2025 International Conference on Remote Sensing and Information Technology

May 16-18, 2025 Wuhan, China

Welcome to RSIT 2025

The 2025 International Conference on Remote Sensing and Information Technology (RSIT 2025) will take place from May 16-18, 2025, in Wuhan, China. RSIT 2025 aims to unite leading researchers, engineers, and industry experts to explore the latest advancements in remote sensing and its integration with cutting-edge information technology.

Remote sensing, the science of acquiring information about Earth’s surface without direct contact, has evolved significantly since its inception. Utilizing technologies like satellite imagery, radar, and LIDAR, remote sensing plays a vital role in various areas. The rise of advanced information technologies has further transformed how we analyze and apply remote sensing data, creating new possibilities for innovation.

RSIT 2025 will serve as a platform for exchanging ideas and showcasing research that bridges the gap between these two dynamic fields. The conference will feature keynote speeches, oral presentations and poster display. Join us in Guangzhou, a city known for its technological and cultural vibrancy, to advance the frontiers of remote sensing and information technology.

Important Dates

FUll Paper Submission Deadline:

April 18, 2025

Registration Deadline

May 09, 2025

FInal Paper Submission Deadline

May 10, 2025

Conference DateS

May 16-18, 2025

Submission

All submitted papers will be peer reviewed by 2-3 experts from the committees.  Accepted papers, following proper registration and presentation, will be included in the conference proceedings and submitted for indexing in EI Compendex and Scopus.

Remote Sensing Technologies and Applications

 1. SAR imaging and data analysis

 2. LIDAR systems and applications

 3. Hyperspectral and multispectral imaging

 4. Earth observation and satellite systems

 5. Environmental monitoring and disaster management

 6. Agricultural and forestry remote sensing

Call For Papers

Topics are included but not limited as informed

Information Technology for Remote Sensing

 1. Big data analytics in remote sensing

 2. AI and machine learning applications

 3. Internet of Things (IoT) for geospatial data

 4. Cloud and edge computing for remote sensing

 5. Geospatial data visualization and modeling

 6. Remote sensing data integration with GIS

Sponsored by

The Information Technology Centre, SAU, Pakistan

Department of Geoinformation in Environmental Management, CI-HEAM/Mediterranean Agronomic Institute of Chania, Greece

Copyright@RSIT2025

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