

13-15
Nov.
Conference Dates
2026
1
Oct.
Full Paper Submission Date
2026
12
Oct.
Registration Deadline
2026
1
Nov.
Final Paper Submission Date
2026
The RSDE conference aims to gather professors, researchers, scholars, and industrial pioneers from all over the world. As the premier forum for the presentation and exchange of past experiences, new advances, and research results in the fields of remote sensing and digital earth, the 2026 3rd International Conference on Remote Sensing and Digital Earth (RSDE 2026) will take place in the vibrant city of Hangzhou, China, from November 13th to 15th, 2026. Organized by Hangzhou Normal University, the conference welcomes contributions that promote the exchange of ideas and rational discourse among educators, researchers, and professionals worldwide. Topics of interest include, but are not limited to: Optical Surveying and Geodesy, Multispectral and Hyperspectral Optical Imaging, Vegetation and Ecological Optical Monitoring, Deformation Monitoring, Machine Learning and Deep Learning, Geographical Science, and CubeSat-Based Optical Earth Observation. The organizing committee is pleased to invite prospective authors to submit their original manuscripts to RSDE 2026.
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Cover

Ei Compendex

Scopus

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
The topics of interest for submission include, but are not limited to:
◕ Theory and Technology of Optical Remote Sensing
◕ Imaging, Data Processing, and Intelligent Algorithms
◕ Applications of Optical Remote Sensing in Environment and Earth Observation
◕ Optical Data-Driven Geoinformation Science and Digital Earth