science Foundation, and a public welfare project for the National Bureau of Agriculture; He has co-led NASA's Terra & Aqua program and the U.S. Geological Survey's (USGS) Landsat standard data product development initiative; The MODIS BRDF/Albedo near-real-time system he developed was first included in the international IMAPP software package and later officially released globally by the Space Science and Engineering Center (SSEC) at the University of Wisconsin-Madison; The Landsat surface albedo estimation method he proposed was adopted by the USGS to produce multi-year standard data products for the entire North American continent; He has been honored with titles such as the "Hundred-Talent Program" Fellow of the Chinese Academy of Sciences and the "Climbing Scholar" Leading Innovative Talent of Liaoning Province; He has authored approximately 60+ high-level SCI/EI papers and several core Chinese journal articles; He has guided undergraduate students in securing numerous National and Provincial College Student Innovation and Entrepreneurship projects and led an undergraduate team to win the first prize in the "South Surveying & Mapping" Scientific Paper Competition. |
 | Prof. Jianguang WenAerospace Information Research Institute, Chinese Academy of Sciences, China Prof. Jianguang Wen is a Professor and Ph.D. Supervisor at the Aerospace Information Research Institute, Chinese Academy of Sciences (CAS). He also serves as a Specially Appointed Researcher (Core Backbone) of CAS, Deputy Director of the Third Department, Director of the Validation Technology Division, and Executive Deputy Director of the Huailai Remote Sensing Comprehensive Test Station, CAS . He previously served as Deputy Director of the State Key Laboratory of Remote Sensing Science. Prof. Wen's research focuses on quantitative remote sensing over complex surfaces, with emphasis on remote sensing modeling, quantitative inversion, remote sensing experiments, and product validation . His work addresses key challenges in anisotropic reflectance modeling over rugged terrain, developing a series of multi-angle remote sensing models for complex surfaces and systematically resolving critical issues in BRDF modeling over mountainous areas . He proposed a virtual satellite constellation approach for collaborative inversion of surface BRDF using multi-angle data, leading to the development of MuSyQ BRDF and albedo products. Prof. Wen has led numerous major research initiatives, including projects under the National Key R&D Program of China, the High-Resolution Earth Observation System Major Project, and the National Natural Science Foundation of China (NSFC) . He has organized comprehensive remote sensing experiments and established national spectral databases of typical land surfaces as well as multi-scale remote sensing science experiment databases . He has developed validation systems for remote sensing products over complex surfaces and created an online operational system for quantitative remote sensing product validation. He has authored or co-authored over 160 peer-reviewed papers in leading international journals such as Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing, including more than 100 SCI-indexed papers . He has published three academic monographs and holds multiple national invention patents and software copyrights . He has led or contributed to the release of six national standards for remote sensing product validation. His contributions have been recognized with the First Prize of Surveying and Mapping Science and Technology Progress Award (2018) and the Second Prize of Beijing Science and Technology Progress Award (2021) . He serves as Deputy Secretary-General of the Quantitative Remote Sensing Professional Committee of the China Association of Remote Sensing Applications and Vice Chairman of the Digital Mountain Professional Committee of the International Society for Digital Earth. |
 | Prof. Yanlian ZhouNanjing University, China Prof. Yanlian Zhou is an Associate Professor in the School of Geographic and Oceanographic Sciences at Nanjing University, affiliated with the Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology . She was born in Hubei Province in 1980 and received her Ph.D. degree in Cartology and Geographical Information System from the Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences in 2008. She joined Nanjing University in the same year and has been engaged in teaching and scientific research in the Department of Geographic Information Science ever since. Prof. Zhou's research focuses on terrestrial ecosystem modeling, vegetation parameter retrieval using remote sensing, and carbon cycle studies. She employs integrated approaches combining remote sensing inversion, GIS spatial analysis, and model simulation to investigate terrestrial ecosystem productivity simulation and carbon dynamics . Her current research interests include simulating terrestrial carbon and water fluxes using ecological models, remotely sensed data, and eddy covariance measurements. She has led two projects funded by the National Natural Science Foundation of China (NSFC), including a general project on remote sensing estimation models for net ecosystem carbon exchange and a youth project on optimizing key ecological model parameters based on eddy covariance flux data. She has also participated in over ten major research initiatives, including projects under the National Key R&D Program, the National Basic Research Program (973 Program), and the National High-tech R&D Program (863 Program). Prof. Zhou has authored over 20 papers in international journals . Her representative publications include work on two-leaf light use efficiency models for mapping gross primary productivity against sun-induced chlorophyll fluorescence data published in Science of the Total Environment, and global parameterization and validation of two-leaf light use efficiency models across FLUXNET sites published in the Journal of Geophysical Research: Biogeosciences. She was honored with the Fourth Jiangsu Youth Remote Sensing and Geographic Information System Science and Technology Award. |
 | Prof. Lisheng SongAnhui Normal University, China Prof. Lisheng Song is a Professor at the School of Geography and Tourism, Anhui Normal University, and a researcher at the Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin. He received his Ph.D. in Cartography and Geography Information Systems from Beijing Normal University in 2016. His research interests focus on hydrometeorology and remote sensing, particularly in estimating evapotranspiration (ET), gross primary productivity (GPP), and soil moisture using thermal and microwave satellite data . He has published extensively in leading journals such as Remote Sensing of Environment, Agricultural and Forest Meteorology, and IEEE Transactions on Geoscience and Remote Sensing, with over 80 documents and more than 2,600 citations to his credit. |