International Conference on

Structural Engineering Using Remote Sensing Techniques (ICSTRERS-26)

Conference Date

22nd Jul - 23rd Jul 2026

Conference Venue

Christchurch, New Zealand

Conference Mode

Hybrid Conference
Proudly organized by:- Science Leagues

"Join global experts in Structural Engineering Using Remote Sensing Techniques"

Registration Options

View all registration categories and choose the best fit.

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

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
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Advancements in Remote Sensing for Structural Health Monitoring

This track focuses on the latest developments in remote sensing technologies for monitoring the health of structures. Emphasis will be placed on innovative methodologies that enhance the accuracy and efficiency of structural assessments.

Track 02

GIS Applications in Infrastructure Diagnostics

This session explores the integration of Geographic Information Systems (GIS) in the diagnostics of civil infrastructure. Participants will discuss case studies and methodologies that leverage GIS for improved decision-making in structural engineering.

Track 03

Satellite Imagery for Bridge Monitoring and Assessment

This track examines the use of satellite imagery in the monitoring and assessment of bridge structures. The session will highlight techniques for feature extraction and data analysis to ensure structural integrity.

Track 04

Predictive Modeling in Structural Engineering

This session will delve into predictive modeling techniques that utilize remote sensing data for forecasting structural performance. Attendees will share insights on the application of machine learning and statistical methods in engineering design.

Track 05

Sensor Technologies for Enhanced Structural Assessment

This track focuses on the role of advanced sensor technologies in the assessment of structural integrity. Discussions will include the integration of various sensors and their impact on data collection and analysis.

Track 06

Data Analytics in Civil Engineering Applications

This session highlights the application of data analytics in civil engineering, particularly in the context of remote sensing. Participants will explore techniques for processing and interpreting large datasets to inform engineering decisions.

Track 07

Process Optimization in Structural Engineering

This track addresses strategies for optimizing engineering processes through the use of remote sensing techniques. The focus will be on improving efficiency and effectiveness in structural design and assessment.

Track 08

Resilience of Infrastructure through Remote Sensing

This session explores how remote sensing can contribute to the resilience of infrastructure systems. Discussions will center on methodologies for assessing vulnerabilities and enhancing the durability of civil structures.

Track 09

Feature Extraction Techniques in Remote Sensing

This track focuses on the various techniques for feature extraction from remote sensing data relevant to structural engineering. Participants will discuss advancements in algorithms and their applications in infrastructure monitoring.

Track 10

Innovative Engineering Design Using Remote Sensing Data

This session will explore how remote sensing data can inform innovative engineering design practices. Case studies will illustrate the successful integration of remote sensing into the design process.

Track 11

Challenges and Solutions in Remote Sensing for Structural Engineering

This track addresses the challenges faced in the application of remote sensing techniques within structural engineering. Participants will share solutions and best practices to overcome these obstacles and enhance the field.