Description

2025 International Conference on Renewable Resources and Remote Sensing Mapping Technology (RRRST 2025) is scheduled to be held in Wuhan, China on 30-31 October 2025. We hope that through this conference, we can promote development and innovation in these fields and attendees will have the opportunity to showcase their research progress, discover emerging trends, and network with fellow professionals in a collaborative environment. All accepted full papers will be published as the Conference Proceedings by IOP Publishing and submitted to EI Compendex, Scopus and Inspec for indexing. Email: rrrsmt@163.com Tel./WeChat: 17720581251 https://www.rrrsmt.com/

Call For Papers

Call for Papers

Topics include but are not limited to:

1. Renewable Resources

Water resources, Land resource, Mineral resources, Forest resource, Marine resource, Solar resources, Geothermal resources, Hydroenergy, Wind resources, Biomass resources, Ocean resources, Tidal resources, Wave resources, Resource recovery, Energy by ocean current, Luminous resources, Salt differential resources, Energy resource management and protection, Climate change and global warming, Air pollution and atmospheric control, Water pollution and water resources management, Soil pollution and remediation, Sustainable development and green development, Clean energy and low-carbon development, Environmental protection technology innovation and application, Resource utilization efficiency and resource conservation, Resource recycling and waste management, Resource extraction and sustainable development, Climate change and resource impacts

2. Remote Sensing Mapping Technology

Radar Remote Sensing, Lidar Remote Sensing, Hyperspectral Remote Sensing, Microwave Remote Sensing, Optical Remote Sensing, Classification and Data Mining Techniques, Coastal Zone Change Detection, GIS/Earth Monitoring and Mapping, Global Positioning and Navigation Systems, Mapping/Photogrammetry, Multi-scale Segmentation, Object Extraction, Oil Spill Detection and Tracking, Photogrammetric Computer Vision, Point Cloud Processing, Random Forest Classifiers, Range Image Processing, Renewable Energy Mapping, Sea Pollution/Oil-spill Detection, Sensor Systems and Platforms, Sparse and Redundant Representation, Spatial Technologies and Landscape, Spatio-temporal Data Fusion, Support Vector Machine classifiers, Applications of Remote Sensing