Call For Papers
The ICRSNRM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in GIS (Geographic Information Systems), encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Remote sensing applications in resource management
- GIS for monitoring natural resource sustainability
- Spatial analysis of land use change
- Remote sensing for forestry management
- GIS in water resource assessment and planning
- Case studies in remote sensing applications
- Innovative technologies for resource monitoring
- Remote sensing for agricultural productivity analysis
- GIS for biodiversity conservation efforts
- Future trends in remote sensing technologies
- Community engagement in resource management with GIS
- Remote sensing for climate change impacts
- Geospatial data for mineral resource exploration
- GIS applications in fisheries management
- Spatial modeling for natural resource planning
- Remote sensing for disaster impact assessment
- Data visualization techniques in resource management
- Collaboration in remote sensing research initiatives
- User experience in remote sensing applications
- Remote sensing for urban resource management
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.