Aligned with
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 15 — Life on Land
This track focuses on the latest innovations in remote sensing technologies and their applications in environmental impact assessments. Participants will explore how emerging sensor technologies enhance data collection and analysis for sustainable engineering practices.
This session will delve into the integration of Geographic Information Systems (GIS) with remote sensing for effective environmental monitoring. Discussions will include case studies that highlight the role of GIS in spatial analysis and decision-making.
This track will explore the use of predictive modeling techniques in assessing environmental impacts. Researchers will present methodologies that leverage remote sensing data to forecast potential environmental changes.
This session will cover advanced feature extraction methods utilized in remote sensing applications. Participants will discuss the significance of these techniques in enhancing the accuracy of environmental assessments.
This track emphasizes the role of data analytics in supporting environmental decision-making processes. Presentations will showcase how big data and machine learning can improve the interpretation of remote sensing data.
This session will investigate how remote sensing contributes to sustainability assessments in various engineering projects. Attendees will learn about frameworks that incorporate remote sensing data to evaluate sustainability metrics.
This track will focus on the application of satellite imagery for infrastructure monitoring and management. Participants will discuss methodologies for assessing the condition and performance of critical infrastructure.
This session will address the integration of remote sensing in risk assessment frameworks for environmental engineering. Discussions will highlight the importance of accurate data in identifying and mitigating environmental risks.
This track will explore optimization techniques applied to environmental assessment processes. Researchers will present strategies that enhance efficiency and effectiveness in utilizing remote sensing data.
This session will showcase innovative applications of various sensor technologies in environmental monitoring. Participants will discuss how these technologies can be leveraged to improve data accuracy and reliability.
This track will feature case studies that illustrate the practical applications of remote sensing in environmental impact assessments. Attendees will gain insights into real-world challenges and solutions in the field.
SNRI maintains uninterrupted academic processes in the current global situation. Participants can engage and publish through online and blended conference formats.
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