Geo-spatial Information Science

Spatio-temporal Intelligence Foundation Models and Applications for Intelligent Earth Observation

Co-guest Editors

Bo Du, School of Computer Science, Wuhan University; Zhongguancun Academy, Beijing, China
dubo@whu.edu.cn

Antonio J. Plaza, Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Spain
aplaza@unex.es

Naoto Yokoya, Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo, Japan; Team Director, Geoinformatics Team, RIKEN AIP, Japan
yokoya@k.u-tokyo.ac.jp

Claudio Persello, ITC, the University of Twente, The Netherlands
c.persello@utwente.nl

Haonan Guo, LIESMARS, Wuhan University, China
haonan.guo@whu.edu.cn

Yonghao Xu, Department of Electrical Engineering, Linköping University, Sweden
yonghao.xu@liu.se

Zhuo Zheng, Department of Computer Science, Stanford University, USA
zhzheng@stanford.edu

Hongruixuan Chen, RIKEN Center for Advanced Intelligence Project (AIP), Japan
qschrx@gmail.com

Spatio-temporal intelligence is becoming a key enabler for the next generation of Earth observation, geographic information science, and intelligent decision-making.

With the rapid development of remote sensing satellite constellations, such as the Oriental Smart Eye, Earth observation is moving beyond data acquisition and information extraction toward intelligent perception, autonomous understanding, knowledge reasoning, and decision support.

This Special Issue focuses on spatio-temporal intelligence foundation models and their applications in intelligent Earth observation. It aims to bring together cutting-edge studies on theories, methods, systems, and applications that integrate multi-source remote sensing data, spatio-temporal knowledge, foundation models, and intelligent agents.

The Special Issue welcomes original research and review articles on topics including, but not limited to, spatio-temporal foundation models, remote sensing foundation models, multimodal geospatial models, vision-language models for Earth observation, intelligent geospatial agents, multi-source data fusion, spatio-temporal knowledge representation and reasoning, autonomous interpretation of Earth surface changes, urban intelligence, disaster monitoring and emergency response, ecological and environmental assessment, natural resource management, smart transportation, and related Earth applications.