Top 10 Frontier Scientific Challenges in Remote Sensing Unveiled

Ten frontier scientific challenges expected to shape future research and technological development in remote sensing were unveiled on Aug. 28 at the opening ceremony of the Second National Conference on Remote Sensing Geography in Kashgar, northwest China's Xinjiang Uygur Autonomous Region.

Spanning fundamental theory, enabling technologies and strategic applications, the challenges highlight priorities ranging from intelligent Earth observation and disaster early warning to planetary exploration and climate-impact prediction. The conference brought together approximately 1,000 researchers and professionals from the remote sensing community.

At the launch ceremony, nine academicians from the fields of remote sensing and related Earth sciences jointly unveiled the list. A video presented at the event explained the rationale for selecting the challenges, their scientific significance and their potential applications.

Remote sensing is a fundamental tool for observing and understanding the Earth system. The integration of spaceborne, airborne, tower-based and ground-based observations with artificial intelligence, big data, digital twins and other emerging technologies is reshaping the field.

Remote sensing is moving beyond static observations of individual Earth-system components and surface features toward dynamic monitoring, cross-sphere analysis, process-oriented retrieval and penetrating sensing. This transition is also driving Earth science toward more quantitative, intelligent and data-driven research. The related paper highlights an emerging research paradigm that integrates physical mechanisms, big data and intelligent decision-making.

The Top 10 Frontier Scientific Challenges were jointly initiated by the editorial boards of the National Remote Sensing Bulletin and the Journal of Remote Sensing. They were developed through broad consultation with the research community, editorial-board evaluation and multiple rounds of expert discussion and refinement.

The challenges have been published in Chinese and English in the National Remote Sensing Bulletin and the Journal of Remote Sensing, respectively. The English-language article was published in the Journal of Remote Sensing in July 2026.

The Top 10 Frontier Scientific Challenges

1. Multi-Dimensional Radiative Transfer Mechanisms in Remote Sensing and Unified Cognitive Modeling

2. Intelligent Remote Sensing of Earth's Cycles

3. Theories and Methods for Coordinated Observation via Virtual Constellations of Remote Sensing Satellites

4. Bridging Foundation Model and AI Agent into Quantitative Inversion of Geoscience Parameters

5. Multimodal Real-Time Intelligent Processing Technology for Remote Sensing

6. Remote Sensing Detection of Habitable Planets and Planetary Habitable Environments

7. Multimodal Fusion of Remote Sensing and Social Sensing Data for Coupling Human–Natural System

8. Remote Sensing of Multi-Scale Physical Processes Inside Polar Ice Sheets

9. Global Real-Time Remote Sensing Monitoring and Early Warning Technology for Natural Disasters

10. Remote Sensing Prediction of Global Climate Change Impacts on Regional Ecosystems

Taken together, the challenges cover three broad areas: fundamental theory and modeling, observation and enabling technologies, and strategic and system-level applications.

At the level of fundamental theory and modeling, the challenges involving multidimensional radiative transfer, foundation models and AI agents, and physical processes inside polar ice sheets call for closer integration of physical mechanisms, intelligent modeling and quantitative analysis of complex Earth-system processes.

In observation and enabling technologies, virtual satellite constellations, multimodal real-time intelligent processing, and global real-time disaster monitoring and early warning underscore the need for coordinated multi-platform observations, cross-modal data integration, rapid processing and intelligent response.

At the strategic and system level, the challenges address Earth's carbon–water–energy cycles, planetary habitability, coupled human–natural systems, and the effects of global climate change on regional ecosystems. These topics reflect the expanding role of remote sensing in addressing climate change, ecological sustainability, disaster risk reduction, public health and deep-space exploration.

Overall, the list points to a broader transformation in remote sensing—from isolated observation to coordinated intelligent sensing, from static monitoring to dynamic prediction, and from data acquisition to integrated perception, cognition and decision-making.

The challenges are expected to serve as a reference for future research planning, major scientific initiatives, technological development, interdisciplinary collaboration and talent development. Continued progress in cross-disciplinary collaboration, open data sharing, intelligent platforms and international cooperation will further strengthen the role of remote sensing in advancing global sustainable development and human well-being.

Nine academicians—CHEN Fahu, DAI Yongjiu, HUANG Jianping, LIU Congqiang, TONG Qingxi, WANG Qiao, XIAO Wenjiao, ZHANG Bing and ZHOU Zhixin—jointly unveiled the list. (Image by AIRCAS)