Dan Zhao is a professor at the Aerospace Information Research Institute of the Chinese Academy of Science and has received funding from the National Key Research and Development Programme's Young Scientist Project. His research focuses on remote sensing for aboveground biomass. He has proposed a new approach to monitoring aboveground biomass using the 'density × volume' method and has developed key technologies for non-destructive, ground-based observation, as well as spatiotemporally continuous, regional monitoring of aboveground biomass in forests and grasslands. He has also created a remote sensing-based estimation dataset for aboveground biomass at a national scale from 2000 to 2020. These efforts have provided technical support for the high-quality development of the forestry and grassland industries.

Qingwu Hu is a professor in Photogrammetry and remote sensing of Wuhan Universiy, and a visiting professor in Transportation Geography of University of Tennessee.His research interests multi-sensor integration mobile mapping, LiDAR and image fusion Simultaneous Localization and Mapping.

Prof. Dr.-Ing. habil. Hui Liu is the chair professor at Central South University, distinguished professor of Yangtze River Scholars of the Ministry of Education. He mainly interests in cross-research of artificial intelligence, robotics, digital twins and equipment. He was selected as Clarivate Analytics-Global Highly Cited Scientist, "Outstanding Young Scholar of China Engineering Frontier" of the Chinese Academy of Engineering, "Outstanding International Engineer Award" of the Royal Academy of Engineering, National Young Top Talent, Elsevier China Highly Cited Scholar, etc. He successively obtained the bachelor's degree of "Mechanical Engineering" in Central South University, the master's degree and doctor of engineering (PhD) in "Vehicle Application Engineering", and the doctor of engineering (Dr.-Ing.) in "Robotics Engineering" of CELISCA Key Laboratory in Germany. He was awarded the Germany Professorship (Robotics). He was the BMBF Junior Group Leader named by the German Federal Ministry of Education and Research and the director of the CELISCA Robotics Institute in Germany. He won the Springer-Nature "China New Development Award" and the Baosteel Outstanding Teacher Award. As the first PI, he won the World Internet Conference Leading Technology Award, the Second Prize of Technology Invention of the Ministry of Education, the Second Prize of Natural Science of the Ministry of Education, the Wu Wenjun Artificial Intelligence Technology Award and other awards, and participated in the first prize of the National Science and Technology Progress Award.

Chen Xiaojing, Ph.D., is a Professor and Doctoral Supervisor serving as the Deputy Dean of the School of Electrical and Electronics at Wenzhou University. His primary research focuses on optoelectronic information processing and detection. He has led four national-level projects and over ten provincial/ministerial-level projects. Supported by various national and provincial research programs, he has conducted in-depth and systematic studies on optoelectronic information processing and detection models. As the first or corresponding author, he has published more than 30 SCI papers in Q1 and Q2 journals in related fields, including Sensors and Actuators, Analytica Chimica Acta, Food Chemistry, Knowledge-Based Systems, and Chemometrics and Intelligent Laboratory Systems. His research achievements have been honored with awards such as the China Patent Award and the Science and Technology Progress Award from the China Instrument and Control Society.

Tianjun Wu is a professor and doctoral supervisor at the School of Land Engineering, Chang'an University. He serves as the head of the Geography Department at the university. He is mainly engaged in the research on remote sensing big data intelligent computing and geographic spatiotemporal intelligence. He has published over 100 academic papers in journals such as IEEE TGRS, IEEE JSTARS, and IEEE GRSL, authored 2 monographs, obtained 7 authorized invention patents/softwares, and led 7 national or provincial research projects. He serves as a member of the "Space Earth Big Data" and "Digital Mountain" Special Committee of the China National Committee of the International Digital Earth Society, and a reviewer for IGARSS and several journals in the field of remote sensing and geographic information.

Zhang Wangfei is a Professor and Doctoral Supervisor at the College of Forestry, Southwest Forestry University. She holds a postdoctoral fellowship from the Chinese Academy of Forestry and has been a visiting scholar at the University of Victoria (Canada), the National Institute of Technology (New Zealand), and the University of Stirling (UK). Her research interests include vegetation scattering mechanisms of SAR, Key technologies such as PolSAR, InSAR, and PolInSAR for forest height estimation, Multi-source remote sensing data fusion and its applications in quantitative vegetation remote sensing, and Smart growth monitoring of forest.

Dr. Pei Wang is an Associate Professor at the College of Engineering and Technology, Southwest University, and a Reserve Candidate for the Fourth Batch of Chongqing Academic and Technical Leaders. Holding Bachelor's, Master's, and Ph.D. degrees from China Agricultural University and the University of Hohenheim, Germany, his research spans plant protection machinery and application technology, pest/disease identification and early warning systems, and precision weeding equipment development. Actively engaged in the academic community, he serves as a working group expert for the ISO/TC23/SC6 Committee on Plant Protection Equipment, Associate Editor for Frontiers in Plant Science, and Discipline Associate Editor for Smart Agriculture at Frontiers of Agricultural Science and Engineering (Journal of the Chinese Academy of Engineering). Dr. Wang has been recognized internationally as a recipient of the European Conference on Precision Agriculture's "Young Scientist Grant" for his contributions to the field.